Kayvan Najarian, PhD
Professor of Computational Medicine and Bioinformatics
Professor of Emergency Medicine
Professor of Electrical Engineering and Computer Science
Executive Director, UMOR
[email protected]

Available to mentor

Kayvan Najarian, PhD
Professor
  • Center Memberships
  • Research Overview
  • Links
  • Recent Publications
  • Center Memberships
    • Center Member
      Center for Integrative Research in Critical Care
    • Center Member
      Institute for Healthcare Policy and Innovation
    • Center Member
      Caswell Diabetes Institute
    • Center Member
      e-Health and Artificial Intelligence Initiative
    Research Overview

    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.

    Links
    • Najarian Lab
    Recent Publications See All Publications
    • Journal Article
      Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data.
      Zhang Y, Golbus JR, Wittrup E, Aaronson KD, Najarian K. BMC Med Inform Decis Mak, 2024 Feb 14; 24 (1): 53 DOI:10.1186/s12911-024-02453-y
      PMID: 38355512
    • Journal Article
      Prediction of pediatric peanut oral food challenge outcomes using machine learning.
      Gryak J, Georgievska A, Zhang J, Najarian K, Ravikumar R, Sanders G, Schuler CF. J Allergy Clin Immunol Glob, 2024 Aug; 3 (3): 100252 DOI:10.1016/j.jacig.2024.100252
      PMID: 38745865
    • Journal Article
      Mechanistic Assessment of Cardiovascular State Informed by Vibroacoustic Sensors.
      Zare A, Wittrup E, Najarian K. Sensors (Basel), 2024 Mar 29; 24 (7): DOI:10.3390/s24072189
      PMID: 38610400
    • Journal Article
      Distinguishing Infection- Vs. Non-Infection-Related Febrile Neutropenia in HCT Patients By Machine Learning Analysis of Continuous Body Temperature Data Collected Using a Wearable Sensor
      Ren X, Mayhew K, Rozwadowski M, Khan S, Rao A, Kumar R, Najarian K, Paludo J, Binder AF, Sung AD, Choi SW, Tewari M. Transplantation and Cellular Therapy, 2024 Feb; 30 (2): s119 - s120. DOI:10.1016/j.jtct.2024.01.006
    • Journal Article
      Leveraging Multi-Annotator Label Uncertainties as Privileged Information for Acute Respiratory Distress Syndrome Detection in Chest X-ray Images.
      Gao Z, Wittrup E, Najarian K. Bioengineering (Basel), 2024 Jan 29; 11 (2): DOI:10.3390/bioengineering11020133
      PMID: 38391619
    • Journal Article
      Prediction of Pediatric Peanut Oral Food Challenge Outcomes using Machine Learning
      Gryak J, Zhang J, Najarian K, Ravikumar R, Sanders G, Schuler C. Journal of Allergy and Clinical Immunology,
    • Journal Article
      Sepsis Trajectory Prediction Using Privileged Information and Continuous Physiological Signals.
      Alge OP, Gryak J, VanEpps JS, Najarian K. Diagnostics (Basel), 2024 Jan 23; 14 (3): DOI:10.3390/diagnostics14030234
      PMID: 38337750
    • Journal Article
      Using Computer Vision to Improve Endoscopic Disease Quantification in Therapeutic Clinical Trials of Ulcerative Colitis.
      Stidham RW, Cai L, Cheng S, Rajaei F, Hiatt T, Wittrup E, Rice MD, Bishu S, Wehkamp J, Schultz W, Khan N, Stojmirovic A, Ghanem LR, Najarian K. Gastroenterology, 2024 Jan; 166 (1): 155 - 167.e2. DOI:10.1053/j.gastro.2023.09.049
      PMID: 37832924
    Featured News & Stories
    Department News
    DATA research call for proposals
    DATA research call for proposals in the DCMB at the U-M Medical School.
    Department News
    Kayvan Najarian received a Fulbright Specialist award
    Kayvan Najarian in the department of computational medicine and bioinformatics at the University of Michigan received a Fulbright Specialist award.
    Department News
    Clinical research and data science come together to improve diagnostic capabilities
    Clinical research and data science come together to improve diagnostic capabilities
    Department News
    AI in the Najarian Lab
    AI-based enhancement of medical diagnosis in disciplines such as emergency medicine and cardiology