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
Learn more about our Alumni in the Department of Biomedical Informatics.
Learn more about our Training Program in the Department of Biomedical Informatics.
Learn more about our Research in the Department of Biomedical Informatics.
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...
Events
DBMI Colloquium Speaker – Yanshan Wang – February 7, 2025
Generative AI in Healthcare: Opportunities, Challenges, and the Path Forward Yanshan Wang, PhD Department of Health Information Management, School of Health and Rehabilitation Sciences, University of Pittsburgh Department of Biomedical Informatics Colloquium...
DBMI Colloquium Speaker – Ying Ma – January 31, 2025
Statistical and Computational Methods for Integrative Analysis of Spatial Transcriptomics Data Ying Ma, PhD Center for Computational Molecular Biology, Department of Biostatistics Brown University Department of Biomedical Informatics Colloquium Series – Spring 2025...
DBMI Colloquium Speaker – Mengjie Chen – January 24, 2025
Beyond variability: a novel gene expression stability metric to unveil homeostasis and regulation Mengjie Chen, PhD Committee on Cancer Biology, Committee on Genetics, Genomics and Systems Biology University of Chicago Department of Biomedical Informatics...