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:

  • Clinical natural language processing, large language models in healthcare.
  • 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).
  • Open-sourced tools and open-accessed datasets that accelerate the above areas.

Postdoc and/or Research specialist Opening: We are recruiting a Postdoc and Research Specialist in clinical LLMs and medical informatics at Harvard Medical School and Brigham and Women’s Hospital! See job opportunities for details.

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.

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

News

2025/04

We are excited to present our real-world clinical practice benchmark BRIDGE! Link: https://arxiv.org/abs/2504.19467

2025/01

Dr. Yang is invited as an associate editor at TNNLS and npj Digital Medicine!

2025/01

Dr. Yang received the Goldberg Scholarship Award!

2025/01

One Paper accepted by Journal of Biomedical Informatics, congratulations to Shixu!

2024/12

New paper accepted by npj Digital Medicine, congratulations to Bowen.

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