Available to mentor
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Center MemberCenter for Integrative Research in Critical Care
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Center MemberInstitute for Healthcare Policy and Innovation
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Center MemberCaswell Diabetes Institute
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Center Membere-Health and Artificial Intelligence Initiative
Dr. Najarian, as the director of the Biomedical and Clinical Informatics Lab at the University of Michigan, is a distinguished researcher in the field of computational medicine, with a primary focus on leveraging artificial intelligence (AI) and machine learning (ML) for medical applications through clinical decision support systems and drug discovery and assessment. Resulting AI-based technologies for clinical decision support systems, which have been funded by agencies such as NSF, NIH, and DoD, feature advanced signal/image processing and ML techniques. In addition, he has collaborated with industry giants including J&J, BMS, and Toyota aimed at developing AI-based medical decision support systems for cardiovascular and gastrointestinal diseases. The success of these endeavors is evident in the licensing of these technologies to private companies, highlighting the real-world impact in advancing healthcare through computational medicine. Dr. Najarian is an Associate Director of the Michigan Institute for Data Science (MIDAS), focusing specifically on the integration of AI in healthcare and an Associate Director of the Weil Institute where he directs efforts toward AI applications in critical care. These roles signify Dr. Najarian’s commitment to driving innovation and improving patient outcomes through the implementation of cutting-edge AI technologies. Furthermore, as the Director of the Center for Data-Driven Drug Development and Treatment Assessment (DATA), an NSF IUCRC, Dr. Najarian coordinates all activities in this national center towards advancing the frontier of AI in drug development and contributes significantly to research in this field.
Najarian Lab
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Alge OP, Pickard J, Zhang W, Cheng S, Derksen H, Omenn GS, Gryak J, VanEpps JS, Najarian K. Sci Rep, 2024 Aug 6; 14 (1): 18155Journal ArticleContinuous sepsis trajectory prediction using tensor-reduced physiological signals.
DOI:10.1038/s41598-024-68901-x PMID: 39103488 -
Zhang Y, Golbus JR, Wittrup E, Aaronson KD, Najarian K. BMC Med Inform Decis Mak, 2024 Feb 14; 24 (1): 53Journal ArticleEnhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data.
DOI:10.1186/s12911-024-02453-y PMID: 38355512 -
Gao Z, Cheng S, Wittrup E, Gryak J, Najarian K. Artif Intell Med, 2024 Oct; 156: 102947Journal ArticleLearning using privileged information with logistic regression on acute respiratory distress syndrome detection.
DOI:10.1016/j.artmed.2024.102947 PMID: 39208711 -
Sun D, Macedonia C, Chen Z, Chandrasekaran S, Najarian K, Zhou S, Cernak T, Ellingrod VL, Jagadish HV, Marini B, Pai M, Violi A, Rech JC, Wang S, Li Y, Athey B, Omenn GS. J Med Chem, 2024 Sep 26; 67 (18): 16035 - 16055.Journal ArticleCan Machine Learning Overcome the 95% Failure Rate and Reality that Only 30% of Approved Cancer Drugs Meaningfully Extend Patient Survival?
DOI:10.1021/acs.jmedchem.4c01684 PMID: 39253942 -
Hodgman M, Minoccheri C, Mathis M, Wittrup E, Najarian K. Diagnostics (Basel), 2024 Aug 10; 14 (16):Journal ArticleA Comparison of Interpretable Machine Learning Approaches to Identify Outpatient Clinical Phenotypes Predictive of First Acute Myocardial Infarction.
DOI:10.3390/diagnostics14161741 PMID: 39202229 -
Gryak J, Georgievska A, Zhang J, Najarian K, Ravikumar R, Sanders G, Schuler CF. J Allergy Clin Immunol Glob, 2024 Aug; 3 (3): 100252Journal ArticlePrediction of pediatric peanut oral food challenge outcomes using machine learning.
DOI:10.1016/j.jacig.2024.100252 PMID: 38745865 -
Zhang Y, Kohne J, Wittrup E, Najarian K. Diagnostics (Basel), 2024 Jul 29; 14 (15):Journal ArticleThree-Stage Framework for Accurate Pediatric Chest X-ray Diagnosis Using Self-Supervision and Transfer Learning on Small Datasets.
DOI:10.3390/diagnostics14151634 PMID: 39125510 -
Zare A, Wittrup E, Najarian K. Sensors (Basel), 2024 Mar 29; 24 (7):Journal ArticleMechanistic Assessment of Cardiovascular State Informed by Vibroacoustic Sensors.
DOI:10.3390/s24072189 PMID: 38610400