Zero-knowledge Discovery in Biology, Medicine And Social Systems

Artificial Intelligence (AI) is poised to transform the pursuit of scientific knowledge. Emerging technology designed to replicate the success of large language models in other areas, holds immense potential for reshaping early diagnosis, prevention, and treatment strategies for complex medical conditions, and provide surprising insights into hard questions in biology and the social sciences. We describe our recent breakthroughs in AI-accelerated science, ranging from the development of universal screening tools for complex disorders including autism, dementia, pulmonary fibrosis and rare cancers, to uncovering actionable predictive patterns in human behavior, to designing the next generation proactive biosurveillance platforms that track and preempt global zoonotic emergence events. The described work is the result of several grants from DARPA, NIH and Alzheimer’s Association.

Speaker:
Ishanu Chattopadhyay, PhD
Assistant Professor of Medicine
University of Chicago
Center for Health Statistics
Committee on Genetics, Genomics & Systems Biology
Committee on Quantitative Methods in Social, Behavioral, and Health Sciences
https://zed.uchicago.ed