Leaders in Pharmaceutical Business Intelligence Group, LLC, Doing Business As LPBI Group, Newton, MA

Archive for the ‘Cancer Informatics’ Category

Emerging STAR in Molecular and Cell Biology, Synthetic Virology and Genomics: Clodagh C. O’Shea: ChromEMT – Visualizing 3D chromatin structure

Posted in CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Informatics, Cell Biology, Cell Biology, Signaling & Cell Circuits, Cell Processing System in Cell Therapy Process Development, Gene Therapy & Gene Editing Development, Genome Biology, Genomic Expression, Genomic Testing: Methodology for Diagnosis, Interviews with Scientific Leaders, Molecular Genetics & Pharmaceutical, Mutant Gene Expression, Oncolytic virus & OncoViro-Therapy, Scientist: Career considerations, Single Cell Genomics, Synthetic Virology, Variation in human protein-coding regions, Women in Life Sciences, women in science on August 31, 2017| Leave a Comment »

Emerging STAR in Molecular Biology, Synthetic Virology and Genomics: Clodagh C. O’Shea: ChromEMT – Visualizing 3D chromatin structure

WordCloud Image Produced by Adam Tubman

Curator: Aviva Lev-Ari, PhD, RN

On 8/28/2017, I attend and covered in REAL TIME the CHI’s 5th Immune Oncology Summit – Oncolytic Virus Immunotherapy, August 28-29, 2017 Sheraton Boston Hotel | Boston, MA

LIVE – 8/28 – CHI’s 5th Immune Oncology Summit – CHI’s 4th Oncolytic Virus Immunotherapy, August 28-29, 2017 Sheraton Boston Hotel | Boston, MA

I covered in REAL TIME this event and Clodagh C. O’Shea talk at the conference.

On that evening, I e-mailed my team that

“I believe that Clodagh C. O’Shea will get the Nobel Prizebefore CRISPR

11:00 Synthetic Virology: Modular Assembly of Designer Viruses for Cancer Therapy

Clodagh O’Shea, Ph.D., Howard Hughes Medical Institute Faculty Scholar; Associate Professor, William Scandling Developmental Chair, Molecular and Cell Biology Laboratory, Salk Institute for Biological Studies

Design is the ultimate test of understanding. For oncolytic therapies to achieve their potential, we need a deep mechanistic understanding of virus and tumor biology together with the ability to confer new properties.

To achieve this, we have developed

• combinatorial modular genome assembly (ADsembly) platforms,
• orthogonal capsid functionalization technologies (RapAd) and
• replication assays that have enabled the rational design, directed evolution, systematic assembly and screening of powerful new vectors and oncolytic viruses.

Clodagh O’Shea’s Talk In Real Time:

• Future Cancer therapies to be sophisticated as Cancer is
• Targer suppresor pathways (Rb/p53)
• OV are safe their efficacy ishas been limited
• MOA: Specify Oncolytic Viral Replication in Tumor cells Attenuate – lack of potency
• SOLUTIONS: Assembly: Assmble personalized V Tx fro libraries of functional parts
• Adenovirus – natural & clinical advantages
• Strategy: Technology for Assmbling Novel Adenovirus Genomes using Modular Genomic Parts
• E1 module: Inactives Rb & p53
• core module:
• E3 Module Immune Evasion Tissue targeting
• E4 Module Activates E2F (transcription factor TDP1/2), PI3K
• Adenovirus promoters for Cellular viral replication — Tumor Selective Replication: Novel Viruses Selective Replicate in RB/p16
• Engineering Viruses to overcome tumor heterogeneity
• Target multiple & Specific Tumor Cel Receptors – RapAd Technology allows Re-targeting anti Rapamycin – induced targeting of adenovirus
• Virus Genome: FKBP-fusion FRB-Fiber
• Engineer Adenovirus Caspids that prevent Liver uptake and Sequestration – Natural Ad5 Therapies 
• Solution: AdSyn335 Lead candidat AdSyn335 Viruses targeting multiple cells
• Engineering Mutations that enhanced potency
• Novel Vector: Homes and targets
• Genetically engineered PDX1 – for Pancreatic Cancer Stroma: Early and Late Stage

On Twitter:

 

Aviva Lev-Ari‏ @AVIVA1950  Aug 28

 

More

#IOSummit @Pharma_BI @AVIVA1950 Engineer Adenovirus Caspids prevent Liver uptake and Sequestration – Natural Ad5 Therapies C. O’Shea, HHDI

 

Scientist’s Profile: Clodagh C. O’Shea

http://www.salk.edu/scientist/clodagh-oshea/

 

EDUCATION

BS, Biochemistry and Microbiology, University College Cork, Ireland
PhD, Imperial College London/Imperial Cancer Research Fund, U.K.
Postdoctoral Fellow, UCSF Comprehensive Cancer Center, San Francisco, U.S.A

VIDEOS

http://www.salk.edu/scientist/clodagh-oshea/videos/

O’Shea Lab @Salk

http://oshea.salk.edu/

AWARDS & HONORS

• 2016 Howard Hughes Medical Institute Faculty Scholar
• 2014 W. M. Keck Medical Research Program Award
• 2014 Rose Hills Fellow
• 2011Science/NSF International Science & Visualization Challenge, People’s Choice
• 2011 Anna Fuller Award for Cancer Research
• 2010, 2011, 2012 Kavli Frontiers Fellow, National Academy of Sciences
• 2009 Sontag Distinguished Scientist Award
• 2009 American Cancer Society Research Scholar Award
• 2008 ACGT Young Investigator Award for Cancer Gene Therapy
• 2008 Arnold and Mabel Beckman Young Investigator Award
• 2008 William Scandling Assistant Professor, Developmental Chair
• 2007 Emerald Foundation Schola

READ 

Clodagh C. O’Shea: ChromEMT: Visualizing 3D chromatin structure and compaction in interphase and mitotic cells | Science

http://science.sciencemag.org/content/357/6349/eaag0025

and 

https://www.readbyqxmd.com/keyword/93030

 

Clodagh C. O’Shea

In Press

Jul 27, 2017 – Salk scientists solve longstanding biological mystery of DNA organization

Sep 22, 2016 – Clodagh O’Shea named HHMI Faculty Scholar for groundbreaking work in designing synthetic viruses to destroy cancer

Oct 05, 2015 – Clodagh O’Shea awarded $3 million to unlock the “black box” of the nucleus

Aug 27, 2015 – The DNA damage response goes viral: a way in for new cancer treatments

Apr 12, 2013 – Salk Institute promotes three top scientists

Oct 16, 2012 – Cold viruses point the way to new cancer therapies

Aug 25, 2010 – Use the common cold virus to target and disrupt cancer cells?

Oct 22, 2009 – Salk scientist receives The Sontag Foundation’s Distinguished Scientist Award

May 15, 2008 – Salk scientist wins 2008 Beckman Young Investigator Award

Mar 24, 2008 – Salk scientist wins 2007 Young Investigator’s Award in Gene Therapy for Cancer

Share this:

• X
• LinkedIn
• Facebook
• Print
• Email

Like this:

Like Loading...

Read Full Post »

Cancer: It’s Geography Mapping by CDC

Posted in Cancer - General, Cancer Informatics on May 8, 2017| Leave a Comment »

Cancer: It’s Geography Mapping by CDC

Reporter: Aviva Lev-Ari, PhD, RN

 

THIS IS A SEMINAL STUDY BY CDC.GOV ON THE LONGITUDINAL, DEMOGRAPHICAL AND SPATIAL DIMENSIONS OF CANCER IN THE US by State. It is recommended that the eReader go directly to the original study by cdc.gov

Cancer Rates by U.S. State

https://www.cdc.gov/cancer/dcpc/data/state.htm

Click on all links on the left hand side of this webpage

In addition, review the following:

http://www.businessinsider.com/map-of-cancer-rates-in-the-united-states-2017-5/#the-page-also-provided-breakdowns-of-the-leading-new-cancer-cases-alongside-the-10-types-of-cancer-that-caused-the-highest-rate-of-cancer-deaths-in-2013-lung-and-bronchial-cancer-was-the-leading-cause-of-cancer-deaths-for-both-men-and-women-while-the-highest-rates-of-new-cancer-were-breast-for-women-and-prostate-for-men-7

The CDC mapped out where people with cancer live in the US — here’s what it found

• Lydia Ramsey

• May 7, 2017, 10:45 AM

 

This map shows the rate of new cancer cases by state per 100,000 people. This is specifically for 2013, which is the most recent year available. The darker the color, the higher the rate.

The page also provided breakdowns of the leading new cancer cases alongside the 10 types of cancer that caused the highest rate of cancer deaths in 2013. Lung and bronchial cancers were the leading causes of cancer deaths for both men and women, while the highest rates of new cancer were breast for women and prostate for men.

CDC.gov

SOURCES

CDC.gov

http://www.businessinsider.com/map-of-cancer-rates-in-the-united-states-2017-5/#the-page-also-provided-breakdowns-of-the-leading-new-cancer-cases-alongside-the-10-types-of-cancer-that-caused-the-highest-rate-of-cancer-deaths-in-2013-lung-and-bronchial-cancer-was-the-leading-cause-of-cancer-deaths-for-both-men-and-women-while-the-highest-rates-of-new-cancer-were-breast-for-women-and-prostate-for-men-7

Check out more of the data here.

SEE ALSO: This interactive map shows where people with hepatitis C live in the US — and it points to some distressing trends

DON’T MISS: A new drug to treat lung cancer just got approved

Share this:

• X
• LinkedIn
• Facebook
• Print
• Email

Like this:

Like Loading...

Read Full Post »

A New Computational Method illuminates the Heterogeneity and Evolutionary Histories of cells within a Tumor

Posted in Cancer Informatics, Cell Biology, Computational Biology/Systems and Bioinformatics, Gene Regulation and Evolution, Genome Biology, Next Generation Sequencing (NGS), Statistical Methods for Research Evaluation, tagged and phylogenies by simultaneously modeling single-nucleotide variants, clonal fractions, clonal genotypes, multi-state perfect phylogeny mixture deconvolution problem, phylogenetic trees, single-nucleotide variants, tumor genome sequencing data, variant allele frequency estimates on August 11, 2016| Leave a Comment »

A New Computational Method illuminates the Heterogeneity and Evolutionary Histories of cells within a Tumor

Reporter: Aviva Lev-Ari, PhD, RN

 

Start Quote

Numerous computational approaches aimed at inferring tumor phylogenies from single or multi-region bulk sequencing data have recently been proposed. Most of these methods utilize the variant allele fraction or cancer cell fraction for somatic single-nucleotide variants restricted to diploid regions to infer a two-state perfect phylogeny, assuming an infinite-site model such that each site can mutate only once and persists. In practice, convergent evolution could result in the acquisition of the same mutation more than once, thereby violating this assumption. Similarly, mutations could be lost due to loss of heterozygosity. Indeed, both single-nucleotide variants and copy number alterations arise during tumor evolution, and both the variant allele fraction and cancer cell fraction depend on the copy number state whose inference reciprocally relies on the relative ordering of these alterations such that joint analysis can help resolve their ancestral relationship (Figure 1). To tackle this outstanding problem, El-Kebir et al. (2016) formulated the multi-state perfect phylogeny mixture deconvolution problem to infer clonal genotypes, clonal fractions, and phylogenies by simultaneously modeling single-nucleotide variants and copy number alterations from multi-region sequencing of individual tumors. Based on this framework, they present SPRUCE (Somatic Phylogeny Reconstruction Using Combinatorial Enumeration), an algorithm designed for this task. This new approach uses the concept of a ‘‘character’’ to represent the status of a variant in the genome.

Commonly, binary characters have been used to represent single-nucleotide variants— that is, the variant is present or absent. In contrast, El-Kebir et al. use multi-state characters to represent copy number alterations, which may be present in zero, one, two, or more copies in the genome.

SPRUCE outperforms existing methods on simulated data, yielding higher recall rates under a variety of scenarios. Moreover, it is more robust to noise in variant allele frequency estimates, which is a significant feature of tumor genome sequencing data. Importantly, El-Kebir and colleagues demonstrate that there is often an ensemble of phylogenetic trees consistent with the underlying data. This uncertainty calls for caution in deriving definitive conclusions about the evolutionary process from a single solution.”

End Quote

 

From Original Paper

Inferring Tumor Phylogenies from Multi-region Sequencing

Zheng Hu1,2 and Christina Curtis1,2,*

1Departments of Medicine and Genetics

2Stanford Cancer Institute

Stanford University School of Medicine, Stanford, CA 94305, USA

*Correspondence: cncurtis@stanford.edu

http://dx.doi.org/10.1016/j.cels.2016.07.007

Share this:

• X
• LinkedIn
• Facebook
• Print
• Email

Like this:

Like Loading...

Read Full Post »

Topical Solution for Combination Oncology Drug Therapy: Patch that delivers Drug, Gene, and Light-based Therapy to Tumor

Posted in 3D Plotting Scaffolds, Advanced Drug Manufacturing Technology, Biopolymer Blend Open Porous, Cancer and Current Therapeutics, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Informatics, Cell Level, Computational Biology/Systems and Bioinformatics, Drug Delivery Platform Technology, Drug Development using MultiOrgan Chip, Drug Development/Formulation using 3D Printing, Genomic Expression, Loss of function gene, MicroEngineering Cell-Tissue & Systems, Nanotechnology for Drug Delivery, tagged a miR mimic (tumour suppressor miRNA), antagomiR (oncomiR inhibitor), anticancer platform to locally modulate the expression of endogenous miRs in cancer, Conjugation of RNA triple helices to dendrimers, natural tissue amines in the tumour, post-gel implantation, RNA-triple-helix adhesive scaffold upon interaction with dextran aldehyde, RNA-triple-helix hydrogels, self-assembled dual-colour RNA-triple-helix structure, self-assembled RNA-triple-helix conjugates remain functional in vitro and in vivo, therapeutic potential of miRNA (miR) in cancer, triplex nanoparticles on July 27, 2016| Leave a Comment »

Topical Solution for Combination Oncology Drug Therapy: Patch that delivers Drug, Gene, and Light-based Therapy to Tumor

Reporter: Aviva Lev-Ari, PhD, RN

 

NATURE MATERIALS | ARTICLE

Self-assembled RNA-triple-helix hydrogel scaffold for microRNA modulation in the tumour microenvironment

• João Conde,
• Nuria Oliva,
• Mariana Atilano,
• Hyun Seok Song
• & Natalie Artzi

• Affiliations
• Contributions
• Corresponding authors

Affiliations

1. Massachusetts Institute of Technology, Institute for Medical Engineering and Science, Harvard-MIT Division for Health Sciences and Technology, Cambridge, Massachusetts 02139, USA
   • João Conde,
   • Nuria Oliva,
   • Mariana Atilano,
   • Hyun Seok Song &
   • Natalie Artzi
2. School of Engineering and Materials Science, Queen Mary University of London, London E1 4NS, UK
   • João Conde
3. Grup d’Enginyeria de Materials, Institut Químic de Sarrià-Universitat Ramon Llull, Barcelona 08017, Spain
   • Mariana Atilano
4. Division of Bioconvergence Analysis, Korea Basic Science Institute, Yuseong, Daejeon 169-148, Republic of Korea
   • Hyun Seok Song
5. Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
   • Natalie Artzi
6. Department of Medicine, Biomedical Engineering Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA
   • Natalie Artzi

Contributions

J.C. and N.A. conceived the project and designed the experiments. J.C., N.O., H.S.S. and M.A. performed the experiments, collected and analysed the data. J.C. and N.A. co-wrote the manuscript. All authors discussed the results and reviewed the manuscript.

Nature Materials

15,

353–363

(2016)

doi:10.1038/nmat4497

Received

22 April 2015

Accepted

26 October 2015

Published online

07 December 2015

• Abstract•
• References•
• Author information•
• Supplementary information

The therapeutic potential of miRNA (miR) in cancer is limited by the lack of efficient delivery vehicles. Here, we show that a self-assembled dual-colour RNA-triple-helix structure comprising two miRNAs—a miR mimic (tumour suppressor miRNA) and an antagomiR (oncomiR inhibitor)—provides outstanding capability to synergistically abrogate tumours. Conjugation of RNA triple helices to dendrimers allows the formation of stable triplex nanoparticles, which form an RNA-triple-helix adhesive scaffold upon interaction with dextran aldehyde, the latter able to chemically interact and adhere to natural tissue amines in the tumour. We also show that the self-assembled RNA-triple-helix conjugates remain functional in vitro and in vivo, and that they lead to nearly 90% levels of tumour shrinkage two weeks post-gel implantation in a triple-negative breast cancer mouse model. Our findings suggest that the RNA-triple-helix hydrogels can be used as an efficient anticancer platform to locally modulate the expression of endogenous miRs in cancer.

SOURCE

http://www.nature.com/nmat/journal/v15/n3/abs/nmat4497.html#author-information

 

 

Patch that delivers drug, gene, and light-based therapy to tumor sites shows promising results

In mice, device destroyed colorectal tumors and prevented remission after surgery.

Helen Knight | MIT News Office
July 25, 2016

Approximately one in 20 people will develop colorectal cancer in their lifetime, making it the third-most prevalent form of the disease in the U.S. In Europe, it is the second-most common form of cancer.

The most widely used first line of treatment is surgery, but this can result in incomplete removal of the tumor. Cancer cells can be left behind, potentially leading to recurrence and increased risk of metastasis. Indeed, while many patients remain cancer-free for months or even years after surgery, tumors are known to recur in up to 50 percent of cases.

Conventional therapies used to prevent tumors recurring after surgery do not sufficiently differentiate between healthy and cancerous cells, leading to serious side effects.

In a paper published today in the journal Nature Materials, researchers at MIT describe an adhesive patch that can stick to the tumor site, either before or after surgery, to deliver a triple-combination of drug, gene, and photo (light-based) therapy.

Releasing this triple combination therapy locally, at the tumor site, may increase the efficacy of the treatment, according to Natalie Artzi, a principal research scientist at MIT’s Institute for Medical Engineering and Science (IMES) and an assistant professor of medicine at Brigham and Women’s Hospital, who led the research.

The general approach to cancer treatment today is the use of systemic, or whole-body, therapies such as chemotherapy drugs. But the lack of specificity of anticancer drugs means they produce undesired side effects when systemically administered.

What’s more, only a small portion of the drug reaches the tumor site itself, meaning the primary tumor is not treated as effectively as it should be.

Indeed, recent research in mice has found that only 0.7 percent of nanoparticles administered systemically actually found their way to the target tumor.

“This means that we are treating both the source of the cancer — the tumor — and the metastases resulting from that source, in a suboptimal manner,” Artzi says. “That is what prompted us to think a little bit differently, to look at how we can leverage advancements in materials science, and in particular nanotechnology, to treat the primary tumor in a local and sustained manner.”

The researchers have developed a triple-therapy hydrogel patch, which can be used to treat tumors locally. This is particularly effective as it can treat not only the tumor itself but any cells left at the site after surgery, preventing the cancer from recurring or metastasizing in the future.

Firstly, the patch contains gold nanorods, which heat up when near-infrared radiation is applied to the local area. This is used to thermally ablate, or destroy, the tumor.

These nanorods are also equipped with a chemotherapy drug, which is released when they are heated, to target the tumor and its surrounding cells.

Finally, gold nanospheres that do not heat up in response to the near-infrared radiation are used to deliver RNA, or gene therapy to the site, in order to silence an important oncogene in colorectal cancer. Oncogenes are genes that can cause healthy cells to transform into tumor cells.

The researchers envision that a clinician could remove the tumor, and then apply the patch to the inner surface of the colon, to ensure that no cells that are likely to cause cancer recurrence remain at the site. As the patch degrades, it will gradually release the various therapies.

The patch can also serve as a neoadjuvant, a therapy designed to shrink tumors prior to their resection, Artzi says.

When the researchers tested the treatment in mice, they found that in 40 percent of cases where the patch was not applied after tumor removal, the cancer returned.

But when the patch was applied after surgery, the treatment resulted in complete remission.

Indeed, even when the tumor was not removed, the triple-combination therapy alone was enough to destroy it.

The technology is an extraordinary and unprecedented synergy of three concurrent modalities of treatment, according to Mauro Ferrari, president and CEO of the Houston Methodist Research Institute, who was not involved in the research.

“What is particularly intriguing is that by delivering the treatment locally, multimodal therapy may be better than systemic therapy, at least in certain clinical situations,” Ferrari says.

Unlike existing colorectal cancer surgery, this treatment can also be applied in a minimally invasive manner. In the next phase of their work, the researchers hope to move to experiments in larger models, in order to use colonoscopy equipment not only for cancer diagnosis but also to inject the patch to the site of a tumor, when detected.

“This administration modality would enable, at least in early-stage cancer patients, the avoidance of open field surgery and colon resection,” Artzi says. “Local application of the triple therapy could thus improve patients’ quality of life and therapeutic outcome.”

Artzi is joined on the paper by João Conde, Nuria Oliva, and Yi Zhang, of IMES. Conde is also at Queen Mary University in London.

SOURCE

http://news.mit.edu/2016/patch-delivers-drug-gene-light-based-therapy-tumor-0725

Other related articles published in thie Open Access Online Scientific Journal include the following:

The Development of siRNA-Based Therapies for Cancer

Author: Ziv Raviv, PhD

https://pharmaceuticalintelligence.com/2013/05/09/the-development-of-sirna-based-therapies-for-cancer/

 

Targeted Liposome Based Delivery System to Present HLA Class I Antigens to Tumor Cells: Two papers

Reporter: Stephen J. Williams, Ph.D.

https://pharmaceuticalintelligence.com/2016/07/20/targeted-liposome-based-delivery-system-to-present-hla-class-i-antigens-to-tumor-cells-two-papers/

 

Blast Crisis in Myeloid Leukemia and the Activation of a microRNA-editing Enzyme called ADAR1

Curator: Larry H. Bernstein, MD, FCAP

https://pharmaceuticalintelligence.com/2016/06/10/blast-crisis-in-myeloid-leukemia-and-the-activation-of-a-microrna-editing-enzyme-called-adar1/

 

First challenge to make use of the new NCI Cloud Pilots – Somatic Mutation Challenge – RNA: Best algorithms for detecting all of the abnormal RNA molecules in a cancer cell

Reporter: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2016/07/17/first-challenge-to-make-use-of-the-new-nci-cloud-pilots-somatic-mutation-challenge-rna-best-algorithms-for-detecting-all-of-the-abnormal-rna-molecules-in-a-cancer-cell/

 

miRNA Therapeutic Promise

Curator: Larry H. Bernstein, MD, FCAP

https://pharmaceuticalintelligence.com/2016/05/01/mirna-therapeutic-promise/

Share this:

• X
• LinkedIn
• Facebook
• Print
• Email

Like this:

Like Loading...

Read Full Post »

Deep Learning for In-silico Drug Discovery and Drug Repurposing: Artificial Intelligence to search for molecules boosting response rates in Cancer Immunotherapy: Insilico Medicine @John Hopkins University

Posted in Cancer and Current Therapeutics, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Informatics, Computational Biology/Systems and Bioinformatics, Gene Regulation and Evolution, Genetics & Pharmaceutical, Genome Biology, Genomic Testing: Methodology for Diagnosis, Immuno-Oncology & Genomics, tagged Cancer immunotherapy, CTLA4, immune dysfunction, immune inhibitory checkpoints, Immunoresistance, immunotherapeutics, method for screening, modulating the immune synapse, PD-1, PD-L1, scoring and personalizing small molecules, signaling pathways, transcriptome-based pathway perturbation analysis on July 17, 2016| Leave a Comment »

Deep Learning for In-silico Drug Discovery and Drug Repurposing: Artificial Intelligence to search for molecules boosting response rates in Cancer Immunotherapy: Insilico Medicine @John Hopkins University

Reporter: Aviva Lev-Ari, PhD, RN

Insilico Medicine –>>> transcriptome-based pathway perturbation analysis

Insilico Medicine, Inc. is a bioinformatics company located at the Emerging Technology Centers at the Johns Hopkins University Eastern campus in Baltimore with R&D resources in Belgium, Russia, and Poland hiring talent through hackathons and competitions. It utilizes advances in genomics, big data analysis and deep learning for in silico drug discovery and drug repurposing for aging and age-related diseases. The company pursues internal drug discovery programs in cancer, Parkinson’s, Alzheimer’s, sarcopenia and geroprotector discovery. Through its Pharmaceutical Artificial Intelligence division the company provides advanced machine learning services to biotechnology, pharmaceutical, and skin care companies.

WATCH VIDEO

Brief company video: https://www.youtube.com/watch?v=l62jlwgL3v8.

Insilico Medicine develops a new approach to concomitant cancer immunotherapy

Artificial intelligence to search for molecules boosting response rates in cancer immunotherapy

INSILICO MEDICINE, INC.

Summary:

• Some of the most promising drugs for cancer therapy called checkpoint inhibitors often result in complete remissions, however, a majority of patients fail cancer immunotherapy with antibodies targeting immune checkpoints, such as CTLA-4 or programmed death-1 (PD-1).
• Insilico Medicine developed a set of pathway-based signatures of response to popular checkpoint inhibitors
• Using these markers and a deep learned drug scoring engine Insilico Medicine identified 12 leads that may help increase response to cancer immunotherapy and is seeking industry partnerships to test these leads

Thursday, July 14, 2016, Baltimore, MD — Recent advances in cancer immunotherapy demonstrated complete remission in multiple tumor types including melanoma and lung cancers. Almost every major pharmaceutical company operating in oncology space started multiple programs in immuno-oncology with thousands of clinical trials underway. Immuno-oncology is now a very broad field ranging from treatment of a patient with an engineered antibody to genome editing of patient’s immune cells. Genetic mutations accruing from the inherent genomic instability of tumor cells present neo-antigens that are recognized by the immune system. Cross-presentation of tumor antigens at the immune synapse between antigen-presenting dendritic cells and T lymphocytes can potentially activate an adaptive antitumor immune response, however, tumors continuously evolve to counteract and ultimately defeat such immune surveillance by co-opting and amplifying mechanisms of immune tolerance to evade elimination by the immune system. This prerequisite for tumor progression is enabled by the ability of cancers to produce negative regulators of immune response.

Cancer immunotherapy is currently focused on targeting immune inhibitory checkpoints that control T cell activation, such as CTLA-4 and PD-1. Monoclonal antibodies that block these immune checkpoints (commonly referred to as immune checkpoint inhibitors) can unleash antitumor immunity and produce durable clinical responses in a subset of patients with advanced cancers, such as melanoma and non-small-cell lung cancer. However, these immunotherapeutics are currently constrained by their inability to induce clinical responses in the vast majority of patients and the frequent occurrence of immune-related adverse events. A key limitation of checkpoint inhibitors is that they narrowly focus on modulating the immune synapse but do not address other key molecular determinants that may also be responsible for immune dysfunction.

Immunoresistance often ensues as a result of the concomitant activation of multiple, often overlapping signaling pathways. Therefore, inhibition of multiple, cross-talking pathways involved in survival control with combination therapy is usually more effective in decreasing the likelihood that cancer cells will develop therapeutic resistance than with single agent therapy. While research efforts are now focused on identifying new inhibitory mechanisms that could be targeted to achieve responses in patients with refractory cancers and provide durable and adaptable cancer control, there are outstanding challenges in determining what combination of immunotherapies and conventional therapies will prove beneficial against each tumor type.

“Immunotherapy is the most promising area in oncology resulting in cures, but we need to identify effective combinations of both established methods and new drugs developed specifically to boost response rates. At Insilico Medicine we developed a new method for screening, scoring and personalizing small molecules that may boost response rates to PD-1, PD-L1, CTLA4 and other checkpoint inhibitors. We can identify effective combinations of both established methods and new drugs developed specifically to boost response rates to immunotherapy”, said Artem Artemov, director of computational drug repurposing at Insilico Medicine.

Insilico Medicine, Inc. is one of the leaders in transcriptome-based pathway perturbation analysis. It is also a pioneer in applying cutting edge artificial intelligence techniques to biological and medical data analysis, particularly focused on in silico screening for new compounds against cancer and known drugs which can be repurposed against different cancers. One of the major programs currently ongoing at Insilico Medicine is evaluation of the transcriptional responses to multiple checkpoint inhibitors and analyzing the pathway-level differences in patients who respond and fail to respond to clinically approved checkpoint inhibitors. This novel computational approach is aimed at identifying new drug candidates which can be used in combination with immunotherapy to unleash durable antitumor effect against several types of cancers.

Recently, scientists at Insilico Medicine performed a large in silico screening of compounds that can be administered in combination with anti-PD1 immunotherapy to increase response rates. The researchers collected transcriptomic data from tumors of patients who either responded or failed to respond to standard immunotherapy, using both publically available and internally generated data. Next, they used differential pathway activation analysis and deep learning based approaches to identify transcriptomic signatures predicting the success of immunotherapy in a particular tumor type.

Finally, they analyzed drug-induced transcriptomic effects to screen for the drugs that can robustly drive transcriptomes of tumor cells from non-responsive state to the state responsive to immunotherapy. In other words, researchers developed approach that can predict whether drug of interest would induce a transcriptional signature that characterizes those patients that respond to cancer immunotherapy in non-respondents. This method allows personalizing these drugs to individual patients and specific checkpoint inhibitors. Among the top-scoring drugs, they found several compounds known to increase response rates in combination with cancer immunotherapy. One of the top-scoring compounds included a naturally-occurring substance marketed as a natural product.

The current list of top-scoring leads that may increase response rates to checkpoint inhibitors included 12 small molecules identified using signaling pathway perturbation analysis and annotated using a deeply learned drug scoring system. Insilico Medicine is currently open for partnerships which will allow further testing and validation of the discovered compounds ex vivo on cell cultures established from tumors which respond and failed to respond to immunotherapy, as well as in mice with patient-derived tumor xenografts. This approach may greatly reduce the costs of preclinical trials and significantly shorten the timeframe from a drug prediction to validation and marketing. The compounds, after preclinical and clinical validation, may improve cancer care and dramatically increase the lifespan of cancer patients.

A panel of leads for concomitant immunotherapy is part of a large number of leads developed using DeepPharma™, artificially-intelligent drug discovery engine, which includes a large number of molecules predicted to be effective antineoplastic agents, metabolic regulators, CVD and CNS lead, senolytics and ED drugs. Recently Insilico Medicine published several seminal papers demonstrating proof of concept of utilizing deep learning techniques to predict pharmacological properties of small molecules using transcriptional response data utilizing deep neural networks for biomarker development. “Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data,” a paper published in Molecular Pharmaceuticals received the American Chemical Society Editors’ Choice Award. Another recent collaboration with Biotime, Inc resulted in a launch of Embryonic.AI, deep learned predictor of differentiation state of the sample.

###

 

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.

SOURCE

http://www.eurekalert.org/pub_releases/2016-07/imi-imd071416.php?utm_content=buffer36d53&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer

Share this:

• X
• LinkedIn
• Facebook
• Print
• Email

Like this:

Like Loading...

Read Full Post »

« Newer Posts - Older Posts »

• Follow Blog via Email

  Enter your email address to follow this blog and receive notifications of new posts by email.

  Email Address

  Follow

  Join 2,056 other subscribers

• Recent Posts

  • Grok thinks like PhDs – Hybrid Model for Autonomous Update of Doctoral Dissertations with Original PhD Student Author editing and acceptance of Grok’s updated output. 3rd Joint article, a pilot study for Validation of an Autonomous Journal Articles Updating System (AJAUS) tested on Autonomous Update of Aviva Lev-Ari, PhD, RN Doctoral Thesis, UC, Berkeley, 1983. January 31, 2026
  • 2026 World Economic Forum, 1/19 – 1/23/2026, Davos, Switzerland, LPBI Group’s KOLs interpretation of AI in Health Videos January 24, 2026
  • Evolving LPBI Group’s Portfolio of Intellectual Properties (IP): From 2021 Vision to 2026 Reality January 12, 2026
  • Aviva Lev-Ari, PhD, RN – Biography ->> Grokepedia Entry January 11, 2026
  • List of Articles included in the Article SELECTION from Collection of Aviva Lev-Ari, PhD, RN Scientific Articles on PULSE on LinkedIn.com for Training Small Language Models (SLMs) in Domain-aware Content of Medical, Pharmaceutical, Life Sciences and Healthcare by 15 Subjects Matter January 10, 2026
  • Article SELECTION from Collection of Aviva Lev-Ari, PhD, RN Scientific Articles on PULSE on LinkedIn.com for Training Small Language Models (SLMs) in Domain-aware Content of Medical, Pharmaceutical, Life Sciences and Healthcare by 15 Subjects Matter January 10, 2026
  • Collection of Aviva Lev-Ari, PhD, RN Scientific Articles on PULSE on LinkedIn.com January 10, 2026
  • The youngest leader in AI in Health: Tanishq Mathew Abraham, Ph.D. (@iScienceLuvr) January 8, 2026
  • 2026 Grok Multimodal Causal Reasoning on Proprietary Cariovascular Corpus: From 2021 Wolfram NLP Baseline to Thousands of Novel Relationships – A Second Head-to-Head Validation of LPBI’s Domain-Aware Training Advantage January 6, 2026
  • Workflow for Dynamic Linkage and Transition between two Authoring Systems: LPBI Group’s WordPress.com Multi-Authors Authoring System and Microsoft PowerPoint product for Slide show presentation – Part 10.1 in Composition of Methods January 6, 2026

• Archives

  Archives Select Month January 2026  (10) December 2025  (8) November 2025  (8) October 2025  (12) September 2025  (2) July 2025  (4) June 2025  (8) May 2025  (4) April 2025  (2) March 2025  (1) February 2025  (2) January 2025  (3) December 2024  (1) November 2024  (5) October 2024  (7) September 2024  (7) August 2024  (1) June 2024  (1) May 2024  (2) April 2024  (2) January 2024  (1) November 2023  (1) October 2023  (3) September 2023  (3) August 2023  (2) July 2023  (2) June 2023  (7) May 2023  (4) April 2023  (2) March 2023  (5) February 2023  (2) January 2023  (3) December 2022  (2) October 2022  (6) September 2022  (2) August 2022  (1) July 2022  (3) June 2022  (3) May 2022  (8) April 2022  (10) March 2022  (7) February 2022  (7) January 2022  (3) December 2021  (3) November 2021  (4) October 2021  (11) September 2021  (5) August 2021  (8) July 2021  (21) June 2021  (8) May 2021  (10) April 2021  (8) March 2021  (15) February 2021  (17) January 2021  (20) December 2020  (10) November 2020  (12) October 2020  (26) September 2020  (17) August 2020  (22) July 2020  (27) June 2020  (33) May 2020  (26) April 2020  (42) March 2020  (22) February 2020  (11) January 2020  (7) December 2019  (20) November 2019  (13) October 2019  (11) September 2019  (3) August 2019  (8) July 2019  (25) June 2019  (47) May 2019  (40) April 2019  (27) March 2019  (29) February 2019  (17) January 2019  (50) December 2018  (14) November 2018  (17) October 2018  (18) September 2018  (17) August 2018  (8) July 2018  (20) June 2018  (22) May 2018  (17) April 2018  (12) March 2018  (20) February 2018  (26) January 2018  (16) December 2017  (6) November 2017  (20) October 2017  (13) September 2017  (16) August 2017  (16) July 2017  (19) June 2017  (20) May 2017  (32) April 2017  (21) March 2017  (10) February 2017  (24) January 2017  (21) December 2016  (43) November 2016  (8) October 2016  (40) September 2016  (67) August 2016  (59) July 2016  (75) June 2016  (37) May 2016  (95) April 2016  (152) March 2016  (175) February 2016  (196) January 2016  (139) December 2015  (90) November 2015  (287) October 2015  (237) September 2015  (115) August 2015  (96) July 2015  (63) June 2015  (44) May 2015  (53) April 2015  (76) March 2015  (95) February 2015  (83) January 2015  (75) December 2014  (75) November 2014  (88) October 2014  (135) September 2014  (117) August 2014  (88) July 2014  (88) June 2014  (109) May 2014  (60) April 2014  (85) March 2014  (58) February 2014  (72) January 2014  (107) December 2013  (104) November 2013  (136) October 2013  (62) September 2013  (32) August 2013  (46) July 2013  (74) June 2013  (110) May 2013  (112) April 2013  (86) March 2013  (92) February 2013  (63) January 2013  (63) December 2012  (46) November 2012  (71) October 2012  (84) September 2012  (82) August 2012  (122) July 2012  (59) June 2012  (34) May 2012  (46) April 2012  (2)

• Categories

  Categories Select Category 3D Printing for Medical Application  (239)    3D Plotting Scaffolds  (44)    BioInks  (34)       Biopolymer Blend Open Porous  (18)       Dental Applications  (10)    BioPrinting in Regenerative Medicine  (77)       Cell Level  (16)       MicroEngineering Cell-Tissue & Systems  (31)       Tissue Engineering  (37)    Cardiovascular and Vascular Systems  (30)       Artificial Vascular Structures  (9)       Cardiovascular Tissue  (8)    Drug Development using MultiOrgan Chip  (11)    Drug Development/Formulation using 3D Printing  (10)    MEMS  (16)       Bio-MEMS  (12)    Organ-on-a-Chip  (11)    Programmable Sensors (Carbon Nano Tubes)  (5) 3rd Party IP: Drug DIscovery  (1) 4D Printing and Meta Materials  (10) Academic Publishing  (223)    Key Opinion Leaders in eScientific Publishing – Interviews with  (8) Advanced Drug Manufacturing Technology  (96)    Antimalarial Preparation  (8)    Autologous Cell Therapy  (14)    Automated Cell Processing  (13) Allergy and Infectious Diseases  (12) Alzheimer’s Disease  (163)    Etiology  (77)    Medical Device Therapies for Altzheimer’s Disease  (15)    Pharmacotherapy and Cell Activity  (51) Anticancer Resistance  (31) Art Exhibits on the Human Condition  (1) Art Inspires Science  (4) Article Type  (2)    Authored  (1)    Curated  (2)    Scientific report  (1) Artificial Heart  (2) Artificial Intelligence – General  (232)    An executive’s guide to AI  (10)    Artificial Intelligence – Breakthroughs in Theories and Technologies  (115)    Artificial Intelligence Applications in Health Care  (125)       Artificial Intelligence in CANCER  (39)       Artificial Intelligence in Health Care – Tools & Innovations  (74)    Artificial Intelligence in Medicine – Application for Diagnosis  (69)       Artificial intelligence applications for cardiology  (31)          AI-assisted Cardiac MRI  (10)       Artificial Intelligence in Psychiatry  (6)       Deep Learning in Pathology  (18)    Artificial Intelligence in Medicine – Applications in Therapeutics  (64)    ChatGPT, GPT-4  (7)       ChatGPT at LPBI Group  (3)       ChatGPT in Academic Education  (3)    Machine Learning  (71)       Deep Learning  (25)       Natural Language Processing (NLP)  (45)    Machine learning in predicting type 2 diabetes  (5) Auditory and vision  (13) Autism Spectrum Disorders  (10) Autoimmune Inflammatory DIseases  (24)    Crohn’s disease  (5)    Tolerance-inducing Autoimmune Disease Therapeutics  (6)    Ulcerative Colitis  (3) Autophagosome  (4) Bacterial Resistance  (25) Behavior  (26) Behavioral Genetics  (21) Big Data  (88)    Intelligent Information Systems  (51) Bio Instrumentation in Experimental Life Sciences Research  (368)    Analytical Instruments Industry  (5)    Microfuidics  (8) Bio-Ethics  (15) BioBanking  (36) Biodegradable Drug-eluting Material  (8) Bioengineering & reverse engineering design  (43) BioIT: BioInformatics  (147) BioIT: BioInformatics, NGS, Clinical & Translational, Pharmaceutical R&D Informatics, Clinical Genomics, Cancer Informatics  (135)    Advanced Computing Platform  (32)       Blockchain Transactions System  (6)          Platform for Content Monetization embedded Content Promotion  (1)    Pancreatic adenocarcinoma classifier  (4)    Simulation Modeling in NGS  (5) Biological Engineering  (43) Biological Networks  (193) Biological Networks, Gene Regulation and Evolution  (479)    Virology  (10) Biomarkers & Medical Diagnostics  (571)    VOC – Volatile Organic Compounds as BioMarkers  (2) Biomedical Measurement Science  (173) BioSimilars  (112) BioTechnology – Venture Creation  (131)    Foundations for supporting Science and Education  (14)    Philanthropy to Academic Institution  (3) BioTechnology – Venture Creation, Venture Capital  (108)    Seeking Talent  (3) BiVAD  (1) Blindness  (6) Bone Disease and Musculoskeletal Disease  (82) Brain Basis of Emotion  (5) Business Career Consideration  (1) Ca2+ triggered activation  (61) Calcium  (21) Calcium Signaling  (71) Calmodulin Kinase and Contraction  (36) Cancer – General  (186) Cancer and Current Therapeutics  (411)    interventional oncology  (49)       Breast Cancer – impalpable breast lesions  (20)       Prostate Cancer: Monitoring vs Treatment  (9) CANCER BIOLOGY & Innovations in Cancer Therapy  (1,122)    Anaerobic Glycolysis  (51)    Cachexia  (18)    Cancer Genomics  (84)       Circulating Tumor Cells (CTC)  (27)          Liquid Biopsy Chip detects an array of metastatic cancer cell markers in blood  (17)             mRNA  (6)          MagSifter chip  (1)       KRAS Mutation  (9)       Li-fraumeni syndrome.  (3)       TP53 – Germline mutations  (8)    cancer metabolism  (28)    Funding Opportunities for Cancer Research  (12)    Genomic Expression  (150)    Glioblastoma  (7)    Hexokinase  (14)    Loss of function gene  (18)    Metabolic Immuno-Oncology  (21)    Metastasis Process  (15)    Methylation  (33)    Microbiome and Responses to Cancer Therapy  (10)    Monoclonal Immunotherapy  (29)    mtDNA  (13)    Oxidative phosphorylation  (56)    Pancreatic cancer  (10)    Pyruvate Kinase  (27)    The NCI Formulary  (1)    tumor microenvironment  (16)    Warburg effect  (50) Cancer Informatics  (104) Cancer Prevention: Research & Programs  (131) Cancer Screening  (108) Cancer Vaccines: Targeting Cancer Genes for Immunotherapy  (30)    Engineering Enhanced Cancer Vaccines  (3) cancer-general  (6) Cardiac and Cardiovascular Surgical Procedures  (328)    Aortic Valve: TAVR, TAVI vs Open Heart Surgery  (91)       Prosthesis-Patient Mismatch (PPM) in TAVI vs SAVR  (2)       TAVI vs Open Heart Surgery  (6)       Transcatheter Aortic Valve Replacement via the Transcarotid Access  (3)       Transcaval TAVR Procedure  (3)       Valve-in-Valve Procedure  (5)    Atrial Fibrilation (a-Fib), Cardiac Pacing and Arrhythmias  (18)    BackBeat’s Cardiac Neuromodulation Therapy (CNT) bioelectronic therapy  (1)    CABG  (47)    Cancer Surgery of the Heart  (10)    Cardiovascular Fluid Management: algorithms  (1)    Heart Transplant  (16)    Heart-Lung Transplant  (11)    Implantation  (3)    Left Main Coronary Artery Disease (LMCAD)  (3)    Mechanical Assist Devices: LVAD, RVAD, BiVAD, Artificial Heart  (22)    Mitral Valve: Repair and Replacement  (64)       TMVR – Transcatheter Mitral Valve Repair  (5)    PCI  (108)       Bioresorbable Vascular Scaffold (BVS)  (4)       Invasive FFR for PCI  (2)       Multivessel PCI FFR Guidance  (1)       Robotic-assisted percutaneous coronary intervention  (2)       Stent Retriever in endovascular thrombectomy  (3)    Peripheral Arterial Disease & Peripheral Vascular Surgery  (65)       Abdominal Aorta  (20)       Carotid Artery  (15)       Limb ischemia  (4)       Thoracic Aorta  (16)    Pulmonary Valve Replacement and Repair  (3)    Renal Denervation  (20)    Replacement  (1)    Robotically assisted Cardiothoracic Surgery  (2)    Tricuspid Valve Repair  (7)    Vena Caval Filters: Device for Prevention of Pulmonary Embolism and Thrombosis  (2) Cardiovascular Pharmacogenomics  (171) Cargo  (3) Cell Biology  (323) Cell Biology, Signaling & Cell Circuits  (672)    Apoptosis  (17)    Autophagy-Modulating Proteins  (6)    “Antibody–enzyme conjugates”  (6)    Cell Processing System in Cell Therapy Process Development  (27)    Endoplasmic reticulum  (3)    Enzymatic mechanism underlying the synthesis of adenosine triphosphate (ATP)  (3)    Ubiquitin  (11) Cerebrovascular and Neurodegenerative Diseases  (123)    Stroke  (9) Chemical Biology and its relations to Metabolic Disease  (464)    #BIGAxisSummit  (1)    Gut Microbiome and Obesity  (8) Chemical Genetics  (350) Child and Adolescent Psychiatry  (13) Childhood cancer  (17) Childhood malnutrition  (3) children  (3) Circulating Progenitor Cells  (27)    Bone marrow derived cells  (17)    Endothelial cells  (7)    Umbilical cord cells  (6) Clinical & Translational  (238) Clinical Diagnostics  (220)    Mass automation of plasma proteins  (13) Clinical Genomics  (144) Coagulation Therapy and Internal Bleeding  (83) Cognition  (47) Commercialization  (20) Components and IRB related issues  (4) Computational Biology/Systems and Bioinformatics  (470)    Computational Histopathology  (3)    Meta-analysis of transcriptome data  (10) Conference Coverage with Social Media  (494)    MassBio  (3) coronavirus  (18) COVID-19  (20) CRISPR/Cas9 & Gene Editing  (192)    CRISPR alternative for editing genes without cutting  (14)       CAST – Alternative to CRISPR/Cas9  (3)       Transposon-encoded CRISPR–Cas systems direct RNA-guided DNA integration  (4)    CRISPR applied to Human Germ Line  (13)       Gene Editing Impact on Longevity  (6) CT  (20) Cytokines  (20) Cytoskeleton  (85) Developmental biology  (107) Diabetes Mellitus  (146)    Artificial Pancreas for Type 2 Diabetes  (4)    Artificial Pancreas for Type1 Diabetes  (8)    Gestational diabetes  (5) Diagnostic Immunology  (61) Diagnostics and Lab Tests  (128)    Liquid Biopsy: Circulating Tumor Cells in Urine and Blood  (9) Digital HealthCare – biotech & internet joint ventures  (47) Disease Biology  (334) Disease Biology, Small Molecules in Development of Therapeutic Drugs  (487) DNA repair  (73)    Apoptosis  (13)    Autophagy  (13)    Cell death pathways  (19)    Proteolysis  (8)    Proteosome  (8) Drug Delivery Platform Technology  (157)    Drug Carrier Design  (21)       Medication Remote Compliance Monitoring  (3)    Exosomes: Natural Carriers for siRNA Delivery  (9) Drug Toxicity  (74) Ecosystems & Industrial Concentration in the Medical Device Sector  (172)    Cardiac & Vascular Repair Tools Subsegment  (128)    Exec Compensation in the Cardiac & Vascular Repair Tools Subsegment  (14)    Massachusetts Niche Suppliers and National Leaders  (20) Electronic Health Record  (10) Embryology  (24) Empathy  (6) Endocrine Diseases  (60) Enzyme Induction  (46)    ion-transporting enzyme  (2)    K + -ATPase.  (1)    Na +  (2) Epigenetics and Environmental Factors  (35) Ethics and Leadership  (10) Executive Compensation – Big Pharma  (3) Fat soluble vitamins  (4) FDA  (71) FDA Regulatory Affairs  (358)    FDA, CE Mark & Global Regulatory Affairs: process management and strategic planning – GCP, GLP, ISO 14155  (52)    ISO 10993 for Product Registration: FDA & CE Mark for Development of Medical Devices and Diagnostics  (30) Fetal Ultrasound  (2) Fiction and medicine  (5) Frontiers in Cardiology and Cardiovascular Disorders  (929)    Acute Myocardial Infarction  (63)       Cardiogenic Shock  (5)    Anemia in CVD Patients  (6)    Cardio-Oncology  (4)    Cardiomyopathy  (57)    Cardiovascular Research  (187)       Myocardial metabolism, Myocardial ischemia, myocardial perfusion, Myocardial adenine nucleotide metabolism  (64)       Pre-Clinical Animal Model Development  (23)    Chronic Thromboembolic Pulmonary Hypertension (CTEPH) and Pulmonary Arterial Hypertension (PAH)  (20)    Cost of Inpatient Stay for Cardiovascular Diagnosis for Admission  (1)    Electrophysiology  (111)       Ablation Procedure vs Drug Therapy  (2)       Arrhythmia Detection with Machine Learning Algorithms  (7)       Cardiotoxic Risks of Immune Checkpoint Inhibitors  (1)       Genomic Analysis of EKG Electrophysiology Genomics  (3)       implantable cardioverter defibrillator (ICD) and External Defibrillation  (1)       implantable pacemaker  (2)       Rare heart rhythm disorders and Long QT syndrome (LQTS)  (7)    Epigenetics and Cardiovascular Risks  (57)    Heart Failure (HF)  (51)       Acute coronary syndrome  (7)       congestive heart failure  (19)       Hypertensive Disorders of Pregnancy  (1)    Medical Devices R&D and Inventions  (212)       Assist Devices: LV  (3)       RV  (1)       Stents & Tools  (90)       Valves & Tools  (67)    Origins of Cardiovascular Disease  (422)       Atherogenic Processes & Pathology  (180)       Congenital Heart Disease  (34)          Genetic Mutations in Congenital Heart Disease  (4)       inflammation independent of lipid levels  (13)       Systemic Inflammatory Diseases as CVD Risk  (12)    Pharmacotherapy of Cardiovascular Disease  (356)       HTN  (176)       HTN in Youth  (8)       Resident-cell-based  (43)       Subarachnoid Hemorrhage (SAH)  (1)       Transthyretin amyloid cardiomyopathy (ATTR-CM)  (1)    Spontaneous Coronary Artery Dissection (SCAD)  (6)    Stroke  (15)       endovascular thrombectomy  (6)    Vascular Diseases  (21)       mesenteric ischemia  (3) Future Pandemics Inform-graphics  (1) Gastroenterology  (38) Gene Regulation  (232) Gene Regulation and Evolution  (137) Genetics & Innovations in Treatment  (176) Genetics & Pharmaceutical  (203) Genome Biology  (967)    Exosomes  (25)    Gene Therapy & Gene Editing Development  (42)    mRNA Therapeutics  (20)    Mutagenesis  (27)    Single Cell Genomics  (25)    Single-cell sequencing  (20)    Variation in human protein-coding regions  (35) Genomic Endocrinology  (42) Genomic Testing: Methodology for Diagnosis  (416) Genomics Pharmacy  (40) Global Market of Medical Devices Technology  (2) Global Medical Publishers by Country  (3) Global Partnering & Biotech Investment  (47) GLP  (4) Glycobiology: Biopharmaceutical Production  (16) Glycobiology: Biopharmaceutical Production, Pharmacodynamics and Pharmacokinetics  (28) Health Care System by Country  (58)    AI Models in Healthcare  (12)    Centers for Medicare & Medicaid Services  (8)    Health in Israel  (2)    India  (1)    United States  (27)       Hospital-based Medical Innovations  (10)       Medical Recertification and Maintenance of Certification (MOC)  (1) Health Economics and Outcomes Research  (384)    Women Health  (18)       Heart and Brain Disease in Women  (3) Health Law & Patient Safety  (165)    and Bioethics  (14)    Biotechnology  (12)    Health Law Policy  (13) HealthCare IT  (138) Healthcare Reform  (117)    Accountable Care Organizations  (26)    Affordable Care Act  (29)       Repair  (1)       Repeal ACA  (1)       Replace  (1)    Federal Budget Appropriations  (26)    Healthcare costs and reimbursement  (59)    Indigent Nutrition  (14)    Medicare and Medicaid  (20)    Prescription Drugs Costs  (21)    Skilled Nursing Facilities  (6)    Technology Capital Expenses  (15)    Uninsured and Underinsured  (20) Hematology  (100)    Acute lymphocytic leukemia  (18)    Acute myelocytic leukemia  (21)    Hematopoiesis  (48)    Lymphoma  (21) History and physical exam  (6) Human aging  (27) Human Immune System in Health and in Disease  (246) Human Sensation and Cellular Transduction: Physiology and Therapeutics  (21) Image Processing/Computing  (41) Imaging-based Cancer Patient Management  (116) Immuno-Oncology & Genomics  (133)    mRNA platform in Drug DIscovery  (6) Immunodiagnostics  (139)    Cancer-Immune Interactions  (29)    CNS-Immune Interface  (5)    Neuronal Circuits  (4) Immunology  (123)    Adaptive Immune Response to Biomaterials and Tissue Repair  (13)    Antibody Responses Predict Antigen Exposure  (17)    Cytokine Receptor Structure  (8)    Human Antibody Response  (18)    Human Circulating Antibody Repertoire  (11)    Human Naive B Cell Repertoire  (8)    MHC Repertoires for Antigen Prediction  (8)    Protection Against Autoimmune Disease  (11)    Synthetic Immunology: Hacking Immune Cells  (15) Immunotherapy  (133)    CAR-T  (14)    combination immunotherapies.  (14)    Efficacy of Anti-Tumor T Cells  (13)    Engineering Better T Cells  (8)    Immune Engineering  (17)    Immune Modulatory  (15)    Integrin-targeted Combination Immunotherapy  (6)    Modulating Macrophages in Cancer Immunotherapy  (16)    NK Cell-Based Cancer Immunotherapy  (19)    Synergistic Innate and Adaptive Immunotherapy  (14) Income Disparity  (2) Infectious Disease & New Antibiotic Targets  (162)    Antibiotic resistance  (7)    Viral diseases  (37)       Myocarditis  (1) Infectious Disease Immunodiagnostics  (58)    Virology – Vector-borne DIsease  (17) Inflammasome  (29)    Anti-tumor necrosis factor drugs (TNF inhibitors)  (3) Innovation in Immunology Diagnostics  (111)    Universal Immune Cell Therapies (uICT)  (11) Innovations  (186)    R&D Expenditure  (8) Innovations in Neurophysiology & Neuropsychology  (145)    Age and Life Expectancy  (3)    autism spectrum disorder  (1)    Circadian Rhythm and Sleep  (6)    hNPCs  (1)    Nervous System Function  (2)    Relapsing Multiple Sclerosis  (1) Intellectual Property  (83)    Disputes and Settlements  (9)    IP Valuation Models – Pricing Intangible Assets  (7)    Patent Law in Biotech  (12) Intellectual Property, Innovations, Commercialization, Investment in technological breakthrough  (119) International Global Work in Pharmaceutical  (190) Interventional Oncology: Radiofrequency Ablation, Transarterial Chemoembolization, Microwave Ablation and Irreversible Electroporation (IRE)  (12) Interviews with Scientific Leaders  (315)    Albany Medical Center Prize in Medicine and Biomedical Research  (2)    Annual Breakthrough Prize  (4)    Annual Lewis S. Rosenstiel Award  (2)    Awards in Cardiology and Cardiovascular Medicine  (6)    CEOs of Biotech Companies  (3)    Gerald D Aurbach Award for Outstanding Translational Research  (2)    Interviews with Key Opinion Leaders (KOLs)  (10)    James Prize in Science and Technology Integration  (2)    Jessie Stevenson Kovalenko Medal – Medical Sciences  (2)    Lemelson-MIT Prize  (2)    Life Sciences Breakthrough Prize  (5)    Mosteller Statistician of the Year Award  (2)    Mourning the Loss of a Scientific Leader  (3)    National Academy of Sciences AWARDS  (4)    Nobel Prize Winners  (29)    Noble Prize (Not Nobel Prize)  (2)    Paul Marks Prize for Cancer Research  (2)    Russ Prize recognizes bioengineering achievements worldwide  (2)    The Dan David Prize  (6)    Warren Alpert Foundation Prize Recipients  (4)    Wolf Prize  (2)    Wolf Prize in Medicine  (2)    women in science  (5) Investment in Technological Breakthrough  (60) Ionic Transporters Na+  (25) IP Development by LPBI Group Team  (14) IP Development by LPBI Group Team & Other Organizations  (8) ISO 14155  (3) Joint Venture – SBH & M3DP: SOP and Arrangements  (1) Justice & Law  (1) K  (15) Lab-on-a-chip  (2) Landscape  (1) Lasers and photonics  (18)    Midrange IR spectroscopy  (1) Law and Medicine Conflicts  (14) Leadership, Power, Social Interlocking Connections  (13) Lipid metabolism  (109)    Fatty acids  (38)    Lipids  (38)    PCSK9 Inhibitor Therapy  (19) Lipidomics  (11) Liposome  (4) Liver & Digestive Diseases Research  (122) LPBI Group, e-Scientific Media, DFP, R&D-M3DP, R&D-Drug Discovery, US Patents: SOPs and Team Management  (143)    Award Nominations  (5)    BioMed e-Books e-Series by LPBI Group  (9)    Feedback from Investors: LPBI Portfolio of Five Businesses  (2)    LPBI Group Founder – Aviva Lev-Ari  (27)    PhD  (1)    RN  (1) LPBI Management  (23) Massachusetts Academy of Sciences (MAS)    (2) Materials Science & Engineering  (37)    Organic BioElectronics  (2) Math  (13)    Great Discoveries  (7) Mechanical Assist Devices: LVAD  (4) Medical and Population Genetics  (193) Medical Devices R&D Investment  (242)    21st Century Cures Act  (2)    CE Mark & Global Regulatory Affairs: process management and strategic planning – GCP  (14)    Rhythm management device hardware: dual-chamber pacemakers  (1)       Systolic HTN  (1) Medical Imaging Technology  (59) Medical Imaging Technology, Image Processing/Computing, MRI, CT, Nuclear Medicine, Ultra Sound  (164)    Circumferential-Intravascular-Radioluminescence-Photoacoustic-Imaging (CIRPI)  (3)    Echocardiography  (3)    MRI  (18)    Noninvasive Diagnostic Fractional Flow Reserve (FFR) CT  (6)    Ultra Sound  (10) Melatonin & Circadian Regulation  (9) memory loss  (1) Metabolism  (239)    Biochemical pathways  (144)       Enzymes and isoenzymes  (73)          Dehydrogenase  (16)          Kinase  (28)          Phosphatase  (9)          Phosphorylase  (22)          tyrosine decarboxylases  (3)    Inosine nucleotides  (9)    Leloir pathway  (6)    microbiome  (7)    Pentose monophosphate shunt  (14)    Pyridine nucleotides  (28)       Pyridine nucleotide transhydrogenase  (7) Metabolomics  (321) Methods  (37) Mg++  (10) Microbiologial genetics  (36) Microbiology  (68)    Virology  (14) Micronutrients  (16) Microvesicle  (7) Microwave Ablation and Irreversible Electroporation (IRE)  (1) Mobile Healthcare  (5) Molecular Genetics & Pharmaceutical  (377)    Organoids  (3) Monoclonal antibody therapy  (14) Mutant Gene Expression  (42) Myocardial adenine nucleotide metabolism  (6) Myocardial Ischemia  (26) Myocardial Metabolism  (36) Na-K transport  (40) Na-K-ATPase  (27) Nanotechnology for Drug Delivery  (99) Nephrology  (46) Nephrology & Regenerative medicine  (9) Neurodegenerative Diseases  (89)    hNPCs  (3)    MS  (5) Neurohumoral Transmission  (68)    Ca2+ triggered activation  (21)    Calmodulin  (13)    Parkinson’s disease dyskinesia levodopa  (3)    PKC  (13)    Synaptic vesicle  (20) Neurological Diseases  (121) Neuroscience  (126) Next Generation Sequencing (NGS)  (27)    Nanopore sequencing  (1) NIH Common Fund  (1) Nitric Oxide in Health and Disease  (136) Nuclear Medicine  (11) Nutrigenomics  (68) Nutrition  (195)    Nutritional Supplements: Atherogenesis, lipid metabolism  (50) Nutrition and Phytochemistry  (62)    Minerals in Medicine  (4)    Plant extract  (22) Nutrition Disorders  (31) Nutritional Supplements: Atherogenesis  (31) Obesity  (19) Oligonucleotide Therapeutics & Delivery  (7) Oncolytic virus & OncoViro-Therapy  (22)    Synthetic Virology  (1) Organ-on-a-Chip & 3D Printing in Life Sciences  (7) Pain: Etiology, Genetics & Innovations in Treatment  (24) Parasitology  (5)    Malaria  (4)    Tropical diseases  (1) Patents  (34) Patient Experience  (66)    Art therapy  (1)    Hospital reputation  (7)    Humor  (1)    Music therapy  (2)    Pain Alleviation  (7)    Patient Outlook  (28)    Reputation of Interventionist  (4)    Support Staff  (13)    Supportive therapies  (6)       laughfter  (1)    Surgical Procedure  (9) Patient Experience: Personal Memories of Invasive Medical Intervantion  (30) Patient’s Voice: Personal Experience with Invasive Medical Procedures  (18) Perioperative Statins at Noncardiac Surgery  (2) Personal Health Applications: Tech Innovations serves HealhCare  (43) Personalized and Precision Medicine & Genomic Research  (736)    Longevity  (3)    New Drug Approval  (5)    Patient-centered Medicine  (39)       cell-based therapy  (9)       stem cell biology and patient-specific  (7)    Personalized Medicine Coalition  (10)    Precision Cancer Medicine  (31) Phagophore  (2) Pharmaceutical Analytics  (261)    Pharmacologic toxicities  (62) Pharmaceutical Discovery  (109)    Rapid automation of plasma protein pools  (17) Pharmaceutical Drug Discovery  (200)    Drug Development Process  (55)       Drug Discovery Chemistry  (29)    drug repurposing  (10) Pharmaceutical Industry Competitive Intelligence  (343)    Pharmacovigilance  (7)    Value-based Drug Pricing  (8) Pharmaceutical R&D Informatics  (44) Pharmaceutical R&D Investment  (299) Pharmacodynamics and Pharmacokinetics  (24) Pharmacogenomics  (159) Photography Collection  (1) Physics  (12) Placenta  (7) Population genetics  (27) Population Health Management  (204)    Evolution of Biology Through Culture  (14)    U.S. Employment-to-Population Ratio  (8) Population Health Management, Genetics & Pharmaceutical  (643)    COVID-19  (157)       Biomarkers: Inflammation  (37)       Cancer Researchers Fighting COVID-19  (14)       COVID-19 effects on Human Heart  (15)       COVID-19: Pandemic Surgery Guidance  (19)       Economic Impact of Coronavirus Pandemic  (41)       number of asymptomatic infections  (27)       Treatment Protocols for COVID-19  (62)    SARS-CoV-2  (141)       Coronavirus Gene Expression  (66)          SARS-CoV-2 circulating variants   (14)          SARS-CoV-2 Viral Variants  (19)       Glycosylation and its Role in SARS-CoV-2 Viral Pathogenesis  (2)       Immune-Mediation (independent immunopathology: lung and reticuloendothelial system)  (30)       Mechanisms of infection by SARS-CoV-2  (21)       SAR-Cov-2 a vasculotropic (blood vessels) RNA Virus  (35)          SARS-COV2 Hijacking the Complement and Coagulation Systems  (19)       Seasonality & Environmental Factors in Resurgence  (26)       Serology tests for coronavirus antibodies  (44)       T-cell response to SARS-CoV-2 infection  (14)       Vaccinology  (51)          Mechanism of Thrombosis with AZ & J&J COVID-19 Vaccines  (5)       Virtual Drug Molecule Screening targeting SAR-CoV-2 proteins  (8)    Virus Infective Acute Respiratory Syndrome: SARS-CoV  (92) Population Health Management, Nutrition and Phytochemistry  (162) Preimplantation Genetic Diagnosis and Reproductive Genomics  (13) Protein-energy malnutrition  (12) Proteomics  (367)    Amino acids  (54)    Proteins  (138) Pulmonary diseases  (16)    Lung and pulmonology  (15) Pulmonary pathology  (8) Radio Frequency (RF)-based Surgical Solutions  (2) REAL TIME Conference Coverage Twitter’s Hashtags and Handles per Presentation/session  (50) Regenerative Biology and Medicine  (92) Regulated Clinical Trials: Design, Methods, Components and IRB related issues  (265) Reproductive Andrology, Embryology, Genomic Endocrinology, Preimplantation Genetic Diagnosis and Reproductive Genomics  (113) Reproductive Biology & Bio Instrumentation  (78) RNA Biology  (81)    RNA interference (RNAi) therapeutic  (4) RNA Biology, Cancer and Therapeutics  (64) RVAD  (1) SBIR, SBA, NIH, NSF  (3) Schizophrenia  (16) Scientific & Biotech Conferences: Press Coverage  (182) Scientific Publishing  (609)    Curation  (585)       Curation methodology  (40)       De novo synthesis  (16)       Dialectic  (17)       Discovery process  (72)       Evolutionary cognition  (52)       Experimental validation  (91)       Explanatory  (91)       Historical relevance  (71)       Technology Advance Assessment of  (69)       Theoretic convergence  (27)    Open Access Journals  (37) Scientist: Career considerations  (197)    Big Data & Analytics  (17)    Data Science  (13)    Women in Life Sciences  (12) Scoop.it  (19) Sensors & Analytics  (18) Sepsis  (2) Severe Autism  (3) Signaling  (102)    Phosphorylation  (43)    S-nitrosylation  (13)    Ubiquitinylation  (34) Signaling & Cell Circuits  (130) single cell sequencing  (3) Small Molecules in Development of Therapeutic Drugs  (71) Social Development  (15) Specialized 3D BioPrinters (Cornea  (1) Statistical Methods for Research Evaluation  (137) Stem Cells for Regenerative Medicine  (177)    Cardiac muscle regeneration  (19)    Competition in regenerative stem cell science  (18)    Human neural progenitor cells  (8)    Skeletal muscle regeneration  (9) STORM  (2) Stress Disorders  (19) Substance Abuse  (4) Systemic Inflammatory Response Related Disorders  (161)    Inflammatory Pathophysiology  (9) Technology Transfer: Biotech and Pharmaceutical  (354) therapeutics  (3) Tissue Engineering and Regenerative Medicine  (22) Tissue Microenvironment  (5) Transarterial Chemoembolization  (2) Transcriptomics  (47) Transformative Technologies in Healthcare  (23) Translational Science  (230)    Best evidence  (52)    Bias measurement tools  (2)    Evidence-based decision-making  (29)    Inferential analysis  (25)    Intra-rater error  (1)    Quality Assurance  (8)    Random Error  (2)    Systematic Error (Bias)  (6)    Total error  (2)    Translational Effectiveness  (49)    Translational Research  (92) Trends in Global Economy  (6) Uncategorized  (1,019) Unfolded Protein Response (UPR)  (6) US and Global Economy: Trends and Findings  (9) Venture Capital  (47)    Income Geographic Distribution  (3)    Institutional Capital Raised by Female Founders  (6) virology  (10) Vision  (7) Voices of Patients and Healthcare Providers  (22) Water Transporters  (8) Wearable Tech + Digital Health  (5) Anemia  (22) Neutropenia  (8) Neutrophilia  (9) Platelet count disorder  (9) Folate and B12  (7) Iron deficiency  (5) Myelodysplasia  (13) Myelofibrosis  (10)

• Meta

  • Log in
  • Entries feed
  • Comments feed
  • WordPress.org

• • 2012pharmaceutical
  • sjwilliamspa