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Real Time Conference Coverage: Advancing Precision Medicine Conference, Afternoon Omics Session Track 2 October 3 2025

Posted in Computational Biology/Systems and Bioinformatics, Metabolomics, Next Generation Sequencing (NGS), Personal Health Applications: Tech Innovations serves HealhCare, Personalized and Precision Medicine & Genomic Research, REAL TIME Conference Coverage Twitter's Hashtags and Handles per Presentation/session, SARS-CoV-2, Tissue Microenvironment, Transcriptomics, Transformative Technologies in Healthcare, Translational Science, Uncategorized, tagged BD Biosciences, bioengineering, multiomics, multiomics platforms, Signios Bio, spatial genomics, spatial proteomics, tumor microenvironment on October 3, 2025| 1 Comment »

Real Time Conference Coverage: Advancing Precision Medicine Conference, Afternoon Omics Session Track 2 October 3 2025

Reporter: Stephen J. Williams, PhD

Leaders in Pharmaceutical Business Intellegence will be covering this conference LIVE over X.com at

@pharma_BI

@StephenJWillia2

@AVIVA1950

@AdvancingPM

using the following meeting hashtags

#AdvancingPM #precisionmedicine #WINSYMPO2025

4:20-4:40

Jared K. Burks, PhD, Director, Flow Cytometry & Cell Imaging Core Facility, Department of Hematopoietic Biology & Malignancies,Division of Cancer Medicine; Associate Director of Shared Resources CCSG, Department of CCSG; Professor, Department of Hematopoietic Biology & Malignancies, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX

 

• APOE was marker for defining a long term survivor and short term survivor for ovarian cancer patients; the markers were in the stroma
• there is spatial communication between tumor and underlying stroma
• it is imperative to understand how your multiomics equipment images a tumor area before it laser captures and send to the MS system; can lose a lot of tissue and information based on differences in resolution
• many of these multiomics systems are validated for the clinic in EU not US
• multiomics spatial analysis allows you to image protein, metabolite, mRNA expression in the 3 dimensional environment of the tumor (tumor cells and stroma)
• they are making a human tumor atlas
• they say a patient who had tumor went home during COVID and took vaccine but got ill with vaccine; but came back to check tumor and tumor had greatly regressed because prevaccine the tumor was immunologically cold and post COVID vaccine any left over tumor showed great infiltration of immune cells

4:40-4:55

Aruna Ayer, PhD, VP, Multiomics, Innovation and Scientific Affairs, BD Biosciences

• BD Bioscience multiomics platform is modular and can add more omics levels in the platorm
• for example someone wanted to look at T cells
• people have added CRISPR screens on the omics platform
• most people are using single cell spatial omics
• they have a FACS on their platform too so you can look at single cell spatial omics and sort different cellular populations
• very comparative to 10X Genomics platform
• their proteomics is another layer you can add on their platform however with proteomics you can high background notice with spatial proteomics or a limited panel of biomarkers
• Their OMICS Protein One panels are optimized for biology and tumor type.
• get high quality multiomics data and proteomics data but in a 3D spatial format
• developed Cellismo Data Visualization software tool

4:55-5:10

Harsha Gowda, PhD, Senior Principal Scientist, Director, Research & Lab Operations, Signios Bio

Signios Biosciences (Signios Bio) is the US-based arm of MedGenome, a global leader in genetic testing services, genomics research, and drug discovery solutions.

Signios Bio is a multiomics and bioinformatics company dedicated to revealing the intricate signals within biological data. We leverage the power of multiomics—integrating data from genomics, transcriptomics, proteomics, epigenomics, metabolomics, and microbiomics—to gain a comprehensive understanding of disease biology. Our AI-powered bioinformatics platform allows us to efficiently analyze these complex datasets, uncovering hidden patterns and accelerating the development of new therapies and diagnostics.

Through the integration of cutting-edge multiomics technologies, advanced bioinformatics, and the expertise of world-class scientists, we enable researchers and clinicians with comprehensive, end-to-end solutions to improve drug discovery and development and advance precision medicine.

As part of MedGenome, we have access to real-world evidence (RWE) from global research networks across the US, Europe, Asia, Africa, Middle East, and Latin America. This access enables us to work with our partners to uncover insights that can lead to new biomarkers and drug targets, ensuring that precision medicine is inclusive and effective for all.

https://www.signiosbiolcom 

• their platform can do high throughput analysis of patient tumors (like gallbladder cancer) analyzing mutational spectrum with high dimensionality
• they can integrate genomic and transcriptomics data to reveal multiple pathways affected in patient data
• have used their platform to investigate spatial omics in lung cancer

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Real Time Conference Coverage: Advancing Precision Medicine Conference,Morning Session Track 1 October 3 2025

Posted in Biological Networks, Cancer Genomics, Clinical Genomics, Evidence-based decision-making, Nobel Prize Winners, REAL TIME Conference Coverage Twitter's Hashtags and Handles per Presentation/session, Single Cell Genomics, Transcriptomics, Translational Research, Translational Science, tagged Advancing Precision Medicine, biomedical collaboration, gene expression profiling, genomics, HIF-1a, international consortium, liquid biopsy, mutational specrum, nobel leureates, oncogenes, Personalized and Precision Medicine & Genomic Research, Transcriptomics, Warburg Effect on October 3, 2025| Leave a Comment »

Real Time Conference Coverage: Advancing Precision Medicine Conference,Morning Session Track 1 October 3 2025

Reporter: Stephen J. Williams, PhD

Leaders in Pharmaceutical Business Intellegence will be covering this conference LIVE over X.com at

@pharma_BI

@StephenJWillia2

@AVIVA1950

@AdvancingPM

using the following meeting hashtags

#AdvancingPM #precisionmedicine #WINSYMPO2025

 

Agenda Track 1: WIN Symposium

WIN SYMPOSIUM

Co-Chairs

Wafik S. El-Deiry, MD, PhD, FACP, Chair, WIN Consortium, Director, Legorreta Cancer Center Brown University, Director, Joint Program in Cancer Biology, Brown University and Brown University Health; Associate Dean, Oncologic Sciences, Warren Alpert Medical School, Brown University; Attending Physician, Hematology/Oncology, Brown University Health Mencoff Family University; Professor of Medical Science, Professor of Pathology and Laboratory Medicine, Brown University; Professor, American Cancer Society Research Professor

Razelle Kurzrock, MD, FACP, Chief Medical Officer, WIN Consortium; Professor of Medicine, Associate Director, Clinical Research, Linda T. and John A. Mellowes Chair of Precision Oncology, MCW Cancer Center and Linda T. & John A. Mellowes Center for Genomic Sciences and Precision Medicine

MULTI-OMICS

Chair

Arutha Kulasinghe, PhD, Associate Professor, Frazer Institute, University of Queensland; Founding Scientific Director, Queensland Spatial Biology Centre

8:40 – 9:00

Welcome and Introduction

Wafik S. El-Deiry, MD, PhD, FACP, Chair, WIN Consortium, Director, Legorreta Cancer Center Brown University, Director, Joint Program in Cancer Biology, Brown University and Brown University Health; Associate Dean, Oncologic Sciences, Warren Alpert Medical School, Brown University; Attending Physician, Hematology/Oncology, Brown University Health Mencoff Family University; Professor of Medical Science, Professor of Pathology and Laboratory Medicine, Brown University; Professor,American Cancer Society Research Professor

Dr. El-Diery welcomes all to this joint symposium with Advancing Precision Medicine and the Win Consortium, which he is currently the head of.  More in the WIN Consortium: (Worldwide Innovation Network Consortium in Precision Oncology).  The WIN Network  is involved in setting up internationalclinical tumor board collaboration

Source: https://winconsortium.org/ 

WIN was formed on the premise that we can accomplish more together than each organization can achieve working alone. We aim to improve cancer patients’ survival and quality of life. View WIN’s history and unique attributes:

• 01
  WIN History
• 02
  Diversity of Stakeholders – WIN Members
• 03
  Studies with a diverse, gender equality global population
• 04
  Sharing information to promote use of personalized, targeted cancer therapy: WIN Symposia

---

Clinical trials, projects and publications

WIN members collaboratively design and carry out global studies designed to achieve breakthroughs for patients worldwide. Our distinguished Scientific Advisory Board oversees WIN studies. Current trials include:

• 01
  Identification of a central network hub of key prognostic genes based on correlation between transcriptomics and survival in patients with metastatic solid tumors
• 02
  Digital Display Precision Predictor: the prototype of a global biomarker model to guide treatments
• 03
  SPRING – Landmark Lung Cancer Tri-Therapy Clinical Trial
• 04
  WINTHER: the WIN Consortium’s first global personalized medicine clinical trial, published in Nature Medicine

View a summary of the WIN Consortium here:

Click to access Brochure_WIN_v24.0_2025_08_13__.pdf

They guide WIN’s strategic, operational, and scientific direction.

OrganizationThe WIN Consortium is organized in the following groups who collectively work together to achieve WIN’s common goals

 

 

Nigel Russell, Founder and CEO, Advancing Precision Medicine

Christopher P. Molineaux, President & Chief Executive Officer, Life Science Pennsylvania

Life Sciences Pennsylvania (LSPA) is the statewide trade association for the commonwealth’s life sciences industry. Founded in 1989, LSPA works to ensure Pennsylvania has a business and public policy climate that makes the commonwealth the most attractive location to open and operate a life sciences company. Our membership is comprised of organizations statewide, representing the entire ecosystem of the life sciences: research institutions, biotechnology, medical device, diagnostic, pharmaceutical, and investment entities, along with service providers who support the industry. Together, we unify Pennsylvania’s innovators to make the Commonwealth a global life sciences leader.

As president & CEO of Life Sciences Pennsylvania, Christopher Molineaux serves as the chief advocate and spokesman for the life sciences industry that calls Pennsylvania home. Molineaux oversees the strategic direction for the association, assuring Life Sciences Pennsylvania continues to be the catalyst that makes Pennsylvania the top location for life sciences companies.

Molineaux brings to Life Sciences Pennsylvania more than 25 years of experience in the bio-pharmaceutical and health care industries, with front-line experience in developing and executing strategies to navigate a shifting economic and political environment.

9:00-9:40

Keynote Lecture – WIN Consortium

Targeting the Achilles’ Heel of Cancer: Synthetic Lethality and Hypoxia in Precision Oncology

William G. Kaelin, Jr, MD,  2019 Nobel Laureate, Sidney Farber Professor, Harvard Medical School and Dana-Farber Cancer Institute

William Kaelin was born in New York City. He studied chemistry and mathematics at Duke University in Durham, North Carolina, and received his doctor of medicine degree there in 1982. He then did his residency at Johns Hopkins University in Baltimore, Maryland. In 2002 he became a professor at Harvard Medical School in Cambridge, Massachusetts.

Work

 

Animals need oxygen for the conversion of food into useful energy. The importance of oxygen has been understood for centuries, but how cells adapt to changes in levels of oxygen has long been unknown. William Kaelin, Peter Ratcliffe, and Gregg Semenza discovered how cells can sense and adapt to changing oxygen availability. During the 1990s they identified a molecular machinery that regulates the activity of genes in response to varying levels of oxygen. The discoveries may lead to new treatments of anemia, cancer and many other diseases.

TRACK 1  204BC

 

WIN SYMPOSIUM

MULTI-OMICS

9:40 – 10:40

SESSION 1

From Base Pairs To Better Care:

AI and Omics in Precision Oncology

9:40-10:00

Multi-Omic Profiling and Clinical Decision Support in Precision Oncology

David Spetzler, PhD, MBA, MS,  President, Caris Life Sciences

10:00-10:20

Integrating Omics and AI for Next-Gen Precision Oncology

Keith T. Flaherty, MD, FAACR, Director of Clinical Research, Massachusetts General Cancer Center; Professor of Medicine, Harvard Medical School;
President-Elect: 2025-2026, American Association for Cancer Research (AACR) 

10:20-10:40

Real-World Data and AI in Precision Oncology: Making Data Work for Patients – Q&A

MODERATOR: Jeff Elton, PhD, Vice Chairman, Founding CEO
ConcertAI

PANELISTS: David Spetzler, PhD, MBA, MS, President, Caris Life Sciences

Keith T. Flaherty, MD, FAACR, Director of Clinical Research, Massachusetts General Cancer Center; Professor of Medicine, Harvard Medical School;
President-Elect: 2025-2026, American Association for Cancer Research (AACR) 

0:40 – 11:10

Break and Exhibits

TRACK 1  204BC

TRACK 2  204A

WIN SYMPOSIUM

MULTI-OMICS

11:10 – 1:10

SESSION 2

The Evolution of Precision Oncology:

Integrating MRD, AI, and Beyond

11:10-12:00

Precision Cancer Consortium

Gabriele Allegri, MBA, Vice President, Global Commercial Precision Medicine, Johnson & Johnson Innovative Medicine

Shruti Mathur, MS, Pharma Diagnostic Strategy Leader, Global Product Strategy (GPS), Genentech

Daryl Pritchard, PhD, Interim President, Personalized Medicine Coalition

Keith T. Flaherty, MD, FAACR, Director of Clinical Research, Massachusetts General Cancer Center; Professor of Medicine, Harvard Medical School;
President-Elect: 2025-2026, American Association for Cancer Research (AACR) 

SESSION 3

The Shifting Landscape:

Tumor Plasticity and Resistance

12:00-12:20

Mathematical and Evolutionary Modeling in Precision Radiation Oncology

Jacob Scott, MD, DPhil, Professor and Staff Physician-Scientist, CWRU School of Medicine and Cleveland Clinic

12:20-12:40

Plasticity and Persistence: The Role of EMT in Cancer Progression and Therapy Resistance

Sendurai A. Mani, PhD, Professor of Pathology and Laboratory Medicine, Brown University; Associate Director of Translational Oncology, Brown University Legorreta Cancer Center

12:40-1:00

Targeting Molecularly Defined Subsets: Challenges in Translational Oncology

Benedito A. Carneiro, MD, MS, Director, Clinical Research
Director, Cancer Drug Development; Associate Director, Division of Hematology/Oncology
Legorreta Cancer Center, Brown University Health

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Eight Subcellular Pathologies driving Chronic Metabolic Diseases – Methods for Mapping Bioelectronic Adjustable Measurements as potential new Therapeutics: Impact on Pharmaceuticals in Use

Posted in Acute Myocardial Infarction, Adaptive Immune Response to Biomaterials and Tissue Repair, Advanced Drug Manufacturing Technology, Amino acids, Apoptosis, Apoptosis, Artificial intelligence applications for cardiology, Artificial Intelligence in Medicine - Application for Diagnosis, Artificial Intelligence in Medicine - Applications in Therapeutics, Atherogenic Processes & Pathology, Autoimmune Inflammatory DIseases, Autologous Cell Therapy, Automated Cell Processing, Autophagosome, Autophagy, Autophagy-Modulating Proteins, “Antibody–enzyme conjugates”, Bio Instrumentation in Experimental Life Sciences Research, Biochemical pathways, Bioengineering & reverse engineering design, Biological Engineering, Biomarkers & Medical Diagnostics, Biomedical Measurement Science, Ca2+ triggered activation, Calcium Signaling, Calmodulin, Calmodulin Kinase and Contraction, Cancer - General, Cardiac muscle regeneration, Cardiovascular Pharmacogenomics, Cell Biology, Signaling & Cell Circuits, 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Systemic Inflammatory Response Related Disorders, Technology Transfer: Biotech and Pharmaceutical, therapeutics, Tissue Engineering and Regenerative Medicine, Tissue Microenvironment, Tolerance-inducing Autoimmune Disease Therapeutics, Transcriptomics, Transformative Technologies in Healthcare, Translational Research, tyrosine decarboxylases, Ubiquitin, Ubiquitinylation, Unfolded Protein Response (UPR), Universal Immune Cell Therapies (uICT), Variation in human protein-coding regions, Vascular Diseases, Water Transporters on August 19, 2023| Leave a Comment »

Eight Subcellular Pathologies driving Chronic Metabolic Diseases – Methods for Mapping Bioelectronic Adjustable Measurements as potential new Therapeutics: Impact on Pharmaceuticals in Use

Curators:

• Cardiovascular Expertise – Dr. Justin D. Pearlman, MD, PhD, FACC
• Pharmacology and Oncology Expertise – Dr. Stephen J. Williams, PhD
• Principal Investigator, initiator of the project – Aviva Lev-Ari, PhD, RN

 

THE VOICE of Aviva Lev-Ari, PhD, RN

In this curation we wish to present two breaking through goals:

Goal 1:

Exposition of a new direction of research leading to a more comprehensive understanding of Metabolic Dysfunctional Diseases that are implicated in effecting the emergence of the two leading causes of human mortality in the World in 2023: (a) Cardiovascular Diseases, and (b) Cancer

Goal 2:

Development of Methods for Mapping Bioelectronic Adjustable Measurements as potential new Therapeutics for these eight subcellular causes of chronic metabolic diseases. It is anticipated that it will have a potential impact on the future of Pharmaceuticals to be used, a change from the present time current treatment protocols for Metabolic Dysfunctional Diseases.

According to Dr. Robert Lustig, M.D, an American pediatric endocrinologist. He is Professor emeritus of Pediatrics in the Division of Endocrinology at the University of California, San Francisco, where he specialized in neuroendocrinology and childhood obesity, there are eight subcellular pathologies that drive chronic metabolic diseases.

These eight subcellular pathologies can’t be measured at present time.

In this curation we will attempt to explore methods of measurement for each of these eight pathologies by harnessing the promise of the emerging field known as Bioelectronics.

Unmeasurable eight subcellular pathologies that drive chronic metabolic diseases

1. Glycation
2. Oxidative Stress
3. Mitochondrial dysfunction [beta-oxidation Ac CoA malonyl fatty acid]
4. Insulin resistance/sensitive [more important than BMI], known as a driver to cancer development
5. Membrane instability
6. Inflammation in the gut [mucin layer and tight junctions]
7. Epigenetics/Methylation
8. Autophagy [AMPKbeta1 improvement in health span]

Diseases that are not Diseases: no drugs for them, only diet modification will help

Image source

Robert Lustig, M.D. on the Subcellular Processes That Belie Chronic Disease

https://www.youtube.com/watch?v=Ee_uoxuQo0I

 

Exercise will not undo Unhealthy Diet

Image source

Robert Lustig, M.D. on the Subcellular Processes That Belie Chronic Disease

https://www.youtube.com/watch?v=Ee_uoxuQo0I

 

These eight Subcellular Pathologies driving Chronic Metabolic Diseases are becoming our focus for exploration of the promise of Bioelectronics for two pursuits:

1. Will Bioelectronics be deemed helpful in measurement of each of the eight pathological processes that underlie and that drive the chronic metabolic syndrome(s) and disease(s)?
2. IF we will be able to suggest new measurements to currently unmeasurable health harming processes THEN we will attempt to conceptualize new therapeutic targets and new modalities for therapeutics delivery – WE ARE HOPEFUL

In the Bioelecronics domain we are inspired by the work of the following three research sources:

1. Biological and Biomedical Electrical Engineering (B2E2) at Cornell University, School of Engineering https://www.engineering.cornell.edu/bio-electrical-engineering-0
2. Bioelectronics Group at MIT https://bioelectronics.mit.edu/
3. The work of Michael Levin @Tufts, The Levin Lab

Michael Levin is an American developmental and synthetic biologist at Tufts University, where he is the Vannevar Bush Distinguished Professor. Levin is a director of the Allen Discovery Center at Tufts University and Tufts Center for Regenerative and Developmental Biology. Wikipedia

Born: 1969 (age 54 years), Moscow, Russia

Education: Harvard University (1992–1996), Tufts University (1988–1992)

Affiliation: University of Cape Town

Research interests: Allergy, Immunology, Cross Cultural Communication

Awards: Cozzarelli prize (2020)

Doctoral advisor: Clifford Tabin

Fields: Developmental biology, synthetic biology

SOURCE

https://www.google.com/search?q=Michael+Levin+%40Tufts&oq=Michael+Levin+%40Tufts&aqs=chrome..69i57j69i58.894128314j0j15&sourceid=chrome&ie=UTF-8

Most recent 20 Publications by Michael Levin, PhD

SOURCE

https://facultyprofiles.tufts.edu/michael-levin-1/publications

SCHOLARLY ARTICLE

The nonlinearity of regulation in biological networks

1 Dec 2023npj Systems Biology and Applications9(1)

Co-authorsManicka S, Johnson K, Levin M…1 more

VIEW PDF10.1038/S41540-023-00273-W

3

SCHOLARLY ARTICLE

Toward an ethics of autopoietic technology: Stress, care, and intelligence

1 Sep 2023BioSystems231

Co-authorsWitkowski O, Doctor T, Solomonova E…2 more

VIEW PDF10.1016/J.BIOSYSTEMS.2023.104964

SCHOLARLY ARTICLE

Closing the Loop on Morphogenesis: A Mathematical Model of Morphogenesis by Closed-Loop Reaction-Diffusion

14 Aug 2023Frontiers in Cell and Developmental Biology11:1087650

Co-authorsGrodstein J, McMillen P, Levin M

VIEW PDF10.3389/FCELL.2023.1087650

SCHOLARLY ARTICLE

Correcting instructive electric potential patterns in multicellular systems: External actions and endogenous processes.

30 Jul 2023Biochim Biophys Acta Gen Subj1867(10):130440

Co-authorsCervera J, Levin M, Mafe S

VIEW MORE INFO10.1016/J.BBAGEN.2023.130440

SCHOLARLY ARTICLE

Regulative development as a model for origin of life and artificial life studies

1 Jul 2023BioSystems229

Co-authorsFields C, Levin M

10.1016/J.BIOSYSTEMS.2023.104927

1

SCHOLARLY ARTICLE

The Yin and Yang of Breast Cancer: Ion Channels as Determinants of Left–Right Functional Differences

1 Jul 2023International Journal of Molecular Sciences24(13)

Co-authorsMasuelli S, Real S, McMillen P…3 more

VIEW PDF10.3390/IJMS241311121

SCHOLARLY ARTICLE

Bioelectricidad en agregados multicelulares de células no excitables- modelos biofísicos

Jun 2023Revista Española de Física32(2)

Co-authorsCervera J, Levin M, Mafé S

SCHOLARLY ARTICLE

Bioelectricity: A Multifaceted Discipline, and a Multifaceted Issue!

1 Jun 2023Bioelectricity5(2):75

Co-authorsDjamgoz MBA, Levin M

10.1089/BIOE.2023.0022.EDITORIAL

SCHOLARLY ARTICLE

Control Flow in Active Inference Systems – Part I: Classical and Quantum Formulations of Active Inference

1 Jun 2023IEEE Transactions on Molecular, Biological, and Multi-Scale Communications9(2):235-245

Co-authorsFields C, Fabrocini F, Friston K…4 more

10.1109/TMBMC.2023.3272150

2

SCHOLARLY ARTICLE

Control Flow in Active Inference Systems – Part II: Tensor Networks as General Models of Control Flow

1 Jun 2023IEEE Transactions on Molecular, Biological, and Multi-Scale Communications9(2):246-256

Co-authorsFields C, Fabrocini F, Friston K…4 more

10.1109/TMBMC.2023.3272158

2

SCHOLARLY ARTICLE

Darwin’s agential materials: evolutionary implications of multiscale competency in developmental biology

1 Jun 2023Cellular and Molecular Life Sciences80(6)

Co-authorsLevin M

VIEW PDF10.1007/S00018-023-04790-Z

1

SCHOLARLY ARTICLE

Morphoceuticals: Perspectives for discovery of drugs targeting anatomical control mechanisms in regenerative medicine, cancer and aging

1 Jun 2023Drug Discovery Today28(6)

Co-authorsPio-Lopez L, Levin M

VIEW PDF10.1016/J.DRUDIS.2023.103585

1

SCHOLARLY ARTICLE

Morphoceuticals: Perspectives for discovery of drugs targeting anatomical control mechanisms in regenerative medicine, cancer and aging

Jun 2023DRUG DISCOVERY TODAY28(6):1-13

Co-authorsPio-Lopez L, Levin M

VIEW MORE INFO10.1016/J.DRUDIS.2023.103585THIS

SCHOLARLY ARTICLE

Cellular signaling pathways as plastic, proto-cognitive systems: Implications for biomedicine

12 May 2023Patterns4(5)

Co-authorsMathews J, Chang A, Devlin L…1 more

VIEW PDF10.1016/J.PATTER.2023.100737

3

SCHOLARLY ARTICLE

Making and breaking symmetries in mind and life

14 Apr 2023Interface Focus13(3)

Co-authorsSafron A, Sakthivadivel DAR, Sheikhbahaee Z…3 more

VIEW PDF10.1098/RSFS.2023.0015

SCHOLARLY ARTICLE

The scaling of goals from cellular to anatomical homeostasis: an evolutionary simulation, experiment and analysis

14 Apr 2023Interface Focus13(3)

Co-authorsPio-Lopez L, Bischof J, LaPalme JV…1 more

VIEW PDF10.1098/RSFS.2022.0072

1

SCHOLARLY ARTICLE

The collective intelligence of evolution and development

Apr 2023Collective Intelligence2(2):263391372311683SAGE Publications

Co-authorsWatson R, Levin M

VIEW PDF10.1177/26339137231168355

SCHOLARLY ARTICLE

Bioelectricity of non-excitable cells and multicellular pattern memories: Biophysical modeling

13 Mar 2023Physics Reports1004:1-31

Co-authorsCervera J, Levin M, Mafe S

10.1016/J.PHYSREP.2022.12.003

2

SCHOLARLY ARTICLE

There’s Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-Scale Machines

1 Mar 2023Biomimetics8(1)

Co-authorsBongard J, Levin M

VIEW PDF10.3390/BIOMIMETICS8010110

4

SCHOLARLY ARTICLE

Transplantation of fragments from different planaria: A bioelectrical model for head regeneration

7 Feb 2023Journal of Theoretical Biology558

Co-authorsCervera J, Manzanares JA, Levin M…1 more

VIEW PDF10.1016/J.JTBI.2022.111356

SCHOLARLY ARTICLE

Bioelectric networks: the cognitive glue enabling evolutionary scaling from physiology to mind

1 Jan 2023Animal Cognition

Co-authorsLevin M

VIEW PDF10.1007/S10071-023-01780-3

2

SCHOLARLY ARTICLE

Biological Robots: Perspectives on an Emerging Interdisciplinary Field

1 Jan 2023Soft Robotics

Co-authorsBlackiston D, Kriegman S, Bongard J…1 more

10.1089/SORO.2022.0142

1

SCHOLARLY ARTICLE

Cellular Competency during Development Alters Evolutionary Dynamics in an Artificial Embryogeny Model

1 Jan 2023Entropy25(1)

Co-authorsShreesha L, Levin M

VIEW PDF10.3390/E25010131

5

SCHOLARLY ARTICLE

Endless forms most beautiful 2.0: teleonomy and the bioengineering of chimaeric and synthetic organisms (July, blac073, 2022)

1 Jan 2023BIOLOGICAL JOURNAL OF THE LINNEAN SOCIETY138(1):141

Co-authorsClawson WP, Levin M

VIEW PDFVIEW MORE INFO10.1093/BIOLINNEAN/BLAC116

SCHOLARLY ARTICLE

Future medicine: from molecular pathways to the collective intelligence of the body

1 Jan 2023Trends in Molecular Medicine

Co-authorsLagasse E, Levin M

10.1016/J.MOLMED.2023.06.007

THE VOICE of Dr. Justin D. Pearlman, MD, PhD, FACC

PENDING

THE VOICE of  Stephen J. Williams, PhD

Ten TakeAway Points of Dr. Lustig’s talk on role of diet on the incidence of Type II Diabetes

 

1. 25% of US children have fatty liver
2. Type II diabetes can be manifested from fatty live with 151 million  people worldwide affected moving up to 568 million in 7 years
3. A common myth is diabetes due to overweight condition driving the metabolic disease
4. There is a trend of ‘lean’ diabetes or diabetes in lean people, therefore body mass index not a reliable biomarker for risk for diabetes
5. Thirty percent of ‘obese’ people just have high subcutaneous fat.  the visceral fat is more problematic
6. there are people who are ‘fat’ but insulin sensitive while have growth hormone receptor defects.  Points to other issues related to metabolic state other than insulin and potentially the insulin like growth factors
7. At any BMI some patients are insulin sensitive while some resistant
8. Visceral fat accumulation may be more due to chronic stress condition
9. Fructose can decrease liver mitochondrial function
10. A methionine and choline deficient diet can lead to rapid NASH development

 

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Live Conference Coverage @Medcitynews Converge 2018 Philadelphia: Early Diagnosis Through Predictive Biomarkers, NonInvasive Testing

Posted in Alzheimer's Disease, Big Data, Big Data & Analytics, BioBanking, Biomarkers & Medical Diagnostics, Cancer and Current Therapeutics, Cancer Informatics, Cancer Screening, Diagnostics and Lab Tests, Meta-analysis of transcriptome data, Pharmaceutical Industry Competitive Intelligence, Pharmacotherapy and Cell Activity, Scientific & Biotech Conferences: Press Coverage, Transcriptomics, Uncategorized, tagged AD biomarkers, cancer biomarkers, clinical trial 2.0, innovations in cancer detection, multiple schlerosis, oncoproteomics, Predictive Cancer Biomarkers, Proteomics, Transcriptomics on July 11, 2018| Leave a Comment »

5:00 – 5:45 PM Early Diagnosis Through Predictive Biomarkers, NonInvasive Testing

Reporter: Stephen J. Williams, Ph.D.

 

Diagnosing cancer early is often the difference between survival and death. Hear from experts regarding the new and emerging technologies that form the next generation of cancer diagnostics.

Moderator: Heather Rose, Director of Licensing, Thomas Jefferson University
Speakers:
Bonnie Anderson, Chairman and CEO, Veracyte @BonnieAndDx
Kevin Hrusovsky, Founder and Chairman, Powering Precision Health @KevinHrusovsky

Bonnie Anderson and Veracyte produces genomic tests for thyroid and other cancer diagnosis.  Kevin Hrusovksy and Precision Health uses peer reviewed evidence based medicine to affect precision medicine decision.

Bonnie: aim to get a truth of diagnosis.  Getting tumor tissue is paramount as well as properly preserved tissue.  They use deep RNA sequencing  and machine learning  in their clinically approved tests.

Kevin: Serial biospace entrepreneur.  Two diseases, cancer and neurologic, have been diseases which have been hardest to get reproducible and validated biomarkers of early disease.  He concentrates on protein biomarkers.

Heather:  FDA has recently approved drugs for early disease intervention.  However the use of biomarkers can go beyond patient stratification in clinical trials.

Kevin: 15 approved drugs for MS but the markers are scans looking for brain atrophy which is too late of an endpoint.  So we need biomarkers of early disease progression.  We can use those early biomarkers of disease progression so pharma can target those early biomarkers and or use those early biomarkers of disease progression  for endpoint

Bonnie: exciting time in the early diagnostics field. She prefers transcriptomics to DNA based methods such as WES or WGS (whole exome or whole genome sequencing).  It was critical to show data on the cost savings imparted by their transcriptomic based thryoid cancer diagnostic test for payers to consider this test eligible for reimbursement.

Kevin: There has been 20 million  CAT scans for  cancer but it is estimated 90% of these scans led to misdiagnosis. Biomarker  development  has revolutionized diagnostics in this disease area.  They have developed a breakthrough panel of ten protein biomarkers in serum which he estimates may replace 5 million mammograms.

All panelists agreed on the importance of regulatory compliance and the focus of new research should be on early detection.  In addition they believe that Dr. Gotlieb’s appointment to the FDA is a positive for the biomarker development field, as Dr. Gotlieb understands the potential and importance of early detection and prevention of disease.  Kevin also felt Dr. Gotlieb understands the importance of incorporating biomarkers as endpoints in clinical trials.  Over 750 phase 1,2, and 3 clinical trials use biomarker endpoints but the pharma companies still need to prove the biomarkers clinical relevance to the FDA.They also agreed it would be helpful to involve advocacy groups in putting more pressure on the healthcare providers and policy makers on this importance of diagnostics as a preventative measure.

In addition, the discovery and use of biomarkers as disease endpoints has led to a resurgence of Alzheimer’s disease drug development by companies which have previously given up on these type of neurodegenerative diseases.

Kevin feels proteomics offers great advantages over DNA-based diagnostics, especially in cancer such as ovarian cancer, where a high degree of specificity for a diagnostic test is required to ascertain if a woman should undergo prophylactic oophorectomy.  He suggests that a new blood-based protein biomarker panel is being developed for early detection of some forms of ovarian cancer.

Please follow on Twitter using the following #hash tags and @pharma_BI

#MCConverge

#cancertreatment

#healthIT

#innovation

#precisionmedicine

#healthcaremodels

#personalizedmedicine

#healthcaredata

And at the following handles:

@pharma_BI

@medcitynews

 

Please see related articles on Live Coverage of Previous Meetings on this Open Access Journal

LIVE – Real Time – 16th Annual Cancer Research Symposium, Koch Institute, Friday, June 16, 9AM – 5PM, Kresge Auditorium, MIT

Real Time Coverage and eProceedings of Presentations on 11/16 – 11/17, 2016, The 12th Annual Personalized Medicine Conference, HARVARD MEDICAL SCHOOL, Joseph B. Martin Conference Center, 77 Avenue Louis Pasteur, Boston

Tweets Impression Analytics, Re-Tweets, Tweets and Likes by @AVIVA1950 and @pharma_BI for 2018 BioIT, Boston, 5/15 – 5/17, 2018

BIO 2018! June 4-7, 2018 at Boston Convention & Exhibition Center

https://pharmaceuticalintelligence.com/press-coverage/

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How to distinguish between viral, bacterial infections: New Tool developed @University of Rochester Medical Center

Posted in Antibiotic resistance, Diagnostics and Lab Tests, Disease Biology, Genetics & Innovations in Treatment, Genetics & Pharmaceutical, Genome Biology, Genomic Testing: Methodology for Diagnosis, Infectious Disease & New Antibiotic Targets, Infectious Disease Immunodiagnostics, Transcriptomics, Viral diseases, Virology - Vector-borne DIsease, tagged Lower respiratory tract infection (LRTI) on August 2, 2017| Leave a Comment »

How to distinguish between viral, bacterial infections: New Tool developed @University of Rochester Medical Center

Curator: Aviva Lev-Ari, PhD, RN

www.urmc.rochester.edu/research

 

Transcriptomic Biomarkers to Discriminate Bacterial from Nonbacterial Infection in Adults Hospitalized with Respiratory Illness

• Soumyaroop Bhattacharya,
• Alex F. Rosenberg,
• Derick R. Peterson,
• Katherine Grzesik,
• Andrea M. Baran,
• John M. Ashton,
• Steven R. Gill,
• Anthony M. Corbett,
• Jeanne Holden-Wiltse,
• David J. Topham,
• Edward E. Walsh,
• Thomas J. Mariani &
• Ann R. Falsey

• Scientific Reports 7, Article number: 6548(2017)
• doi:10.1038/s41598-017-06738-3
• Download Citation
  • Molecular biology
  • Molecular medicine

Published online: 26 July 2017

URMC Researchers Developing New Tool to Fight Antibiotic Resistance

Goal is to Distinguish Between Viral and Bacterial Infections, Reduce Unnecessary Use of Antibiotics

Friday, July 28, 2017

“It’s extremely difficult to interpret what’s causing a respiratory tract infection, especially in very ill patients who come to the hospital with a high fever, cough, shortness of breath and other concerning symptoms,” said Ann R. Falsey, M.D., lead study author, professor and interim chief of the Infectious Diseases Division at UR Medicine’s Strong Memorial Hospital.

“My goal is to develop a tool that physicians can use to rule out a bacterial infection with enough certainty that they are comfortable, and their patients are comfortable, foregoing an antibiotic.”

Ann R. Falsey, M.D.

Falsey’s project caught the attention of the federal government; she’s one of 10 semifinalists in the Antimicrobial Resistance Diagnostic Challenge, a competition sponsored by NIH and the Biomedical Advanced Research and Development Authority to help combat the development and spread of drug resistant bacteria. Selected from among 74 submissions, Falsey received $50,000 to continue her research and develop a prototype diagnostic test, such as a blood test, using the genetic markers her team identified.

SOURCE

https://www.urmc.rochester.edu/news/story/5108/urmc-researchers-developing-new-tool-to-fight-antibiotic-resistance.aspx

Lower respiratory tract infection (LRTI)

We enrolled 94 subjects who were microbiologically classified; 53 as “non-bacterial” and 41 as “bacterial”. RNAseq and qPCR confirmed significant differences in mean expression for 10 genes previously identified as discriminatory for bacterial LRTI. A novel dimension reduction strategy selected three pathways (lymphocyte, α-linoleic acid metabolism, IGF regulation) including eleven genes as optimal markers for discriminating bacterial infection (naïve AUC = 0.94; nested CV-AUC = 0.86). Using these genes, we constructed a classifier for bacterial LRTI with 90% (79% CV) sensitivity and 83% (76% CV) specificity. This novel, pathway-based gene set displays promise as a method to distinguish bacterial from nonbacterial LRTI.

https://www.nature.com/articles/s41598-017-06738-3#Sec8

IMAGE SOURCE

https://www.nature.com/articles/s41598-017-06738-3#Sec8

 

SOURCES

http://sciencemission.com/site/index.php?page=news&type=view&id=microbiology-virology%2Fnew-tool-to-distinguish&filter=8%2C9%2C10%2C11%2C12%2C13%2C14%2C16%2C17%2C18%2C19%2C20%2C27&redirected=1&redirected=1

https://www.urmc.rochester.edu/news/story/5108/urmc-researchers-developing-new-tool-to-fight-antibiotic-resistance.aspx

https://www.nature.com/articles/s41598-017-06738-3

Bacterial or Viral Infection? A New Study May Help Physicians …

www.acsh.org/printpdf/11629 

 

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

Series D, VOLUME 2:

Infectious Diseases and Therapeutics

Author, Curator and Editor: Larry H Bernstein, MD, FCAP and Curator: Sudipta Saha, PhD

 

Series D, VOLUME 3:

The Immune System and Therapeutics

Author, Curator and Editor: Larry H Bernstein, MD, FCAP

https://pharmaceuticalintelligence.com/biomed-e-books/series-d-e-books-on-biomedicine/human-immune-system-in-health-and-in-disease/

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