Applied AI Summit Healthcare
Free online conference | April 14-15, 2026Test-free Zero-contact Point-of-care Universal Screening of Complex Diseases
Early detection of complex diseases remains limited by the need for specialized tests, clinical encounters, and manual interpretation. I will present a new paradigm: test-free, zero-contact, point-of-care universal screening based entirely on longitudinal medical histories. Built on the Zero-burden Comorbidity Risk (ZCoR) framework and its extensions within Large Health Models, this approach infers high-dimensional comorbidity dynamics to forecast diverse conditions—from neurodegeneration to pulmonary fibrosis—years before clinical recognition. Unlike traditional diagnostics, screening requires no questionnaires, imaging, labs, or patient interaction; risk estimates emerge automatically from routine encounter data already present in electronic health records. I will describe the mathematical foundations enabling disease-agnostic forecasting, the construction of hyper-realistic digital twins, and the generation of phantom cohorts for validation. Results across multiple cohorts show population-scale deployability, high predictive accuracy, and transformative implications for proactive, equitable care. This framework redefines screening as a passive, continuous, and universally accessible capability.
About the speaker
Ishanu Chattopadhyay
Assistant Professor of Biomedical Informatics and Computer Science at University of Kentucky
Ishanu Chattopadhyay is an expert in artificial intelligence, machine learning, and the computational aspects of data science. Leading the Laboratory for Zero Knowledge Discovery (zed.createuky.net), housed within the Division of Biomedical Informations, under the Department of Internal medicine at the University of Kentucky, Chattopadhyay is interested in unraveling the etiologies of complex diseases and understanding rare event dynamics in natural and human systems. His research has been funded by the U.S. Department of Defense (DARPA), the National Institutes of Health, the Alzheimer’s Association, and the Neubauer Collegium for Culture and Society. His work has appeared in leading journals including Proceedings of the National Academy of Sciences (PNAS), Nature Medicine, Nature Human Behavior, Journal of the American Heart Association (JAHA), and journals of the American Medical Association (JAMA). In 2020, Dr. Chattopadhyay received the prestigious DARPA Young Faculty Award for his work on formal methods to study cognitive dissonance and opinion dynamics. Publications are available at: https://scholar.google.com/citations?user=JpUbOmsAAAAJ&hl=en