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Advancing AI-Assisted Diagnosis of Ophthalmic Diseases

Qingyu Chen, PhD, Assistant Professor at Yale's BIDS, has received a $746,960 grant from the National Library of Medicine (NLM) and the National Institutes of Health (NIH) for his project, “Natural Language Processing and Medical Imaging Analysis for Multi-Modality Computer-Assisted Diagnosis of Ophthalmic Diseases.” This three-year research will focus on developing advanced AI models to enhance the accuracy and reliability of eye disease diagnoses.

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  • Biomedical Informatics and Data Science (BIDS) Secures a $7.88 Million NIH Grant to Advance Mental Health Research Using AI Technology

    Yale School of Medicine’s Department of Biomedical Informatics and Data Science (BIDS) has received a $7.88 million grant from the National Institute of Mental Health (NIMH) to lead a groundbreaking five-year project. Led by Hua Xu, PhD, the project will establish a Coordinating Center for the IMPACT-MH Program, which aims to advance personalized mental health research using computational tools. Key collaborators include experts from Yale, the University of Pennsylvania, and Mayo Clinic.

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  • Welcome New Faculty, Fellows, Students, and Staff to Yale BIDS (Fall 2024)

    This fall, Yale School of Medicine's Department of Biomedical Informatics & Data Science (BIDS) is excited to welcome an outstanding group of new faculty, postdocs, students, and staff to our community. These talented individuals bring a wealth of expertise and fresh perspectives to advance innovative research, data science, and clinical informatics. We look forward to their contributions as we continue to shape the future of biomedical informatics at Yale. Read more about our newest members and their roles within the department!

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  • Advancing Clinical Decision Support with Reliable, Transparent Large Language Models

    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.

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  • AI in Medicine Workshop Explores Cutting-Edge AI Applications in Drug Discovery

    Salt Lake City, Utah - July 9-12, 2024 – At the 22nd International Conference on Artificial Intelligence in Medicine, the “Artificial Intelligence for Drug Discovery – Development in Pharmaceuticals, Academia, or Jointly in Collaborations” workshop kicked off at the Hilton Salt Lake City Center with a full audience. The event drew experts from leading institutions and industries to discuss the latest advancements in AI applications for drug discovery. It also showcased one of the largest pharma-academia collaborations in the US, attracting many leaders in the field seeking insights on how to initiate, develop, and grow successful partnerships.

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