Our Staff
Dr Jeff Edman
Trained at UC Davis and UC San Francisco, he has been a scientist, a UCSF professor, an inventor, and community clinic physician. His research work focused on the molecular basis of hormone action and the molecular biology of human fungal infections. He is certified in Anti-aging and Regenerative Medicine from the American Board of Anti-Aging and Regenerative Medicine. He currently is focussing on making better healthcare decisions through technology and good "old-fashioned" lifestyle changes.
While practicing as medical director of a community clinic, he grew to appreciate the failure of traditional medicine in the diagnosis and treatment of most chronic diseases. Traditional medicine emphasizes the treatment of chronic disease by treating symptoms and lab values (think about how pain and high cholesterol are treated). As physicians, we have kow-towed to the "evidence-based medicine" (EBM) model even when it conflicts with our intimate knowledge of the patient and with our own well-developed intuition. Legal and insurance issues have made EBM a firm set of rules that must be obeyed. Financial interests of big pharma dictate the types of studies that get done and these studies end up being the very ones that dictate EBM guidelines.
Dr. Edman doesn't accept that we just treat numbers and symptoms. He believes that the root cause of disease should be sought for and, when possible, treated. Sometimes, the cause is straightforward. Most often, however, it is a complex interplay of genes and environment. With recent advances in genomics, we can often dissect out the gene contribution and studies are beginning to tease out the effects of environment (most often supporting the importance of a healthy environment - both internal and external).
Dr. Edman has received advanced training in a variety of aesthetic procedures including: Botox, fillers, laser rejuvenation, PDO thread lifts, microneedling and much more. He provides a complete repertoire of aesthetic protocols to make you look and feel your best.