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Kenneth Iczkowski is a Professor at UC Davis Health, specializing in Anatomic Pathology. He has extensive experience in urological anatomic pathology and general pathology, particularly focused on cardiovascular and transplant pathology. His clinical interests include diagnostic consultation for prostate, bladder, testicular, kidney, and penile cancers, with special expertise in the grading criteria of prostate cancer. Dr. Iczkowski applies artificial intelligence and machine learning techniques in his pathology work, alongside spatial transcriptomics to correlate molecular and histologic findings. His research centers around pathologic-radiologic correlation, utilizing AI to match microscopic findings with radiological results. He is currently involved in collaborations targeting bladder cancer therapies and has a strong background in basic science research on prostate cancer and its associated cell adhesion molecules that are pivotal in growth and metastasis.
UC Davis Health • Sacramento, CA
Specializing in Anatomic Pathology with a focus on urological, cardiovascular, and transplant pathology.
Department of Computer Science. GRE is NOT required.