Yi Guo accumulates national roles in biomedical informatics

Chartered Member of NIH Study Section

Yi Guo, PhD
Yi Guo, PhD, FAMIA

Yi Guo, Associate Professor in the UF College of Medicine’s Department of Health Outcomes and Biomedical Informatics and Director of the Cancer Informatics Shared Resource of the UF Health Cancer Center, was invited to serve as a Standing Member of the Healthcare and Health Disparities Study Section to help the National Institutes of Health (NIH) select the most promising grant applicants.

Guo will serve a four-year term from 2024 to 2028 as the sole representative from Florida and alongside 20 other members from prestigious institutions such as Harvard Medical School and Stanford University School of Medicine. Last year he was invited to serve on Healthcare and Health Disparities as an ad hoc member in the same role.

The Study Section reviews applications examining the systemic underpinnings of health care disparities closely associated with social, economic, and/or environmental disadvantage, and how social determinants of health relate to access, use of, and effectiveness of health services and health promotion at the health systems level.

Guo was nominated and selected to join Healthcare and Health Disparities because of his demonstrated competence and achievement in biomedical informatics, real-world data analytics, statistical and machine learning, randomized trial design and analysis, and other significant scientific activities, achievements, and honors.

Fellow with American Medical Informatics Association

In May 2024, Guo was inducted as a Fellow of the American Medical Informatics Association (FAMIA) with 83 other new Fellows at the AMIA Clinical Informatics Conference in Minneapolis. The designation of FAMIA recognizes members who apply informatics skills and knowledge within their professional setting, who have demonstrated professional achievement and leadership, and who have a sustained commitment to the betterment of AMIA.

Guo’s research aims to improve patient and population health through the collection, integration, and analysis of real-world data from different sources. Guo applies artificial intelligence and machine learning to investigate cancer, Alzheimer’s disease, diabetes and other complex ailments. His use of real-word data from patients means that research findings can be applied to managing diseases and helping healthcare leaders make highly-informed decisions.