Assistant Professor of Anesthesiology – Cardiac Division, University of Michigan; Research Director, Multicenter Perioperative Outcomes Group (MPOG). Dr. Mathis serves as the Research Director for MPOG. He has NIH K, and recently R01 grant funding support to study how data science methods – including machine learning and waveform processing – can be applied to perioperative multicenter observational datasets, to inform perioperative care for patients with advanced cardiovascular diseases.
Kayvan Najarian is a professor of Computational Medicine and Bioinformatics at University of Michigan. He serves as director of Biomedical and Clinical Informatics Lab, and director of an NSF-sponsored center called Data-Driven Drug Development and Treatment Assessment. He is also an associate director of Michigan Institute for Data Sciences.
Assistant Professor of Computer Science; Queens College, City University of New York.Dr. Gryak earned his PhD in Computer Science from the Graduate Center, CUNY. His research efforts are dedicated to addressing problems in biomedical informatics and computer science by developing novel artificial intelligence/machine learning methods that can leverage a problem's underlying morphology and work within its operational limitations.
Dr.Maheshwari specializes in liver transplantation & acute pain management at the Cleveland Clinic Foundation and is the Assistant Professor of Anesthesiology at CCLCM. He graduated in Medicine from University of Delhi, India and later completed MPH program at Johns Hopkins Bloomberg School of Public Health with specialization in health policy and management & received a certificate in Quality Patient Safety and Outcomes Research.
– Introductions: Dr.Piyush Mathur
– Prediction of Postoperative Deterioration in Cardiac Surgery Patients Using Electronic Health Record and Physiologic Waveform Data. Dr. Michael Mathis; Prof. Kayvan Najarian; Assistant Prof. Jonathan Gryak.
– Issues associated with hypotension prediction in perioperative period. Dr. Kamal Maheshwari.