Leaders in Pharmaceutical Business Intelligence (LPBI) Group

Posts Tagged ‘driver gene’

Machine Learning (ML) in cancer prognosis prediction helps the researcher to identify multiple known as well as candidate cancer diver genes

Posted in Artificial Intelligence in CANCER, Cancer - General, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Genomics, Cancer Screening, Clinical Genomics, CRISPR/Cas9 & Gene Editing, Genetics & Innovations in Treatment, Machine Learning, Mutant Gene Expression, Personalized and Precision Medicine & Genomic Research, Precision Cancer Medicine, tagged Artificial intelligence, Cancer, Cancer prognosis prediction, cancer progression, computational algorithm, driver gene, Machine Learning on May 4, 2021| Leave a Comment »

Machine Learning (ML) in cancer prognosis prediction helps the researcher to identify multiple known as well as candidate cancer diver genes

Curator and Reporter: Dr. Premalata Pati, Ph.D., Postdoc

Cancer has been characterized as a heterogeneous disease consisting of many different subtypes. The early diagnosis and prognosis of a cancer type have become a necessity in cancer research, as it can facilitate the subsequent clinical management of patients. The importance of classifying cancer patients into high or low-risk groups has led many research teams, from the biomedical and the bioinformatics field, to study the application of machine learning (ML) and Artificial Intelligence (AI) methods. Therefore, these techniques have been utilized as an aim to model the progression and treatment of cancerous conditions by predicting new algorithms.

In the majority of human cancers, heritable loss of gene function through cell division may be mediated as often by epigenetic as by genetic abnormalities. Epigenetic modification occurs through a process of interrelated changes in CpG island methylation and histone modifications. Candidate gene approaches of cell cycle, growth regulatory and apoptotic genes have shown epigenetic modification associated with loss of cognate proteins in sporadic pituitary tumors.

On 11th November 2020, researchers from the University of California, Irvine, has established the understanding of epigenetic mechanisms in tumorigenesis and publicized a previously undetected repertoire of cancer driver genes. The study was published in “Science Advances”

Researchers were able to identify novel tumor suppressor genes (TSGs) and oncogenes (OGs), particularly those with rare mutations by using a new prediction algorithm, called DORGE (Discovery of Oncogenes and tumor suppressor genes using Genetic and Epigenetic features) by integrating the most comprehensive collection of genetic and epigenetic data.

The senior author Wei Li, Ph.D., the Grace B. Bell chair and professor of bioinformatics in the Department of Biological Chemistry at the UCI School of Medicine said

Existing bioinformatics algorithms do not sufficiently leverage epigenetic features to predict cancer driver genes, even though epigenetic alterations are known to be associated with cancer driver genes.

The Study

This study demonstrated how cancer driver genes, predicted by DORGE, included both known cancer driver genes and novel driver genes not reported in current literature. In addition, researchers found that the novel dual-functional genes, which DORGE predicted as both TSGs and OGs, are highly enriched at hubs in protein-protein interaction (PPI) and drug/compound-gene networks.

• 

Prof. Li explained that the DORGE algorithm, successfully leveraged public data to discover the genetic and epigenetic alterations that play significant roles in cancer driver gene dysregulation and could be instrumental in improving cancer prevention, diagnosis and treatment efforts in the future.

Another new algorithmic prediction for the identification of cancer genes by Machine Learning has been carried out by a team of researchers at the Max Planck Institute for Molecular Genetics (MPIMG) in Berlin and the Institute of Computational Biology of Helmholtz Zentrum München combining a wide variety of data analyzed it with “Artificial Intelligence” and identified numerous cancer genes. They termed the algorithm as EMOGI (Explainable Multi-Omics Graph Integration). EMOGI can predict which genes cause cancer, even if their DNA sequence is not changed. This opens up new perspectives for targeted cancer therapy in personalized medicine and the development of biomarkers. The research was published in Nature Machine Intelligence on 12th April 2021.

In cancer, cells get out of control. They proliferate and push their way into tissues, destroying organs and thereby impairing essential vital functions. This unrestricted growth is usually induced by an accumulation of DNA changes in cancer genes—i.e. mutations in these genes that govern the development of the cell. But some cancers have only very few mutated genes, which means that other causes lead to the disease in these cases.

The Study

The aim of the study has been represented in 4 main headings

• Additional targets for personalized medicine
• Better results by combination
• In search of hints for further studies
• Suitable for other types of diseases as well

The team was headed by Annalisa Marsico. The team used the algorithm to identify 165 previously unknown cancer genes. The sequences of these genes are not necessarily altered-apparently, already a dysregulation of these genes can lead to cancer. All of the newly identified genes interact closely with well-known cancer genes and be essential for the survival of tumor cells in cell culture experiments. The EMOGI can also explain the relationships in the cell’s machinery that make a gene a cancer gene. The software integrates tens of thousands of data sets generated from patient samples. These contain information about DNA methylations, the activity of individual genes and the interactions of proteins within cellular pathways in addition to sequence data with mutations. In these data, a deep-learning algorithm detects the patterns and molecular principles that lead to the development of cancer.

Marsico says

Ideally, we obtain a complete picture of all cancer genes at some point, which can have a different impact on cancer progression for different patients

Unlike traditional cancer treatments such as chemotherapy, personalized treatments are tailored to the exact type of tumor. “The goal is to choose the best treatment for each patient, the most effective treatment with the fewest side effects. In addition, molecular properties can be used to identify cancers that are already in the early stages.

Roman Schulte-Sasse, a doctoral student on Marsico’s team and the first author of the publication says

To date, most studies have focused on pathogenic changes in sequence, or cell blueprints, at the same time, it has recently become clear that epigenetic perturbation or dysregulation gene activity can also lead to cancer.

This is the reason, researchers merged sequence data that reflects blueprint failures with information that represents events in cells. Initially, scientists confirmed that mutations, or proliferation of genomic segments, were the leading cause of cancer. Then, in the second step, they identified gene candidates that are not very directly related to the genes that cause cancer.

Clues for future directions

The researcher’s new program adds a considerable number of new entries to the list of suspected cancer genes, which has grown to between 700 and 1,000 in recent years. It was only through a combination of bioinformatics analysis and the newest Artificial Intelligence (AI) methods that the researchers were able to track down the hidden genes.

Schulte-Sasse says “The interactions of proteins and genes can be mapped as a mathematical network, known as a graph.” He explained by giving an example of a railroad network; each station corresponds to a protein or gene, and each interaction among them is the train connection. With the help of deep learning—the very algorithms that have helped artificial intelligence make a breakthrough in recent years – the researchers were able to discover even those train connections that had previously gone unnoticed. Schulte-Sasse had the computer analyze tens of thousands of different network maps from 16 different cancer types, each containing between 12,000 and 19,000 data points.

Many more interesting details are hidden in the data. Patterns that are dependent on particular cancer and tissue were seen. The researchers were also observed this as evidence that tumors are triggered by different molecular mechanisms in different organs.

Marsico explains

The EMOGI program is not limited to cancer, the researchers emphasize. In theory, it can be used to integrate diverse sets of biological data and find patterns there. It could be useful to apply our algorithm for similarly complex diseases for which multifaceted data are collected and where genes play an important role. An example might be complex metabolic diseases such as diabetes.

Main Source

New prediction algorithm identifies previously undetected cancer driver genes

https://advances.sciencemag.org/content/6/46/eaba6784  

Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms

https://www.nature.com/articles/s42256-021-00325-y#citeas

Other Related Articles published in this Open Access Online Scientific Journal include the following:

AI System Used to Detect Lung Cancer

Reporter: Irina Robu, PhD

https://pharmaceuticalintelligence.com/2019/06/28/ai-system-used-to-detect-lung-cancer/

Deep Learning extracts Histopathological Patterns and accurately discriminates 28 Cancer and 14 Normal Tissue Types: Pan-cancer Computational Histopathology Analysis

Reporter: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2019/10/28/deep-learning-extracts-histopathological-patterns-and-accurately-discriminates-28-cancer-and-14-normal-tissue-types-pan-cancer-computational-histopathology-analysis/

Evolution of the Human Cell Genome Biology Field of Gene Expression, Gene Regulation, Gene Regulatory Networks and Application of Machine Learning Algorithms in Large-Scale Biological Data Analysis

Curator & Reporter: Aviva Lev-Ari, PhD, RN

https://pharmaceuticalintelligence.com/2019/12/08/evolution-of-the-human-cell-genome-biology-field-of-gene-expression-gene-regulation-gene-regulatory-networks-and-application-of-machine-learning-algorithms-in-large-scale-biological-data-analysis/

Cancer detection and therapeutics

Curator: Larry H. Bernstein, MD, FCAP

https://pharmaceuticalintelligence.com/2016/05/02/cancer-detection-and-therapeutics/

Free Bio-IT World Webinar: Machine Learning to Detect Cancer Variants

Reporter: Stephen J. Williams, PhD

https://pharmaceuticalintelligence.com/2016/05/04/free-bio-it-world-webinar-machine-learning-to-detect-cancer-variants/

Artificial Intelligence: Genomics & Cancer

https://pharmaceuticalintelligence.com/ai-in-genomics-cancer/

Premalata Pati, PhD, PostDoc in Biological Sciences, Medical Text Analysis with Machine Learning

https://pharmaceuticalintelligence.com/2021-medical-text-analysis-nlp/premalata-pati-phd-postdoc-in-pharmaceutical-sciences-medical-text-analysis-with-machine-learning/

Share this:

• Click to share on Twitter (Opens in new window)
• Click to share on LinkedIn (Opens in new window)
• Click to share on Facebook (Opens in new window)
• Click to print (Opens in new window)
• Click to email a link to a friend (Opens in new window)

Like this:

Like Loading...

Read Full Post »

Targeted Therapy for Triple Negative Breast Cancer

Posted in Anaerobic Glycolysis, Biochemical pathways, CANCER BIOLOGY & Innovations in Cancer Therapy, Cancer Informatics, Cell Biology, Signaling & Cell Circuits, Chemical Biology and its relations to Metabolic Disease, Chemical Genetics, Clinical & Translational, Clinical Diagnostics, Gene Regulation, Genetics & Innovations in Treatment, Genetics & Pharmaceutical, Genome Biology, Genomic Expression, Metabolism, Personalized and Precision Medicine & Genomic Research, Pharmaceutical Drug Discovery, tagged driver gene, GSTP1, Targeted therapy, Triple-negative breast cancer on May 19, 2016| Leave a Comment »

Targeted Therapy for Triple Negative Breast Cancer

Curator: Larry H. Bernstein, MD, FCAP

LPBI

 

Triple-Negative Breast Cancer Target Is Found

May 17, 2016   Researchers at UC Berkeley discover a target that drives cancer metabolism in triple-negative breast cancer.
http://www.technologynetworks.com/Genotyping/news.aspx?ID=191502

UC Berkeley researchers have found a long-elusive Achilles’ heel within “triple-negative” breast tumors, a common type of breast cancer that is difficult to treat. The scientists then used a drug-like molecule to successfully target this vulnerability, killing cancer cells in the lab and shrinking tumors in mice.

“We were looking for targets that drive cancer metabolism in triple-negative breast cancer, and we found one that was very specific to this type of cancer,” said Daniel K. Nomura, an associate professor of chemistry and of nutritional sciences and toxicology at UC Berkeley and senior author for the study, which is published online ahead of print in Cell Chemical Biology.

Triple-negative breast cancers account for about one in five breast cancers, and they are deadlier than other forms of breast cancer, in part because no drugs have been developed to specifically target these tumors.

Triple-negative breast cancers do not rely on the hormones estrogen and progesterone for growth, nor on human epidermal growth factor receptor 2 (HER2). Because they do not depend on these three targets, they are not vulnerable to modern hormonal therapies or to the HER2-targeted drug Herceptin (trastuzumab).

Instead, oncologists treat triple-negative breast cancer with older chemotherapies that target all dividing cells. If triple-negative breast cancer spreads beyond the breast to distant sites within the body, an event called metastasis, there are few treatment options.

Tumor cells develop abnormal metabolism, which they rely on to get the energy boost they need to fuel their rapid growth. In their new study, the research team used an innovative approach to search for active enzymes that triple-negative breast cancers use differently for metabolism in comparison to other cells and even other tumors.

Inhibiting cancer metabolism

They discovered that cells from triple-negative breast cancer cells rely on vigorous activity by an enzyme called glutathione-S-transferase Pi1 (GSTP1). They showed that in cancer cells, GSTP1 regulates a type of metabolism called glycolysis, and that inhibition of GSTP1 impairs glycolytic metabolism in triple-negative cancer cells, starving them of energy, nutrients and signaling capability. Normal cells do not rely as much on this particular metabolic pathway to obtain usable chemical energy, but cells within many tumors heavily favor glycolysis.

Co-author Eranthie Weerapana, an associate professor of chemistry at Boston College, developed a molecule named LAS17 that tightly and irreversibly attaches to the target site on the GSTP1 molecule. By binding tightly to GSTP1, LAS17 inhibits activity of the enzyme. The researchers found that LAS17 was highly specific for GSTP1, and did not attach to other proteins in cells.

According to Nomura, LAS17 did not appear to have toxic side effects in mice, where it shrank tumors grown to an invasive stage from surgically transplanted, human, triple-negative breast cancer cells that had long been maintained in lab cultures.

The research team intends to continue studying LAS17, Nomura said, with the next step being to study tumor tissue resected from human triple-negative breast cancers and transplanted directly into mice.

“Inhibiting GSTP1 impairs glycolytic metabolism,” Nomura said. “More broadly, this inhibition starves triple-negative breast cancer cells, preventing them from making the macromolecules they need, including the lipids they need to make membranes and the nucleic acids they need to make DNA. It also prevents these cells from making enough ATP, the molecule that is the basic energy fuel for cells.”

Beyond the metabolic role they first sought to track down, GSTP1 also appears to aid signaling within triple-negative breast cancer cells, helping to spur tumor growth, the researchers found.

Technique identifies Achilles’ heels

Nomura said it was surprising that a single, unique target emerged from the research team’s search.

The method used by the researchers, called “reactivity-based chemoproteomics,” can quickly lead to specific targetable sites — the Achilles’ heels — on proteins of interest, and eventually to drug development strategies, Nomura said.

The approach is to search for protein targets that are actively functioning within cells, instead of first using the well-trod path of surveying all genes to identify the specific genes that have taken the first step toward protein production. With that more conventional strategy, the switching on, or “expression,” of genes is evidenced by the easily quantified molecule called messenger RNA, made by the cell from a gene’s DNA template.

Nomura’s team instead first used chemical probes that can react with certain configurations of two of the amino acid building blocks of protein — cysteine and lysine — known to be involved in several kinds of important structural and functional transitions that active proteins can undergo.

“A lot can happen after the first step in protein production, and we believe our method for identifying fully formed, active proteins is more useful for tracking down relevant differences in cellular physiology,” Nomura said.

The researchers analyzed and compared cells from five distinct triple-negative breast cancers that had been grown in cell cultures for generations, along with cells from four distinct breast cancers that were not triple negative.

The scientists used a chemical identification technique known as mass spectrometry to narrow down the set of proteins that had active lysines and cysteines to just those that were metabolic enzymes. Only then did they use the more conventional approach of measuring gene expression in the different cancer cell types.

GSTP1 was the only metabolically active enzyme that was specifically expressed only in triple-negative breast cancer cells compared to other breast cancer cell types, the researchers found. Separate analysis of databases of human breast cancer by UC San Francisco co-authors confirmed that GSTP1 is overexpressed in patients with triple-negative breast cancers in comparison to patients with other breast cancers.

In addition to Nomura and Weerapana, study authors included Sharon Louie, Elizabeth Grossman, Lucky Ding, Tucker Huffman and David Miyamoto, from UC Berkeley; Roman Camarda and Andrei Goga, from UC San Francisco, and Lisa Crawford, from Boston College. Study funders included the National Institutes of Health, the American Cancer Society, the U.S. Department of Defense, and the Searle Scholar Foundation.

 

Triple-negative breast cancer target is found

ByJeffrey Norris|MAY 12, 2016
http://news.berkeley.edu/2016/05/12/triple-negative-breast-cancer-target-is-found/

Breast cancer metastasized to the liver (Courtesy of National Cancer Institute)

UC Berkeley researchers have found a long-elusive Achilles’ heel within “triple-negative” breast tumors, a common type of breast cancer that is difficult to treat. The scientists then used a drug-like molecule to successfully target this vulnerability, killing cancer cells in the lab and shrinking tumors in mice.

“We were looking for targets that drive cancer metabolism in triple-negative breast cancer, and we found one that was very specific to this type of cancer,” said Daniel K. Nomura, an associate professor of chemistry and of nutritional sciences and toxicology at UC Berkeley and senior author for the study, which is published online ahead of print on May 12 in Cell Chemical Biology.

Triple-negative breast cancers account for about one in five breast cancers, and they are deadlier than other forms of breast cancer, in part because no drugs have been developed to specifically target these tumors.

Triple-negative breast cancers do not rely on the hormones estrogen and progesterone for growth, nor on human epidermal growth factor receptor 2 (HER2). Because they do not depend on these three targets, they are not vulnerable to modern hormonal therapies or to the HER2-targeted drug Herceptin (trastuzumab).

Instead, oncologists treat triple-negative breast cancer with older chemotherapies that target all dividing cells. If triple-negative breast cancer spreads beyond the breast to distant sites within the body, an event called metastasis, there are few treatment options.

Tumor cells develop abnormal metabolism, which they rely on to get the energy boost they need to fuel their rapid growth. In their new study, the research team used an innovative approach to search for active enzymes that triple-negative breast cancers use differently for metabolism in comparison to other cells and even other tumors.

Inhibiting cancer metabolism

They discovered that cells from triple-negative breast cancer cells rely on vigorous activity by an enzyme called glutathione-S-transferase Pi1 (GSTP1). They showed that in cancer cells, GSTP1 regulates a type of metabolism called glycolysis, and that inhibition of GSTP1 impairs glycolytic metabolism in triple-negative cancer cells, starving them of energy, nutrients and signaling capability. Normal cells do not rely as much on this particular metabolic pathway to obtain usable chemical energy, but cells within many tumors heavily favor glycolysis.

for mor see.. http://news.berkeley.edu/2016/05/12/triple-negative-breast-cancer-target-is-found/

 

GSTP1 Is a Driver of Triple-Negative Breast Cancer Cell Metabolism and Pathogenicity

Sharon M. Louie, Elizabeth A. Grossman, Lisa A. Crawford….., Eranthie Weerapana, Daniel K. Nomura

DOI: http://dx.doi.org/10.1016/j.chembiol.2016.03.017http://www.cell.com/cell-chemical-biology/pdfExtended/S2451-9456(16)30123-4

http://www.cell.com/cms/attachment/2056190736/2061269805/fx1.jpg

• •We used chemoproteomics to profile metabolic drivers of breast cancer
• •GSTP1 is a novel triple-negative breast cancer-specific target
• •GSTP1 inhibition impairs triple-negative breast cancer pathogenicity
• •GSTP1 inhibition impairs GAPDH activity to affect metabolism and signaling

Breast cancers possess fundamentally altered metabolism that fuels their pathogenicity. While many metabolic drivers of breast cancers have been identified, the metabolic pathways that mediate breast cancer malignancy and poor prognosis are less well understood. Here, we used a reactivity-based chemoproteomic platform to profile metabolic enzymes that are enriched in breast cancer cell types linked to poor prognosis, including triple-negative breast cancer (TNBC) cells and breast cancer cells that have undergone an epithelial-mesenchymal transition-like state of heightened malignancy. We identified glutathione S-transferase Pi 1 (GSTP1) as a novel TNBC target that controls cancer pathogenicity by regulating glycolytic and lipid metabolism, energetics, and oncogenic signaling pathways through a protein interaction that activates glyceraldehyde-3-phosphate dehydrogenase activity. We show that genetic or pharmacological inactivation of GSTP1 impairs cell survival and tumorigenesis in TNBC cells. We put forth GSTP1 inhibitors as a novel therapeutic strategy for combatting TNBCs through impairing key cancer metabolism and signaling pathways.

Share this:

• Click to share on Twitter (Opens in new window)
• Click to share on LinkedIn (Opens in new window)
• Click to share on Facebook (Opens in new window)
• Click to print (Opens in new window)
• Click to email a link to a friend (Opens in new window)

Like this:

Like Loading...

Read Full Post »

• Follow Blog via Email

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

  Email Address

  Follow

  Join 9,459 other subscribers

• Recent Posts

  • Creating a Twitter Space for @pharma_BI for Live Broadcasts March 14, 2023
  • The Vibrant Philly Biotech Scene: Recent Happenings & Deals March 11, 2023
  • Peak oxygen uptake (VO2peak) quantified fitness: Lifelong and late-onset athletes had higher VO2peak than non-athletes March 7, 2023
  • Merck’s sotatercept overachieves, PCSK9 inhibitor passes phase 2 March 6, 2023
  • Bacterial multidrug resistance problem solved by a broad-spectrum synthetic antibiotic March 1, 2023
  • Genetic variation causes human lupus, systemic lupus erythematosus (SLE) February 23, 2023
  • Mimicking vaginal cells and microbiome interactions on chip microfluidic culture February 14, 2023
  • Press Release for Five Bilingual BioMed e-Series in English and in Spanish January 29, 2023
  • 2022 FDA Drug Approval List, 2022 Biological Approvals and Approved Cellular and Gene Therapy Products January 17, 2023
  • Verily announced other organizational changes, 1/13/2023 January 16, 2023

• Archives

  Archives Select Month 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  (231)    3D Plotting Scaffolds  (43)    BioInks  (33)       Biopolymer Blend Open Porous  (17)       Dental Applications  (10)    BioPrinting in Regenerative Medicine  (73)       Cell Level  (13)       MicroEngineering Cell-Tissue & Systems  (30)       Tissue Engineering  (35)    Cardiovascular and Vascular Systems  (27)       Artificial Vascular Structures  (9)       Cardiovascular Tissue  (8)    Drug Development using MultiOrgan Chip  (11)    Drug Development/Formulation using 3D Printing  (8)    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  (9) Academic Publishing  (222)    Key Opinion Leaders in eScientific Publishing – Interviews with  (8) Advanced Drug Manufacturing Technology  (92)    Antimalarial Preparation  (8)    Autologous Cell Therapy  (11)    Automated Cell Processing  (12) Allergy and Infectious Diseases  (12) Alzheimer’s Disease  (158)    Etiology  (76)    Medical Device Therapies for Altzheimer’s Disease  (14)    Pharmacotherapy and Cell Activity  (48) Anticancer Resistance  (28) Art Exhibits on the Human Condition  (1) Art Inspires Science  (3) Artificial Heart  (2) Artificial Intelligence – General  (182)    An executive’s guide to AI  (9)    Artificial Intelligence – Breakthroughs in Theories and Technologies  (91)    Artificial Intelligence Applications in Health Care  (90)       Artificial Intelligence in CANCER  (25)       Artificial Intelligence in Health Care – Tools & Innovations  (52)    Artificial Intelligence in Medicine – Application for Diagnosis  (50)       Artificial intelligence applications for cardiology  (22)          AI-assisted Cardiac MRI  (9)       Artificial Intelligence in Psychiatry  (5)       Deep Learning in Pathology  (13)    Artificial Intelligence in Medicine – Applications in Therapeutics  (44)    Machine Learning  (39)       Deep Learning  (5)       Natural Language Processing (NLP)  (20)    Machine learning in predicting type 2 diabetes  (1) Auditory and vision  (13) Autism Spectrum Disorders  (10) Autoimmune Inflammatory DIseases  (19)    Crohn’s disease  (5)    Tolerance-inducing Autoimmune Disease Therapeutics  (2)    Ulcerative Colitis  (3) Autophagosome  (2) Bacterial Resistance  (25) Behavior  (26) Behavioral Genetics  (21) Big Data  (75)    Intelligent Information Systems  (46) Bio Instrumentation in Experimental Life Sciences Research  (364)    Analytical Instruments Industry  (5)    Microfuidics  (7) Bio-Ethics  (14) BioBanking  (33) Biodegradable Drug-eluting Material  (7) Bioengineering & reverse engineering design  (41) BioIT: BioInformatics  (142) BioIT: BioInformatics, NGS, Clinical & Translational, Pharmaceutical R&D Informatics, Clinical Genomics, Cancer Informatics  (123)    Advanced Computing Platform  (30)       Blockchain Transactions System  (6)          Platform for Content Monetization embedded Content Promotion  (1)    Pancreatic adenocarcinoma classifier  (3)    Simulation Modeling in NGS  (3) Biological Engineering  (39) Biological Networks  (189) Biological Networks, Gene Regulation and Evolution  (472)    Virology  (10) Biomarkers & Medical Diagnostics  (564)    VOC – Volatile Organic Compounds as BioMarkers  (2) Biomedical Measurement Science  (171) BioSimilars  (111) BioTechnology – Venture Creation  (125)    Foundations for supporting Science and Education  (12)    Philanthropy to Academic Institution  (2) BioTechnology – Venture Creation, Venture Capital  (105)    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  (59) Calcium  (19) Calcium Signaling  (67) Calmodulin Kinase and Contraction  (34) Cancer – General  (175) Cancer and Current Therapeutics  (395)    interventional oncology  (42)       Breast Cancer – impalpable breast lesions  (17)       Prostate Cancer: Monitoring vs Treatment  (8) CANCER BIOLOGY & Innovations in Cancer Therapy  (1,090)    Anaerobic Glycolysis  (51)    Cachexia  (18)    Cancer Genomics  (69)       Circulating Tumor Cells (CTC)  (19)          Liquid Biopsy Chip detects an array of metastatic cancer cell markers in blood  (14)             mRNA  (5)          MagSifter chip  (1)       KRAS Mutation  (6)       Li-fraumeni syndrome.  (3)       TP53 – Germline mutations  (5)    cancer metabolism  (20)    Funding Opportunities for Cancer Research  (11)    Genomic Expression  (143)    Glioblastoma  (7)    Hexokinase  (14)    Loss of function gene  (18)    Metabolic Immuno-Oncology  (15)    Metastasis Process  (12)    Methylation  (31)    Microbiome and Responses to Cancer Therapy  (5)    Monoclonal Immunotherapy  (27)    mtDNA  (13)    Oxidative phosphorylation  (56)    Pancreatic cancer  (9)    Pyruvate Kinase  (27)    The NCI Formulary  (1)    tumor microenvironment  (13)    Warburg effect  (50) Cancer Informatics  (93) Cancer Prevention: Research & Programs  (125) Cancer Screening  (102) Cancer Vaccines: Targeting Cancer Genes for Immunotherapy  (25)    Engineering Enhanced Cancer Vaccines  (3) cancer-general  (1) Cardiac and Cardiovascular Surgical Procedures  (318)    Aortic Valve: TAVR, TAVI vs Open Heart Surgery  (86)       Prosthesis-Patient Mismatch (PPM) in TAVI vs SAVR  (1)       TAVI vs Open Heart Surgery  (5)       Transcatheter Aortic Valve Replacement via the Transcarotid Access  (1)       Transcaval TAVR Procedure  (2)       Valve-in-Valve Procedure  (3)    Atrial Fibrilation (a-Fib), Cardiac Pacing and Arrhythmias  (17)    BackBeat’s Cardiac Neuromodulation Therapy (CNT) bioelectronic therapy  (1)    CABG  (46)    Cancer Surgery of the Heart  (10)    Cardiovascular Fluid Management: algorithms  (1)    Heart Transplant  (14)    Heart-Lung Transplant  (9)    Implantation  (2)    Left Main Coronary Artery Disease (LMCAD)  (3)    Mechanical Assist Devices: LVAD, RVAD, BiVAD, Artificial Heart  (18)    Mitral Valve: Repair and Replacement  (63)       TMVR – Transcatheter Mitral Valve Repair  (4)    PCI  (104)       Bioresorbable Vascular Scaffold (BVS)  (3)       Invasive FFR for PCI  (2)       Multivessel PCI FFR Guidance  (1)       Robotic-assisted percutaneous coronary intervention  (1)       Stent Retriever in endovascular thrombectomy  (2)    Peripheral Arterial Disease & Peripheral Vascular Surgery  (62)       Abdominal Aorta  (19)       Carotid Artery  (15)       Limb ischemia  (4)       Thoracic Aorta  (15)    Pulmonary Valve Replacement and Repair  (2)    Renal Denervation  (20)    Replacement  (1)    Robotically assisted Cardiothoracic Surgery  (1)    Tricuspid Valve Repair  (6)    Vena Caval Filters: Device for Prevention of Pulmonary Embolism and Thrombosis  (1) Cardiovascular Pharmacogenomics  (168) Cargo  (3) Cell Biology  (318) Cell Biology, Signaling & Cell Circuits  (661)    Apoptosis  (16)    Autophagy-Modulating Proteins  (5)    “Antibody–enzyme conjugates”  (4)    Cell Processing System in Cell Therapy Process Development  (24)    Endoplasmic reticulum  (2)    Enzymatic mechanism underlying the synthesis of adenosine triphosphate (ATP)  (3)    Ubiquitin  (9) Cerebrovascular and Neurodegenerative Diseases  (122)    Stroke  (8) Chemical Biology and its relations to Metabolic Disease  (460)    #BIGAxisSummit  (1)    Gut Microbiome and Obesity  (7) Chemical Genetics  (349) Child and Adolescent Psychiatry  (13) Childhood cancer  (14) Childhood malnutrition  (3) children  (1) Circulating Progenitor Cells  (27)    Bone marrow derived cells  (17)    Endothelial cells  (7)    Umbilical cord cells  (6) Clinical & Translational  (234) Clinical Diagnostics  (215)    Mass automation of plasma proteins  (13) Clinical Genomics  (135) Coagulation Therapy and Internal Bleeding  (83) Cognition  (46) Commercialization  (20) Components and IRB related issues  (4) Computational Biology/Systems and Bioinformatics  (464)    Computational Histopathology  (2)    Meta-analysis of transcriptome data  (8) Conference Coverage with Social Media  (475)    MassBio  (3) coronavirus  (18) COVID-19  (20) CRISPR/Cas9 & Gene Editing  (188)    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  (10)       Gene Editing Impact on Longevity  (4) CT  (19) Cytokines  (19) Cytoskeleton  (84) Developmental biology  (105) Diabetes Mellitus  (141)    Artificial Pancreas for Type 2 Diabetes  (1)    Artificial Pancreas for Type1 Diabetes  (5)    Gestational diabetes  (2) Diagnostic Immunology  (56) Diagnostics and Lab Tests  (126)    Liquid Biopsy: Circulating Tumor Cells in Urine and Blood  (8) Digital HealthCare – biotech & internet joint ventures  (46) Disease Biology  (331) Disease Biology, Small Molecules in Development of Therapeutic Drugs  (483) DNA repair  (71)    Apoptosis  (11)    Autophagy  (12)    Cell death pathways  (18)    Proteolysis  (8)    Proteosome  (8) Drug Delivery Platform Technology  (154)    Drug Carrier Design  (19)       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  (9) Embryology  (24) Empathy  (6) Endocrine Diseases  (59) Enzyme Induction  (45)    ion-transporting enzyme  (1)    K + -ATPase.  (1)    Na +  (2) Epigenetics and Environmental Factors  (31) Ethics and Leadership  (10) Executive Compensation – Big Pharma  (3) Fat soluble vitamins  (4) FDA  (68) FDA Regulatory Affairs  (355)    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  (916)    Acute Myocardial Infarction  (60)       Cardiogenic Shock  (4)    Anemia in CVD Patients  (6)    Cardio-Oncology  (4)    Cardiomyopathy  (57)    Cardiovascular Research  (183)       Myocardial metabolism, Myocardial ischemia, myocardial perfusion, Myocardial adenine nucleotide metabolism  (62)       Pre-Clinical Animal Model Development  (23)    Chronic Thromboembolic Pulmonary Hypertension (CTEPH) and Pulmonary Arterial Hypertension (PAH)  (19)    Cost of Inpatient Stay for Cardiovascular Diagnosis for Admission  (1)    Electrophysiology  (107)       Ablation Procedure vs Drug Therapy  (2)       Arrhythmia Detection with Machine Learning Algorithms  (6)       Cardiotoxic Risks of Immune Checkpoint Inhibitors  (1)       Genomic Analysis of EKG Electrophysiology Genomics  (2)       implantable cardioverter defibrillator (ICD) and External Defibrillation  (1)       implantable pacemaker  (2)       Rare heart rhythm disorders and Long QT syndrome (LQTS)  (5)    Epigenetics and Cardiovascular Risks  (55)    Heart Failure (HF)  (46)       Acute coronary syndrome  (6)       congestive heart failure  (17)    Medical Devices R&D and Inventions  (207)       Assist Devices: LV  (3)       RV  (1)       Stents & Tools  (89)       Valves & Tools  (64)    Origins of Cardiovascular Disease  (416)       Atherogenic Processes & Pathology  (177)       Congenital Heart Disease  (34)          Genetic Mutations in Congenital Heart Disease  (4)       inflammation independent of lipid levels  (11)       Systemic Inflammatory Diseases as CVD Risk  (10)    Pharmacotherapy of Cardiovascular Disease  (352)       HTN  (172)       HTN in Youth  (7)       Resident-cell-based  (43)       Subarachnoid Hemorrhage (SAH)  (1)       Transthyretin amyloid cardiomyopathy (ATTR-CM)  (1)    Spontaneous Coronary Artery Dissection (SCAD)  (6)    Stroke  (13)       endovascular thrombectomy  (5)    Vascular Diseases  (20)       mesenteric ischemia  (3) Future Pandemics Inform-graphics  (1) Gastroenterology  (37) Gene Regulation  (226) Gene Regulation and Evolution  (134) Genetics & Innovations in Treatment  (170) Genetics & Pharmaceutical  (199) Genome Biology  (956)    Exosomes  (24)    Gene Therapy & Gene Editing Development  (37)    mRNA Therapeutics  (17)    Mutagenesis  (26)    Single Cell Genomics  (22)    Single-cell sequencing  (18)    Variation in human protein-coding regions  (30) Genomic Endocrinology  (41) Genomic Testing: Methodology for Diagnosis  (412) Genomics Pharmacy  (37) Global Market of Medical Devices Technology  (2) Global Medical Publishers by Country  (3) Global Partnering & Biotech Investment  (45) GLP  (4) Glycobiology: Biopharmaceutical Production  (14) Glycobiology: Biopharmaceutical Production, Pharmacodynamics and Pharmacokinetics  (26) Health Care System by Country  (45)    AI Models in Healthcare  (6)    Centers for Medicare & Medicaid Services  (7)    Health in Israel  (2)    United States  (21)       Hospital-based Medical Innovations  (7)       Medical Recertification and Maintenance of Certification (MOC)  (1) Health Economics and Outcomes Research  (376)    Women Health  (13)       Heart and Brain Disease in Women  (3) Health Law & Patient Safety  (160)    and Bioethics  (13)    Biotechnology  (11)    Health Law Policy  (10) HealthCare IT  (136) Healthcare Reform  (109)    Accountable Care Organizations  (25)    Affordable Care Act  (29)       Repair  (1)       Repeal ACA  (1)       Replace  (1)    Federal Budget Appropriations  (25)    Healthcare costs and reimbursement  (54)    Indigent Nutrition  (13)    Medicare and Medicaid  (20)    Prescription Drugs Costs  (21)    Skilled Nursing Facilities  (6)    Technology Capital Expenses  (15)    Uninsured and Underinsured  (19) Hematology  (99)    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  (235) Human Sensation and Cellular Transduction: Physiology and Therapeutics  (20) Image Processing/Computing  (41) Imaging-based Cancer Patient Management  (116) Immuno-Oncology & Genomics  (125)    mRNA platform in Drug DIscovery  (6) Immunodiagnostics  (126)    Cancer-Immune Interactions  (20)    CNS-Immune Interface  (3)    Neuronal Circuits  (4) Immunology  (112)    Adaptive Immune Response to Biomaterials and Tissue Repair  (9)    Antibody Responses Predict Antigen Exposure  (15)    Cytokine Receptor Structure  (7)    Human Antibody Response  (15)    Human Circulating Antibody Repertoire  (9)    Human Naive B Cell Repertoire  (8)    MHC Repertoires for Antigen Prediction  (8)    Protection Against Autoimmune Disease  (7)    Synthetic Immunology: Hacking Immune Cells  (12) Immunotherapy  (119)    CAR-T  (13)    combination immunotherapies.  (11)    Efficacy of Anti-Tumor T Cells  (11)    Engineering Better T Cells  (7)    Immune Engineering  (13)    Immune Modulatory  (13)    Integrin-targeted Combination Immunotherapy  (5)    Modulating Macrophages in Cancer Immunotherapy  (11)    NK Cell-Based Cancer Immunotherapy  (16)    Synergistic Innate and Adaptive Immunotherapy  (13) Income Disparity  (2) Infectious Disease & New Antibiotic Targets  (161)    Antibiotic resistance  (6)    Viral diseases  (37)       Myocarditis  (1) Infectious Disease Immunodiagnostics  (56)    Virology – Vector-borne DIsease  (17) Inflammasome  (26)    Anti-tumor necrosis factor drugs (TNF inhibitors)  (2) Innovation in Immunology Diagnostics  (105)    Universal Immune Cell Therapies (uICT)  (9) Innovations  (185)    R&D Expenditure  (8) Innovations in Neurophysiology & Neuropsychology  (142)    Age and Life Expectancy  (1)    autism spectrum disorder  (1)    Circadian Rhythm and Sleep  (6)    hNPCs  (1)    Nervous System Function  (2)    Relapsing Multiple Sclerosis  (1) Intellectual Property  (75)    Disputes and Settlements  (8)    IP Valuation Models – Pricing Intangible Assets  (5)    Patent Law in Biotech  (12) Intellectual Property, Innovations, Commercialization, Investment in technological breakthrough  (106) International Global Work in Pharmaceutical  (188) Interventional Oncology: Radiofrequency Ablation, Transarterial Chemoembolization, Microwave Ablation and Irreversible Electroporation (IRE)  (12) Interviews with Scientific Leaders  (297)    Albany Medical Center Prize in Medicine and Biomedical Research  (1)    Annual Breakthrough Prize  (2)    Annual Lewis S. Rosenstiel Award  (1)    Awards in Cardiology and Cardiovascular Medicine  (3)    CEOs of Biotech Companies  (2)    Gerald D Aurbach Award for Outstanding Translational Research  (1)    Interviews with Key Opinion Leaders (KOLs)  (6)    James Prize in Science and Technology Integration  (1)    Jessie Stevenson Kovalenko Medal – Medical Sciences  (1)    Lemelson-MIT Prize  (1)    Life Sciences Breakthrough Prize  (2)    Mosteller Statistician of the Year Award  (1)    Mourning the Loss of a Scientific Leader  (2)    National Academy of Sciences AWARDS  (2)    Nobel Prize WInners  (20)    Noble Prize (Not Nobel Prize)  (1)    Paul Marks Prize for Cancer Research  (1)    Russ Prize recognizes bioengineering achievements worldwide  (1)    The Dan David Prize  (5)    Warren Alpert Foundation Prize Recipients  (3)    Wolf Prize  (1)    Wolf Prize in Medicine  (1)    women in science  (3) Investment in Technological Breakthrough  (59) Ionic Transporters Na+  (25) IP Development by LPBI Group Team  (9) IP Development by LPBI Group Team & Other Organizations  (7) 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  (13) Leadership, Power, Social Interlocking Connections  (13) Lipid metabolism  (108)    Fatty acids  (37)    Lipids  (37)    PCSK9 Inhibitor Therapy  (19) Lipidomics  (10) Liposome  (3) Liver & Digestive Diseases Research  (119) LPBI Group, e-Scientific Media, DFP, R&D-M3DP, R&D-Drug Discovery, US Patents: SOPs and Team Management  (128)    Award Nominations  (5)    BioMed e-Books e-Series by LPBI Group  (7)    Feedback from Investors: LPBI Portfolio of Five Businesses  (2)    LPBI Group Founder – Aviva Lev-Ari  (21)    PhD  (1)    RN  (1) LPBI Management  (15) Massachusetts Academy of Sciences (MAS)    (2) Materials Science & Engineering  (36)    Organic BioElectronics  (1) Math  (13)    Great Discoveries  (7) Mechanical Assist Devices: LVAD  (4) Medical and Population Genetics  (190) Medical Devices R&D Investment  (239)    21st Century Cures Act  (2)    CE Mark & Global Regulatory Affairs: process management and strategic planning – GCP  (13)    Rhythm management device hardware: dual-chamber pacemakers  (1)       Systolic HTN  (1) Medical Imaging Technology  (55) Medical Imaging Technology, Image Processing/Computing, MRI, CT, Nuclear Medicine, Ultra Sound  (160)    Circumferential-Intravascular-Radioluminescence-Photoacoustic-Imaging (CIRPI)  (3)    Echocardiography  (2)    MRI  (17)    Noninvasive Diagnostic Fractional Flow Reserve (FFR) CT  (5)    Ultra Sound  (7) Melatonin & Circadian Regulation  (9) memory loss  (1) Metabolism  (235)    Biochemical pathways  (141)       Enzymes and isoenzymes  (71)          Dehydrogenase  (15)          Kinase  (27)          Phosphatase  (8)          Phosphorylase  (21)          tyrosine decarboxylases  (2)    Inosine nucleotides  (8)    Leloir pathway  (6)    microbiome  (6)    Pentose monophosphate shunt  (14)    Pyridine nucleotides  (28)       Pyridine nucleotide transhydrogenase  (7) Metabolomics  (317) Methods  (37) Mg++  (10) Microbiologial genetics  (33) Microbiology  (67)    Virology  (14) Micronutrients  (15) Microvesicle  (6) Microwave Ablation and Irreversible Electroporation (IRE)  (1) Mobile Healthcare  (4) Molecular Genetics & Pharmaceutical  (374)    Organoids  (3) Monoclonal antibody therapy  (13) Mutant Gene Expression  (41) Myocardial adenine nucleotide metabolism  (5) Myocardial Ischemia  (25) Myocardial Metabolism  (35) Na-K transport  (39) Na-K-ATPase  (26) Nanotechnology for Drug Delivery  (96) Nephrology  (46) Nephrology & Regenerative medicine  (9) Neurodegenerative Diseases  (86)    hNPCs  (3)    MS  (5) Neurohumoral Transmission  (66)    Ca2+ triggered activation  (19)    Calmodulin  (12)    Parkinson’s disease dyskinesia levodopa  (3)    PKC  (13)    Synaptic vesicle  (20) Neurological Diseases  (120) Neuroscience  (126) Next Generation Sequencing (NGS)  (24)    Nanopore sequencing  (1) NIH Common Fund  (1) Nitric Oxide in Health and Disease  (135) Nuclear Medicine  (11) Nutrigenomics  (67) Nutrition  (193)    Nutritional Supplements: Atherogenesis, lipid metabolism  (48) Nutrition and Phytochemistry  (60)    Minerals in Medicine  (4)    Plant extract  (22) Nutrition Disorders  (29) Nutritional Supplements: Atherogenesis  (30) Obesity  (17) Oligonucleotide Therapeutics & Delivery  (6) Oncolytic virus & OncoViro-Therapy  (21)    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  (64)    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  (7) Patient Experience: Personal Memories of Invasive Medical Intervantion  (30) Patient’s Voice: Personal Experience with Invasive Medical Procedures  (18) Perioperative Statins at Noncardiac Surgery  (1) Personal Health Applications: Tech Innovations serves HealhCare  (35) Personalized and Precision Medicine & Genomic Research  (715)    Longevity  (1)    New Drug Approval  (4)    Patient-centered Medicine  (34)       cell-based therapy  (8)       stem cell biology and patient-specific  (6)    Personalized Medicine Coalition  (8)    Precision Cancer Medicine  (17) Phagophore  (1) Pharmaceutical Analytics  (258)    Pharmacologic toxicities  (61) Pharmaceutical Discovery  (106)    Rapid automation of plasma protein pools  (16) Pharmaceutical Drug Discovery  (194)    Drug Development Process  (51)       Drug Discovery Chemistry  (27)    drug repurposing  (8) Pharmaceutical Industry Competitive Intelligence  (338)    Pharmacovigilance  (6)    Value-based Drug Pricing  (8) Pharmaceutical R&D Informatics  (42) Pharmaceutical R&D Investment  (297) Pharmacodynamics and Pharmacokinetics  (23) Pharmacogenomics  (156) Photography Collection  (1) Physics  (12) Placenta  (7) Population genetics  (25) Population Health Management  (189)    Evolution of Biology Through Culture  (13)    U.S. Employment-to-Population Ratio  (8) Population Health Management, Genetics & Pharmaceutical  (620)    COVID-19  (155)       Biomarkers: Inflammation  (36)       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  (138)       Coronavirus Gene Expression  (65)          SARS-CoV-2 circulating variants   (14)          SARS-CoV-2 Viral Variants  (18)       Glycosylation and its Role in SARS-CoV-2 Viral Pathogenesis  (2)       Immune-Mediation (independent immunopathology: lung and reticuloendothelial system)  (29)       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  (150) Preimplantation Genetic Diagnosis and Reproductive Genomics  (12) Protein-energy malnutrition  (11) Proteomics  (359)    Amino acids  (51)    Proteins  (133) 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  (30) Regenerative Biology and Medicine  (91) Regulated Clinical Trials: Design, Methods, Components and IRB related issues  (265) Reproductive Andrology, Embryology, Genomic Endocrinology, Preimplantation Genetic Diagnosis and Reproductive Genomics  (111) Reproductive Biology & Bio Instrumentation  (76) RNA Biology  (79)    RNA interference (RNAi) therapeutic  (4) RNA Biology, Cancer and Therapeutics  (61) RVAD  (1) SBIR, SBA, NIH, NSF  (3) Schizophrenia  (16) Scientific & Biotech Conferences: Press Coverage  (172) Scientific Publishing  (606)    Curation  (583)       Curation methodology  (40)       De novo synthesis  (16)       Dialectic  (17)       Discovery process  (71)       Evolutionary cognition  (52)       Experimental validation  (90)       Explanatory  (91)       Historical relevance  (71)       Technology Advance Assessment of  (69)       Theoretic convergence  (27)    Open Access Journals  (36) Scientist: Career considerations  (193)    Big Data & Analytics  (14)    Data Science  (10)    Women in Life Sciences  (11) Scoop.it  (19) Sensors & Analytics  (17) Sepsis  (2) Severe Autism  (3) Signaling  (99)    Phosphorylation  (41)    S-nitrosylation  (12)    Ubiquitinylation  (32) Signaling & Cell Circuits  (128) single cell sequencing  (1) Small Molecules in Development of Therapeutic Drugs  (69) Social Development  (15) Specialized 3D BioPrinters (Cornea  (1) Statistical Methods for Research Evaluation  (136) Stem Cells for Regenerative Medicine  (174)    Cardiac muscle regeneration  (18)    Competition in regenerative stem cell science  (17)    Human neural progenitor cells  (7)    Skeletal muscle regeneration  (8) STORM  (2) Stress Disorders  (18) Substance Abuse  (4) Systemic Inflammatory Response Related Disorders  (158)    Inflammatory Pathophysiology  (6) Technology Transfer: Biotech and Pharmaceutical  (351) therapeutics  (2) Tissue Engineering and Regenerative Medicine  (21) Tissue Microenvironment  (3) Transarterial Chemoembolization  (2) Transcriptomics  (42) Transformative Technologies in Healthcare  (12) Translational Science  (223)    Best evidence  (52)    Bias measurement tools  (2)    Evidence-based decision-making  (26)    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  (88) Trends in Global Economy  (6) Uncategorized  (1,007) Unfolded Protein Response (UPR)  (5) US and Global Economy: Trends and Findings  (8) Venture Capital  (44)    Income Geographic Distribution  (2)    Institutional Capital Raised by Female Founders  (5) virology  (9) Vision  (6) Voices of Patients and Healthcare Providers  (21) Water Transporters  (7) Wearable Tech + Digital Health  (3) Anemia  (21) Neutropenia  (8) Neutrophilia  (9) Platelet count disorder  (9) Folate and B12  (7) Iron deficiency  (5) Myelodysplasia  (12) Myelofibrosis  (10)

• Meta

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

• • 2012pharmaceutical
  • Amandeep Kaur
  • Aashir Awan, Phd
  • Abhisar Anand
  • Adina Hazan
  • Alan F. Kaul, PharmD., MS, MBA, FCCP
  • alexcrystal6
  • anamikasarkar
  • apreconasia
  • aviralvatsa
  • David Orchard-Webb, PhD
  • danutdaagmailcom
  • Demet Sag, Ph.D., CRA, GCP
  • Dror Nir
  • dsmolyar
  • Ethan Coomber
  • evelinacohn
  • Gail S Thornton
  • Irina Robu
  • jayzmit48
  • jdpmd
  • jshertok
  • kellyperlman
  • Ed Kislauskis
  • larryhbern
  • Madison Davis
  • marzankhan
  • megbaker58
  • ofermar2020
  • Dr. Pati
  • pkandala
  • ritusaxena
  • Rick Mandahl
  • sjwilliamspa
  • Srinivas Sriram
  • stuartlpbi
  • Dr. Sudipta Saha
  • tildabarliya
  • vaishnavee24
  • zraviv06
  • zs22