Daniel Herman is a physician-scientist at the University of Pennsylvania, serving as Assistant Professor of Pathology & Laboratory Medicine and Director of Data Science for the department. His work focuses on applying AI and biomedical informatics to improve disease screening using electronic health records. He earned his MD/PhD from Harvard Medical School.
He leads a research group focused on developing computational tools to improve the quality of clinical laboratory results and leveraging EHR data to screen for underdiagnosed diseases, such as secondary hypertension.
He is pioneering the use of AI-triggered decision support systems within clinical pathology to make them more scalable, safe, and effective.
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