The innovative research conducted by our physicians and faculty has paved the way for more effective methods of prevention, diagnosis, and treatment of endocrine disorders. Visit the below sections to learn more:
The legacy of Dr. Jerome Conn (former Division Chief of Metabolism, Endocrinology & Diabetes) includes his discovery of the syndrome that bears his name - listen to him describe it in his own words.
Elif Oral, MD, MS leads Michigan Medicine team in a nationwide study funded by the NIH that will seek to discover and define rare and atypical forms of diabetes.
Debbie Chen, MD and Megan Haymart, MD find that up to one-third of physicians are sending patients for a thyroid ultrasound for reasons not supported by clinical care guidelines.
Roma Gianchandani, MD, first author of a new Diabetes paper, developed a tool to identify and manage high blood sugar in patients with COVID-19.
A Michigan Medicine team, led by Rodica Pop-Busui, MD, PhD; Crystal Holmes, DPM, CWS; and Brian Schmidt, DPM, investigate biomarkers to improve how foot ulcers are treated and healed.
- Facilitate and focus basic molecular and cellular research in all areas of metabolic and endocrine disorders.
- Promote the validation and application of relevant new basic knowledge in the clinical arena through rational, innovative and streamlined clinical, epidemiological and outcomes research.
- Evaluate, refine, and disseminate new clinical knowledge regarding diabetes and related disorders into community health practices, especially in those communities at increased risk.
- Recruit, train, motivate, and retain an effective pool of basic and clinical investigators and health care professional personnel in all areas of endocrinology and metabolism.
Committed to an internationally recognized mission of basic science research, the Division of Metabolism, Endocrinology & Diabetes conducts cutting-edge investigations in the areas of diabetes, obesity, thyroid, adrenal, pituitary, and neuroendocrine diseases. Studies are conducted at the molecular, cellular, and physiological levels, using a wide range of model systems.