Description

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Addresses the integration of fundamental scientific methods, clinical practice principles, settings and workflows, biomedical informatics scientific methods and technical infrastructure to enable personalized and precision medicine
Covers the continuum from R&D and discovery all the way to translation to clinical delivery
Provides practical considerations and guidance on use of informatics approaches for delivery of precision medicine in healthcare
Focus on clinical grade informatics methods, processes and practices.

About the Author

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Terrence Adam is an Associate Professor of Pharmaceutical Care and Health Systems in the University of Minnesota College of Pharmacy and in the Institute for Health Informatics (IHI). Dr. Adam has doctoral degrees in Health Informatics and Medicine as well as a bachelors degree in Pharmacy. He is a clinical informaticist and practicing physician and pharmacist focused on perioperative medicine and medication safety. His research focuses on developing and improving clinical decision making at the point of care for personalized and precision medicine diagnostics, risk assessment and treatment optimization. His research has utilized electronic medical record systems, large clinical databases and patient oriented clinical data acquisition to manage and improve clinical decision support and clinical care quality. He leads the recently-launched PhD track in Personalized and Precision Medicine Informatics in IHI and also directs courses focused on both clinical andprecision medicine informatics. Constantin Aliferis is Professor of Medicine and Data Science, Chief Research Informatics Officer, and Director of the Institute for Health Informatics at the University of Minnesota (UMN). Previously Dr. Aliferis served as the Founding Director of the Center for Health Informatics and Bioinformatics at the NYU Langone Medical Center where he was also Informatics Director for the NYU Clinical and Translational Science Institute and the NYU Cancer Institute. His research has produced frontier methods for scalable predictive and causal modeling, with focus on personalized and precision medicine across a wide spectrum of diseases including: multiple Cancer types, Osteoarthritis, PTSD, Suicidal Thoughts and Behaviors, viral URTI, Atherosclerosis, Pneumonia, Sepsis, Psoriasis, High Blood Pressure, and Stroke & stroke-like syndromes. Dr Aliferis is an experienced educator who is currently overseeing the UMN programs in Health Informatics. Previously he served as architect and Director of both the Vanderbilt and NYU graduate programs in Biomedical Informatics. Over the years, he has taught numerous courses in his areas of expertise and has mentored more than 30 students and faculty.