Mount Sinai Study Aims to Build AI Digital Twins for Health

Mount Sinai’s DigiTwin Study is assembling a longitudinal health dataset to help AI models identify emerging risks before symptoms appear. Its stated goal is to collect comprehensive profiles from 1,000 people within the next three to five years; the work remains exploratory research, not a clinical service. Mount Sinai describes the project as a precision-health study, while the study plan sets out its enrollment target and research scope.