Biomedical Applications

The Biomedical Applications Group pursues cutting-edge research in high performance computing in the biomedical sciences. They foster collaboration between PSC experts in computational science and biomedical researchers nationwide. 

Scientists in the Biomedical Applications Group develop computational methods and tools and conduct research on biomedical systems at the cell and tissue level with a focus on neural systems, such as the brain and the central nervous system.

Current projects and collaborations

Brain Image Library

Brain Image Library (BIL), a national public resource and collaboration with CMU’s Molecular Biosensor and Imaging Center and the University of Pittsburgh’s Center for Biologic Imaging, enables researchers to deposit, analyze, mine, share and interact with large brain-image datasets.

HuBMAP

The Human BioMolecular Atlas Program (HuBMAP), a mapping system for human tissues funded by the National Institutes of Health, is a collaboration between PSC and the Department of Biomedical Informatics (DBMI) at the University of Pittsburgh School of Medicine. PSC and DBMI are working with a number of other teams as part of the HuBMAP Integration, Visualization and Engagement (HIVE) Collaboratory.

SenNet

The Cellular Senescence Network (SenNet) is funded by the National Institutes of Health (NIH) Common Fund and overseen in collaboration with the National Institute on Aging and National Cancer Institute. Through coordination by scientists in Pittsburgh, SenNet will create a navigable, 3D map of the body that offers data and analysis on cellular aging, shedding light on nerve degeneration, diabetes, cancer, and normal tissue functions.

Previous projects

MMBioS

The National Center for Multiscale Modeling of Biological Systems (MMBioS) developed tools to advance and facilitate cutting-edge research at the interface between high performance computing and the life sciences. Our overarching goal was the predictive multi-scale modeling of the spatiotemporal organization and evolution of neuro-signaling systems and events.