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Michael S. Sabel, M.D.
Michael S. Sabel, M.D.
Michael S. Sabel, M.D.
William W. Coon Collegiate Professor of Surgical Oncology
Chief, Division of Surgical Oncology

University of Michigan Health Systems
1500 E. Medical Center Drive
3303 Cancer Geriatric Center SPC 5932
Ann Arbor, MI 48109-5932
biography

Michael S. Sabel, MD, FACS is the William W. Coon Collegiate Professor of Surgical Oncology in the Department of Surgery and the Chief of the Division of Surgical Oncology. He completed his undergraduate training at Pennsylvania State University and obtained his medical degree from Temple University School of Medicine in Philadelphia. His general surgery residency was performed at Rush-Presbyterian-St. Luke’s Medical Center in Chicago. Dr. Sabel completed an NIH-T32 research fellowship in tumor immunology and a surgical oncology fellowship at Roswell Park Cancer Institute in Buffalo, NY. Dr. Sabel joined the University of Michigan faculty in 2001. He has been listed in Best Doctors in America in Surgical Oncology every year since 2007 and has named as one of the U.S. News and World Report Top Doctors in Surgery since 2011.

Dr. Sabel’s clinical interests are in the area of surgical oncology, with special expertise in breast cancer and melanoma. Dr. Sabel’s research interests focus on the immune response to cancer cell death, particularly after cryoablation (freezing) of cancer, and he is an internationally recognized expert in the field of cryo-immunology. He also has several clinical trials examining cryoablation of breast cancer. Dr. Sabel’s lab is also focused on the identification of prognostic and predictive markers in oncology, using both serum proteomic and tissue microarray approaches, to help guide surgical and adjuvant therapy.

In addition to his clinical and basic science interests, Dr. Sabel has strong clinical interests in the use of mobile technologies to improve patient-physician communication and improve outcomes. He is the creator of two present apps; UMSkinCheck for self skin exam and early melanoma detection, and BreastCancerAlly, a mobile patient navigator app for patients with breast cancer, with several more in development.