Analysis Group Co-launches Consortium to Advance AI-Driven Precision Health and Evidenced Medicine Research in Cardiometabolic Conditions
May 5, 2026
Improvements in care for patients with cardiometabolic conditions, as well as decisions related to their treatment and management, increasingly depend on integrated insights drawn from diverse public and private data sources. Harnessing medical big data through AI-driven methodologies offers a promising path to meet this need.
Analysis Group and Harvard T.H. Chan School of Public Health co-organized the Consortium for Obesity & Cardiometabolic Research & Evidence (CORE). CORE is a collaborative network of academic researchers, leading medical and payer experts, and industry partners focused on strengthening the scientific rigor, policy relevance, and real-world impact of obesity and cardiometabolic research.
CORE is designed to bridge fragmented data silos and break down traditional barriers to collaboration across the health care ecosystem. It enables the generation of more robust, timely, and actionable insights and speeds up the conversion of research findings into real-world implementation. In parallel with the Harvard Chan School–Analysis Group Initiative on Precision Health (HAPI), CORE aims to leverage cutting-edge AI methodologies to connect a spectrum of data sources and deliver a comprehensive and consistent view of disease progression, treatment impacts, and outcomes.
At its inaugural annual meeting on April 6, 2026, CORE convened leading global experts to consider critical evidence gaps, high-impact research opportunities, and emerging therapeutic trends. Attendees also explored how AI can accelerate evidence generation, strengthen value demonstration, and inform clinical, access, and policy decision making. Participating experts presented the validation and applications of the Dynamic Evaluation of Cardiometabolic and Obesity Disease (DECODETM) model, a digital twin AI that simulates long-term disease trajectories and treatment effects.
Dr. Frank Hu, Conference Chair and Chair of the Department of Nutrition and Fredrick J. Stare Professor of Nutrition and Epidemiology at Harvard Chan School, noted, “In cardiometabolic health, the question is no longer only what works, but how to make what works reach patients at scale. CORE exists to unite academia, health care systems, industry, and payers to generate actionable evidence and translate innovation into real-world impact.”
Analysis Group Managing Principal Eric Wu stated, “With CORE and GenAI models like DECODE, we’re creating a scalable, AI-enabled knowledge network to shape the future of personalized health care and empower informed, data-driven decisions.”
Learn more about CORE in our ISPOR 2026 Presentation Guide