The NLM Colloquia on Biomedical Data Science and Computational Biology Research is a regularly scheduled series of scientific lectures presented by the NLM Division of Intramural Research (DIR), a premier hub of innovation for computational biology and biomedical data science.
The NLM DIR invites experts from outside NLM to present at the Colloquia, where they can share their insights with research communities across NIH and worldwide in the rapidly evolving fields of biomedical data science and computational biology research, as well as how their work impacts these topic areas.
2026 NLM Colloquia Series
SALAMIN an open-source tool for Systematic Assessment of Literature for Aggregate Minority Inclusion and Neglect
Event Date: Thursday, September 10, 2026
Time: 11:00am–12:00pm
Speaker: Leo Anthony Celi, MD
Location: Natcher Conference Center, Building 45, Balcony B, and virtual via NIH Videocast
Abstract:
Dr. Celi will highlight data-driven approaches to advancing biomedical research for all populations, showcasing how the approach could allow any user to select a set of references, from a systematic review, a clinical guideline, or a disease-specific search, and instantly see a composite snapshot of who was studied and, just as importantly, who was not. His talk will demonstrate that the gap between what we know and whom we studied is not merely an academic concern; it directly shapes which patients benefit from evidence-based medicine and which are left to extrapolation and guesswork. Efforts to close this gap will shape innovative strategies for disease prevention, diagnostics, and treatment—ultimately contributing to improved public health outcomes.
Speaker Bio:
Leo Anthony Celi, MD, MPH, MS, is a senior research scientist at MIT’s Institute for Medical Engineering and Science, a physician at Beth Israel Deaconess Medical Center, and an associate professor at Harvard Medical School. His work brings clinicians and data scientists together to advance the use of health data, artificial intelligence, and machine learning in clinical research and care. He has helped develop widely used open clinical datasets, including MIMIC and the eICU Collaborative Research Database, which support research and reproducibility worldwide. His research also focuses on addressing bias in health data and AI and ensuring that emerging technologies improve health care across diverse populations.
How to Join:
Location: Natcher Conference Center, Building 45, Balcony B
This talk will also be broadcast live: NIH Videocast
Interpreting services are available upon request. Individuals with disabilities who need reasonable accommodation to participate in this lecture should contact NLMColloquia@nih.gov or the Federal Relay (1-800-877-8339).
Questions during the presentation can be sent to: NLMColloquia@nih.gov.
Sponsored by:
Richard Scheuermann, PhD
Scientific Director, Division of Intramural Research, National Library of Medicine