Moqri Lab develops artificial intelligence and multi-omic approaches to understand biological aging, predict disease risk, and advance precision medicine.
Our mission is to translate large-scale biomedical data into clinically useful tools that support earlier detection, prevention, and healthier aging.
We integrate biomarkers, electronic health records, omics datasets, and clinical data to study health trajectories across the lifespan.
The lab aims to bridge computational discovery and clinical translation by developing biomarkers and prediction models that can inform prevention, risk stratification, and personalized healthcare.
Moqri Lab operates at the intersection of computational biology, clinical research, and translational medicine within Harvard Medical School and Brigham and Women’s Hospital. Our work leverages large-scale biobanks, electronic health records, multi-omics datasets, and collaborative research networks to study aging and disease risk.
We welcome collaborations from researchers, clinicians, students, and industry partners interested in aging biology, biomarkers, artificial intelligence, and translational medicine.
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