3 papers
cs.LG2026
PhenoBench: Mapping What a Deeply Phenotyped Human Cohort Can Tell Us
Gal Sapir, Alon Diament, Adva Wolf +7
Deeply phenotyped cohorts combine clinical, imaging, molecular, and wearable observations across timescales from seconds to years. This breadth can reveal which measurements inform…
cs.AI2026
Simulating clinical interventions with a generative multimodal model of human physiology
Guy Lutsker, Gal Sapir, Jordi Merino +7
Understanding how human health changes over time, and why responses to interventions vary between individuals, remains a central challenge in medicine. Here we present HealthFormer…
q-bio.QM2024
From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis
Guy Lutsker, Gal Sapir, Smadar Shilo +11
Recent advances in SSL enabled novel medical AI models, known as foundation models, offer great potential for better characterizing health from diverse biomedical data. CGM provide…