Nobel Laureate Lectures:
Sir Richard John Roberts (Nobel Prize in medicine in Physiology and Medicine 1993; Northeastern University, Boston, MA, USA & New England Biolabs, Ipswich, MA, USA): TBA
Aaron Ciechanover (Nobel Prize in Chemistry 2004; Technion – Israel Institute of Technology, Haifa, Israel): TBA
Gregg Semenza (Nobel Prize in Physiology and Medicine 2019; Johns 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.
John Halamka (Mayo Clinic, Rochester, MN, USA): TBA
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): TBA
Shelby Kutty (BayCare Health System, Clearwater, FL, USA): AI and echocardiography in cardiovascular procedure planning
Joshua Jay Levy (Cedars-Sinai Medical Center, Los Angeles, CA, USA): TBA
David Jones (Mayo Clinic, Rochester, MN, USA): Treating the Complex Brain: How AI Enhances Expertise in Dementia Care.
Gordan Lauc (University of Zagreb, and Genos, 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.
Shounak Majumder (Mayo Clinic, Rochester, MN, USA): AI Tools for Diagnosis and Management of Pancreatic Diseases.
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
Dragan Primorac (ISABS & St. Catherine Specialty Hospital, Zagreb, Croatia; Universities of Split, Osijek and Rijeka, Croatia; 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.
Natalia Trayanova (Johns 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): Development of Fit-for-Purpose AI Tools for Forensic Genetic Genealogy.
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): Unveiling the Genetic Basis and Prediction of Facial Variation With Help From AI.
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.
