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Daniel S. Herman, MD, PhD, is a prominent figure in the field of computational laboratory medicine at the Perelman School of Medicine, University of Pennsylvania. He focuses on developing and evaluating data-driven approaches to enhance clinical care systems, particularly in the early detection and accurate diagnosis of under-diagnosed conditions, including cardiovascular diseases. His research interests encompass the application of sophisticated modeling techniques that leverage longitudinal and multi-dimensional patient data. He is dedicated to transforming existing clinical data and exploring potential new biomarkers derived from electronic health records and epidemiologic studies. Additionally, Dr. Herman is involved in creating small clinical cohorts to evaluate targeted research questions, reflecting his commitment to employing computational methods in practical medicine settings. His ongoing projects include the enhancement of methods for identifying patients with rare and complex diseases, supported by funding from the Patient-Centered Outcomes Research Institute (PCORI). Dr. Herman's work is informed by a rich background in medical research and a deep understanding of the clinical landscape.
Perelman School of Medicine at the University of Pennsylvania • Philadelphia, PA
Conducts research and teaches in the field of computational laboratory medicine.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.