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Dr. Daniella Meeker has been awarded the 2025 JCTS Publication Award for her paper, “Development of a Social and Environmental Determinants of Health Informatics Maturity Model,” which presents a practical tool to help organizations evaluate and improve their use of social and environmental health data and advance informatics strategy and implementation.

Twelve Yale School of Medicine faculty members are among the leading experts in science, technology, engineering, mathematics, and medicine newly elected to the Connecticut Academy of Science and Engineering.

A team of Yale researchers demonstrated the effectiveness of a large language model (LLM)-based pipeline in identifying overt gastrointestinal bleeding in 1,108 patients seen between 2014 and 2023 in the Yale-New Haven Health System. The study showed a high accuracy of the model in detecting melena, hematochezia, and hematemesis, identifying recurrent bleeding, and catching more than 98% of cases. The algorithm also increased the average per-patient reimbursement.

Yale researchers now have enhanced access to the MarketScan Research Databases, providing extensive person-specific clinical data from 2014–2023. With nearly 10 billion records from large employers, health plans, and public organizations, MarketScan covers inpatient, outpatient, prescription drug, and carve-out services — all while maintaining strict privacy standards.

Yale Biomedical Informatics and Data Science (BIDS) is at the forefront of advancing privacy-preserving technologies in genomics and health research, leading innovative initiatives to redefine secure data-sharing frameworks.

Qianqian Xie, PhD, a postdoctoral associate in the Department of Biomedical Informatics and Data Science (BIDS), has received an NIH grant to develop a Large Language Model (LLM)-based framework for clinical decision support. The project aims to create a reliable, evidence-based question-answering system to assist clinicians in high-pressure environments, such as emergency departments, by providing real-time, trustworthy information. Dr. Xie's work is supported by mentors and collaborators from Yale and other leading institutions.

Dr. Meeker has been inducted as a Fellow of the American College of Medical Informatics (ACMI), recognizing her exceptional contributions to the field of biomedical informatics. This prestigious honor highlights her influential work in advancing healthcare data science and her commitment to leveraging informatics for improved health outcomes. As an ACMI Fellow, Dr. Meeker joins a distinguished community of leaders driving innovation and excellence in medical informatics.

Investigators from Yale Cancer Center were recently awarded a research grant from the American Cancer Society (ACS) and Yosemite, an oncology focused venture capital firm.

A new Yale Diagnostic Center of Excellence will work to bring diagnostic genetic services to underserved patients with rare diseases.