| 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: Short Talk: Towards Biologics by Design: AI-driven Optimization of Next Generation Protein Therapeutics |
| James Shoemaker, Lena Biosciences, Inc. Short Talk: Short Talk: Path Forward for the AI-guided Mitochondrial Toxicity Predictions for Predictive Toxicology |
| Sadasivan Shankar, Material Alchemy LLC Short Talk: Short Talk: Hybrid Machine Learning Methodology for Guiding In Silico Toxicity Assessment |
| 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: Short Talk: Predicting Metabolic Response to Dietary Intervention using Deep Learning |
| Adriana Tomic, Boston University Short Talk: 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: 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: 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 |
| 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: Short Talk: Modeling Variations in Antibody Response Longevity Among Individuals |
| Dogus Dogru, Boston College Short Talk: 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: 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: Short Talk: Machine Learning-based Method to Analyze Metabolic Fluxes of Patient Tumors |
| Joseph DeBartolo, Auron Therapeutics Short Talk: 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: 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: Short Talk: Harnessing AI for Systems Medicine of Incurable Diseases |