Services >
Analytics
Genomics Analysis Core (GAC)
Led by Uma Chandran, Ph.D., the Genomics Analysis Core (GAC) provides expert bioinformatics support for genomics research, with a commitment to rigor and reproducibility. It supports investigators across the full arc of translational research, from experimental design and data analysis through publication, and offers bioinformatic data analysis, high-throughput computing support, genomics education and training, and team science collaboration. The GAC partners with the Center for Research Computing and Data (CRCD) and the Pittsburgh Supercomputing Center (PSC) to develop the computing infrastructure that modern genomics demands and works closely with the Health Sciences Library System’s Molecular Biology Service to connect researchers with the most appropriate resources for their needs. The GAC is partially funded by the senior vice chancellor for the health sciences. Chandran’s team consists of four bioinformatics analysts (P. Cantalupo, R. Sethi, V. Soman, and J. Wang).
Cancer Bioinformatics Services (CBS)
Focused on translational genomics research at UPMC Hillman Cancer Center, the Cancer Bioinformatics Services (CBS) is directed by Uma Chandran, PhD, and provides comprehensive bioinformatics support for oncology investigators from study design and data generation through analysis and publication. The CBS supports the complete spectrum of next-generation sequencing applications, including RNA-seq, whole-exome sequencing (WES), whole-genome sequencing (WGS), ATAC-seq, single-cell RNA-seq, immunogenomics profiling, neoantigen prediction, microbiome 16S rRNA gene amplicon sequencing and metagenomic shotgun sequencing. For high-performance computing, the CBS partners with the CRCD and the PSC, and also delivers genomics education through the Health Sciences Library System. The CBS is funded by the UPMC Hillman Cancer Center Support Grant (5P30 CA047904).
Center for Clinical Artificial Intelligence (CCAI)
Under the direction of Shyam Visweswaran, MD, PhD, the Center for Clinical Artificial Intelligence (CCAI) develops, implements, and evaluates AI-powered clinical decision support (CDS) tools designed to make medical decision-making faster, more accurate and more equitable. The CCAI's work spans the full lifecycle of clinical AI: identifying unmet clinical needs; validating algorithms for statistical, clinical, and economic utility; ensuring fairness across patient populations; navigating Food and Drug Administration approval as Software as a Medical Device; and monitoring deployed algorithms for robustness over time. Current projects involve CDS in high-stakes clinical environments, including the intensive care unit and operating room, as well as in the outpatient setting.
CDS Services
Eugene M. Sadhu, MD, and Shyam Visweswaran, MD, PhD, lead CDS Services, which bridges the gap between algorithmic research and real-world clinical validation by providing the infrastructure needed to move AI and machine learning models from development into prospective clinical trials within UPMC. This capability enables investigators to deploy, test and monitor AI-enabled decision support tools in live care environments under rigorous trial conditions. CDS Services are enabled by a partnership among the CCAI, the Research Informatics Office (RIO), and the office of UPMC's chief medical information officer, bringing together expertise in clinical AI, research informatics, and operational health IT. Investigators interested in advancing AI models toward clinical evaluations should contact the RIO to discuss how CDS Services can support their project.