YLab: Empower Healthcare with Artificial Intelligence

YLab is an interdisciplinary research group led by Prof. Jie Yang at Harvard Medical School. Dr. Yang is a lead investigator at Brigham and Women’s Hospital, affiliated faculty at Broad Institute of MIT and Harvard, arvard Data Science Initiative, and Kempner Institute of Harvard University. Our interests focus on ** AI in healthcare and clinical natural language processing **. Specifically, we are interested in:

• Disease early-detection/diagnosis/treatment prediction using electronic health records and other clinical data sources.
• Efficient feature extraction from electronic health records and insurance claims.
• Data analysis on healthcare-related data (e.g. telemedicine, social media).
• Natural language processing, large language models in healthcare.
• Open-sourced tools and open-accessed datasets that accelerate the above areas.

Prospective students: We welcome students, trainees, and collaborators from Harvard, MIT, and other institutes in the greater Boston area to work with us. For undergraduate students from Harvad, I can enroll student through KURE/KRANIUM programs at Harvard Kempner Institute. We have over 80 million real-world electronic healthcare records for over 1.3 million patients (MGB internal data), and have collected around 100 open-access clinical text datasets. Our division has a new powerful server (8xH100 GPUs). Please email me (jyang66@bwh.harvard.edu) with your CV if you are interested.

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We have developed several popular NLP tools (including NCRF++, LatticeLSTM and YEDDA), which attracted more than 5000 stars at GitHub.