Nobel Laureate Lectures:
Aaron Ciechanover (Nobel Prize in Chemistry 2004; Technion – Israel Institute of Technology, Haifa, Israel): TBA
Gregg Semenza (Nobel Prize in Physiology and Medicine 2019; John's Hopkins School of Medicine, Baltimore, MD, USA): TBA
Thomas Südhof (Nobel Prize in Physiology and Medicine 2013; University of Stanford, Palo Alto, CA, USA): TBA
Paul Modrich (Nobel Prize in Chemistry 2015; Duke University Medical Center, Durham, NC, USA): TBA
John M. Martinis (Nobel Prize in Physics 2025; University of California, Santa Barbara, CA, USA): Pending
14th ISABS and Mayo Clinic Conference: Advances in Application of Artificial Intelligence in Precision Medicine:
Julie Allickson (Mayo Clinic, Rochester, MN, USA): Harnessing Artificial Intelligence in Tissue Engineering and Biomanufacturing: Current Advances and Future Potentials
Itzhak Attia (Mayo Clinic, Rochester, MN, USA): From Screening to Action: Using AI to Detect and Manage Asymptomatic Cardiac Disease in Clinical Practice
Veronique Belzil (Vanderbilt University Medical Center, Nashville, TN, USA): Revealing ALS Subtypes for Earlier Diagnosis and Personalized Care: A Machine Learning Approach
Ezra Cohen (UC San Diego, San Diego, CA, USA): AI Platforms to Drive Optimal Patient Management
Gian Marco Conte (Mayo Clinic, Rochester, MN, USA): From Code to Clinic: Challenges and Opportunities in Translating AI into Radiology Practice
Antonio Esposito (San Raffaele Hospital and Vita-Salute San Raffaele University, Milan, Italy): Imaging-Driven AI models: Personalizing Cardiovascular Medicine
Claudio Franceschi (Alma Mater Studiorum, University of Bologna, Italy): Twenty-Five Years of Inflammaging: It Is Time for Clinical Application
Alex Gotler (Teva Pharmaceuticals, Tel Aviv, Israel): From Concept to Clinical Utility: Pharma’s Strategic Contributions to Digital Biomarker Development
Steven Hart (Mayo Clinic, Rochester, MN, USA): Use cases for and Against The Use of AI in Pathology
Vitaly Herasevich (Mayo Clinic, Rochester, MN, USA): Does AI-Driven Sepsis Detection Enhance Real-Time Surveillance in Critical Care?
Yufei Huang (UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA): Spatially Intelligent Oncology – Integrating Multimodal AI to Decode and Treat Tumors
Manolis Kellis (Massachusetts Institute of Technology, The Broad Institute, Cambridge, MA, USA): AI Foundation Models for Genomic Medicine, Drug Development, Protein Structure-to-Function, and Personalized Therapeutics
Shelby Kutty (BayCare Health System, Clearwater, FL, USA): AI and echocardiography in cardiovascular procedure planning
David Jones (Mayo Clinic, Rochester, MN, USA): Treating the Complex Brain: How AI Enhances Expertise in Dementia Care
Gordan Lauc (University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia; Genos Ltd., Zagreb, Croatia): AI in disease prediction based on glycome analysis
Edward Laskowski (Mayo Clinic, Rochester, MN, USA): Too Much Too Soon? The Effect of AI on Critical Thinking and the Physician-Patient Relationship
Andrea Britta Maier (National University of Singapore, Singapore): Precision Geromedicine: Changing the Health Narrative
Shounak Majumder (Mayo Clinic, Rochester, MN, USA): AI Tools for Diagnosis and Management of Pancreatic Diseases
Michal Melamed (Teva Pharmaceuticals, Tel Aviv, Israel): From Images to Insights: Using AI to Identify the Right Cells for Better Treatments
Samia Mora (Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA): Reducing Inflammation to Prevent Cardiovascular Disease
Eskeatnaf Mulugeta (Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands): AI meets Multi-Omics: Decoding Biological Function and Disease
Dennis Murphree (Mayo Clinic, Rochester, MN, USA): AI Advances in Dermatology
Falk Nimmerjahn (Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany): The Sugar Switch: Pro- and Anti-Inflammatory Activities of IgG Regulated by Glycosylation
Dragan Primorac (St. Catherine Specialty Hospital, Zagreb, Croatia; Medical Schools, Universities of Split, Osijek and Rijeka, Croatia; University of Pittsburgh School of Medicine, Pittsburgh, PA; Eberly College of Science, The Pennsylvania State University, University Park, State College, PA, USA; The Henry C. Lee College of Criminal Justice and Forensic Sciences, University of New Haven, West Haven, CT, USA): Decoding MFAT and MSC Therapeutics in Osteoarthritis: An AI-Powered Molecular Perspective
Nataša Pržulj (Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE): AI for Mining Multi-Omics Data in Precision Medicine and Pharmacology
Santiago Romero Brufau (Mayo Clinic, Rochester, MN, USA): Using Generative AI and Machine Learning to Identify Surgical Candidacy in Chronic Sinusitis
Parth S. Shah (Dartmouth Health, Lebanon, NH, USA): Delivering Enterprise Genomic Healthcare in the Era of Artificial Intelligence
Heath Skinner (UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA): AI-Assisted Biomarker Development in Head and Neck Cancer
Natalia Trayanova (John's Hopkins University, Baltimore, MA, USA): Multimodal AI to Predict Risk of Sudden Cardiac Death
Carmen Terzic (Mayo Clinic, Rochester, MN, USA): AI Reading Spine X-Ray Images to Predict Metastases in Patients With Lower Back Pain
Louis Vaickus (Dartmouth Health, Lebanon, NH, USA): Applications of AI in Pathology
Samuel Volchenboum (University of Chicago, Chicago, IL, USA): AI Won’t Cure Childhood Cancer, But It Will Help the People Who Do; The Promise, Pitfalls, and Patient Impact of AI in Oncology
Mark Waddle (Mayo Clinic, Rochester, MN, USA): Real World Applications of Artificial Intelligence in Radiation Oncology: Personalizing Treatment and Improving Efficiency
Moses Schanfield Memorial Symposium on Artificial Intelligence in Forensic and Anthropological Genetics:
Bruce Budowle (University of Helsinki, Helsinki, Finland): Artificial Intelligence enables scale, consistency, and right rigour in forensic identity inference
Tony Capra (University of California, San Francisco, CA, USA): AI as a Time Machine: Inferring Ancient Molecular Phenotypes With Machine Learning
Mateja Hajdinjak (Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany): Neandertals in Focus: What New Genomes Tell Us About Their Biology and Interactions With Humans
Mitchell Holland (Pennsylvania State University, State College, PA, USA): Probabilistic Intelligence for Mitochondrial DNA Mixture Deconvolution
Manfred Kayser (Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands): AI-Driven Insights into the Genetic Basis of Human Facial Variation
Johannes Krause (Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany): Genetic History of the Western Balkans and the Genetic Impact of Slavic Migrations
Ewelina Pośpiech (Pomeranian Medical University in Szczecin, Szczecin, Poland): Bridging Genomic and Epigenomic Data via Machine Learning for Forensic DNA Phenotyping
Antti Sajantila (University of Helsinki, Helsinki, Finland): Using AI to Predict Geolocation from Viral DNA
