Department of Biomedical Informatics | Where Artificial Intelligence and Data Science come together with Biology and Medicine

The Department of Biomedical Informatics, University of Pittsburgh School of Medicine, is improving clinical care and biomedical research via innovative applications in data mining, text processing, AI/machine learning, and biosurveillance.

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Certificate, Master’s & Doctoral Programs: Our program is designed to combine rigorous and in-depth research training with flexibility to tailor your program with elective courses from across the University.

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Postdoctoral Fellowship & Summer Internship: Enhance your research training and gain the additional skills you need for a successful academic career.

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Undergraduate Research: The Accessible & Inclusive Biomedical Informatics & Data Science (AIBIDS) is a full-time 10-week internship in informatics/data science under a faculty member or trainee at Pitt or Gallaudet University.

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Biomedical Informatics Training Opportunities!

The University of Pittsburgh’s Biomedical Informatics Training Program offers exciting opportunities in the applications of machine learning, artificial intelligence, and biomedical informatics through a range of degree and non-degree options:

Certificate in Biomedical Informatics
Masters Degree (MS) in Biomedical Informatics (including post-doctoral MS)
Doctoral Degree (PhD) in Biomedical Informatics
MS or PhD in Intelligent Systems – Biomedical Informatics Track
MD/PhD in Biomedical Informatics
Non-degree Postdoctoral Training

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Apply to DBMI

Learn more about our Alumni in the Department of Biomedical Informatics.

Alumni

Learn more about our Training Program in the Department of Biomedical Informatics.

Training Program

Learn more about our Research in the Department of Biomedical Informatics.

Research

News

Anatomy-aware Generative Artificial Intelligence (GenAI) model for AI-powered medical imaging

Shyam Visweswaran is part of the BU-led interdisciplinary team that developed the first anatomy-aware Generative Artificial Intelligence (GenAI) model that advances the power of and trust in AI-powered medical imaging. This research was made possible through...

STAT news investigation on embedded bias in clinical algorithms includes extensive commentary by DBMI faculty.

STATnews investigation on embedded bias in clinical algorithms features extensive comments from Shyam Visweswaran. See: https://www.statnews.com/2024/09/03/embedded-bias-investigation-health-equity-clinical-algorithms/

Shyam Visweswaran was inducted as an International Academy of Health Sciences Informatics fellow

Shyam Visweswaran, a biomedical informatics professor and vice chair of clinical informatics in Pitt's School of Medicine, and the director of the Center for Clinical Artificial Intelligence (CCAI), has been named a fellow of the International Academy of Health...

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Events

DBMI Colloquium Speaker – Siyang Zheng – September 27, 2024

Nanoengineering for Molecular Cancer Diagnosis Siyang Zheng, PhD Biomedical Engineering and Electrical & Computer Engineering Carnegie Mellon University Department of Biomedical Informatics Colloquium Series – Fall 202411:00 am – 12:00 pm407a/b BAUM5607...

DBMI Colloquium Speaker – LiRong Wang – September 20, 2024

Leveraging EMR Data to Identify Medications for Treatment of PTSD with Comorbidities through Deep Learning and Clinical Trial Emulations LiRong Wang, PhD, Pharmaceutical Sciences Computational Chemical Genomics Screening (CCGS) Center School of Pharmacy, University of...

DBMI Colloquium Speaker – Tom Campion – September 13, 2024

Supporting Clinical and Translational Researchers with Electronic Patient Data Tom Campion, PhD Research in Population Health Sciences, Population Health Sciences Weill Cornell Medical College Department of Biomedical Informatics Colloquium Series – Fall 202411:00 am...

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