The initiative integrates data from genes, proteins, metabolites, clinical records, wearables, AI, and environmental exposures to predict risk and enable prevention.

The long-term aim is to extend healthspan by tackling chronic disease drivers through Precure Research.

Mayo Clinic launches Precure Research as part of its Bold. Forward. strategy to Cure, Connect and Transform healthcare, aiming to identify disease earlier, understand it more fully, and intercept it before it takes hold.

The initiative plans Mayo Clinic's largest integrated collection of biospecimens and health data to drive data-to-insight workflows that identify biomarkers and inform therapies and smarter clinical trials.

Precure Research targets the earliest, pre-symptomatic disease stages by integrating genetics, proteins, metabolites, clinical data, wearables, AI, and environmental exposures to better predict and prevent disease before symptoms appear.

The project emphasizes the exposome—the cumulative lifetime environmental and lifestyle influences such as air, water, diet, pollutants, activity, sleep, stress, and more—and how these exposures shape disease development and individual resilience.

It also examines how the exposome interacts with biology to influence disease risk, including factors like heavy metals, pesticides, noise, and light.

AI plays a central role in analyzing billions of data points, with examples like identifying Alzheimer's-related changes decades before memory loss and uncovering inherited heart disease before heart failure.

Early findings show that inherited cancer and cardiovascular risks can be detected in about 2,000 individuals who previously had no known risk, and precancerous changes as well as signs of pancreatic cancer may be detectable years before diagnosis.

Additionally, AI-assisted methods identify signs of pancreatic cancer years before diagnosis and early Alzheimer's-related changes decades before memory loss.

Initial focus areas include diseases of the brain, heart, kidneys, liver, and lungs, alongside pathways like inflammation, oxidative stress, aging, and metabolic dysfunction.