Accelerating AI innovation in healthcare: real-world clinical research applications on the Mayo Clinic Platform
Year: 2026
Type: article
Abstract: Artificial intelligence (AI) holds promise for healthcare, but real-world implementation remains difficult. The Mayo clinic platform (MCP) addresses this by providing scalable, multi-institutional, de-identified data and analytical tools. Through four research projects, we demonstrate MCP's ability to support efficient cohort identification, AI model development, and real-world evidence generation. MCP enables broader accessibility and standardization compared to institutional EHRs, positioning it as a powerful platform for advancing translational research and precision medicine.
Source: npj Health Systems
Authors: Yue Yu, Xinyue Hu, Sivaraman Rajaganapathy, Jingna Feng, Ahmed Abdelhameed, Xiaodi Li, Jianfu Li, Xiaoke Liu, Liu Yang, Nilüfer Ertekin-Taner, Phil Fiero, Soulmaz Boroumand, Richard Larsen, Maneesh Goyal, Clark C. Otley, Nansu Zong, Vijay H. Shah, John D. Halamka, Cui Tao
Institutions: Mayo Clinic in Florida, Mayo Clinic Health System, Mayo Clinic
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,790
Awards: BOND: Benchmarking based on heterogeneous biOmedical Network and Deep learning novel drug-target associations, Integrative translational discovery of vascular risk factors in aging and dementia, G3002044485, Facilitate Observational Studies of Alzheimer's Disease and Alzheimer's Disease-Related Dementias Using Ontology and Natural Language Processing, Standardizing and Harmonizing Behavioral and Social Science Research Factors in Alzheimer's Disease through Ontology-Based Approaches, Harnessing Molecular Networks of Resilience for Therapeutic Discoveries in AD, Blood-Based Biomarkers of Vascular (Dys)function in Alzheimer's Disease, G9000038879, G9000079008, G9000128249, G9000162324, An end-to-end informatics framework to study Multiple Chronic Conditions (MCC)'s impact on Alzheimer's disease using harmonized electronic health records, ACCELERATE-BASSO: Coordinating Center for Accelerating Behavioral and Social Science through Ontology
OpenAlex ID: W4415064727