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Kenji Ikemura is an Assistant Professor in Clinical Pathology and Laboratory Medicine at Cornell University. He has a background in Clinical Translational Science, having received funding as a Co-Principal Investigator for multiple projects within the institution. His research focuses on the application of machine learning in clinical settings, particularly concerning molecular oncology testing and patient care in infectious diseases. He has co-authored significant studies published in peer-reviewed journals addressing the current challenges in pathology diagnostics, including the use of automated machine learning for predicting patient outcomes in COVID-19 and analyzing various coagulation parameters. His academic contributions highlight the integration of technology in medical practice and the importance of accurate laboratory medicine. Throughout his career, Kenji has been involved in various research initiatives aiming to improve diagnostic methodologies and patient prognosis, underlining the evolving role of technology in healthcare.
Cornell University • Ithaca, NY
Teaching and conducting research in Clinical Pathology and Laboratory Medicine.
Department of Architecture