AI in Biomedicine (EK2)
May 1-3, 2024  | Virtual Conference
Thomas Hartung, Weida Tong and Yvonne Will
 | Abstract Deadline: Mar. 20, 2024
* Session Chair † Invited but not yet accepted | Program current as of June 13, 2024 6 PM | For the most up-to-date details, visit https://www.keystonesymposia.org
Wednesday, May 1, 2024
8:00–9:00 AM Welcome and Keynote Address
  Thomas Hartung, Johns Hopkins University
AI is the End of Biomedicine as we Know it (and I Feel Fine)
 
9:00–10:30 AM Ethical Implementation of AI in Biomedicine & Panel Discussion
  * Thomas Hartung, Johns Hopkins University
Session Chair
 
  Ute Schmid, University of Bamberg
ML and AI Safety, Effectiveness and Explainability in Healthcare
 
  Lomax Boyd, John Hopkins Berman Institute of Bioethics
The Emergence of Organoid Intelligence: Ethical Implications of Integrating Brain Organoids with Artificial Intelligence
 
11:30–12:30 PM Career Roundtable
  Jun Deng, Yale University School of Medicine
Professor & Director
 
  Klaus P Hoeflich, Nested Therapeutics Inc
Chief Scientific Officer and Co-Founder
 
  Nicole Kleinstreuer, NIEHS, National Institutes of Health
Director, NICEATM
 
1:00–4:00 PM AI in Drug Development
  * Thomas Hartung, Johns Hopkins University
Session Chair
 
  Vivek Natarajan, Google Health AI
How LLMs Might Help Scale World Class Healthcare to Everyone
 
  Djork-Arné Clevert, Pfizer
AI Relating to Drug Discovery and Safety
 
  Mohan Rao, Neurocrine Biosciences
AI/ML Models for Predicting Drug-Induced Liver Injury (DILI) in Small Molecules
 
  Weida Tong, US Food and Drug Administration
The FDA Artificial Intelligence (AI) Program for Toxicology
 
  Norbert Furtmann, Sanofi
Short Talk: Towards Biologics by Design: AI-driven Optimization of Next Generation Protein Therapeutics
 
  James Shoemaker, Lena Biosciences, Inc.
Short Talk: Path Forward for the AI-guided Mitochondrial Toxicity Predictions for Predictive Toxicology
 
  Sadasivan Shankar, Material Alchemy LLC
Short Talk: Hybrid Machine Learning Methodology for Guiding In Silico Toxicity Assessment
 
Thursday, May 2, 2024
8:00–11:00 AM AI in Medical Treatment & Precision Medicine
  * Thomas Hartung, Johns Hopkins University
Session Chair
 
  Frank Emmert-Streib, Tampere University
Digital Twins in Medicine: Opportunities and Challenges
 
  Jun Deng, Yale University School of Medicine
Cancer Patient Digital Twins for Predictive Oncology: The State of the Art
 
  Rui Zhang, University of Minnesota
Artificial Intelligence for Advancing Precision Medicine in Cancer, Aging and Nutrition Applications
 
  Tong Wang, Brigham and Women’s Hospital; Harvard Medical School
Short Talk: Predicting Metabolic Response to Dietary Intervention using Deep Learning
 
  Adriana Tomic, Boston University
Short Talk: PANDORA: AI Platform Accelerating the Discovery of Human Immune Memory Responses to Viruses and Vaccines
 
11:00–12:00 PM Panel Discussion: AI in Medical Treatment and Prevention
1:00–3:00 PM AI in Medical Imaging and Diagnostics
  * Weida Tong, US Food and Drug Administration
Session Chair
 
  Tuan Pham, Queen Mary University of London
Emerging Methods and Algorithms in Pathology Computer Vision
 
  Yuan Wang, UCB
Short Talk: Computational Evaluation of Human Relevant in vitro Models Enables Cardiomyocyte Phenotype Differentiation
 
  Mohan Kumar Gajendran, University of Missouri School of Medicine
Short Talk: A New Frontier in Early-Stage Glaucoma Detection: Machine Learning and Wavelet-Based ERG Signal Analysis
 
3:00–4:30 PM Poster Session
Friday, May 3, 2024
8:00–11:00 AM Future of AI in Biomedicine
  * Weida Tong, US Food and Drug Administration
Session Chair
 
  Katrina M. Waters, Pacific Northwest National Laboratory
AI in Infectious Disease (infection)
 
  Alexandra Maertens, Johns Hopkins University
Green Toxicology – Anticipating Hazards by Chemicals (Toxicology)
 
  Martin Hofmann-Apitius, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI)
Using AI to understand the Co-Morbidity between COVID and Neurodegeneration
 
  Antonella Prisco, Institute of Genetics and Biophysics, National Research Council (Italy)
Short Talk: Modeling Variations in Antibody Response Longevity Among Individuals
 
  Dogus Dogru, Boston College
Short Talk: A Machine Learning-guided Approach to Uncover Microbiome-derived Autoantigen Mimics in Type 1 Diabetes
 
12:00–1:00 PM Networking Session
1:00–2:30 PM AI in Cancer Research and Therapeutics
  * Weida Tong, US Food and Drug Administration
Session Chair
 
  Channing Paller, Johns Hopkins University
The Risks and Rewards of AI Image Data in Oncology
 
  Jin Choul Chai, SML Labtree
Short Talk: Analyzing the Knowledge Graph of Chronic Disease and Cancer in a Korean Cohort Using Graph Neural Networks
 
  Baharan Meghdadi, University of Michigan
Short Talk: Machine Learning-based Method to Analyze Metabolic Fluxes of Patient Tumors
 
  Joseph DeBartolo, Auron Therapeutics
Short Talk: AURIGIN: A comprehensive single-cell OMICs atlas of human development and an AI/ML framework to classify and identify the drivers of tumor plasticity and altered cellular state
 
  Argenis Arriojas, University of Massachusetts Boston
Short Talk: AI-Enabled Automated Analysis of Chemotherapy Impact on Mitochondrial Morphology in triple negative breast cancer from transmission electron micrographs
 
3:00–5:00 PM Future of AI in Biomedicine II & Panel Discussion
  * Weida Tong, US Food and Drug Administration
Session Chair
 
  Nicole Kleinstreuer, NIEHS, National Institutes of Health
Augmented Intelligence Along the CompTox Continuum
 
  Pedro Gomez Vilda, Las Rozas de Madrid
Impact of Data Science on Clinical Applicability of Neurolinguistics
 
  You Wu, City University of New York
Short Talk: Harnessing AI for Systems Medicine of Incurable Diseases