Speaker Profile
Frank Lee Schwartz

Frank Lee Schwartz MD

Osteopathic Medicine, Endocrinology, Metabolism and Diabetes
Athens, Ohio, United States of America

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Frank Lee Schwartz recently retired from clinical practice after nearly 40 years. He is looking for part-time consulting work primarily in the field of clinical diabetes management; primarily in T1DM/pump/hybrid closed-loop insulin pump CGM pattern analysis/wearable physiologic monitoring & data management for algorithm adjustments.

He have both basic and clinical research interests. My basic research work involved collaboration primarily with Kelly McCall, PhD and Ramiro Malgor, MD, investigating pathologic expression of Toll-Like Receptors (TLR) in non-immune cells and their role in the pathogenesis of autoimmune/inflammatory Diseases; particularly both type I and type II Diabetes, obesity/insulin resistance/oncogenesis, and atherosclerosis. They developed a drug (phenyl methimazole or C10) & multiple derivatives (Doug Goetz, PhD & Steve Bergemyer) which blocks environmental stimulation (viral DNA & RNA fragments, NFFA, LDL cholesterol, etc.) of pathologic expression/signaling of TLR pathways within non-immune cells. In the NOD mouse model of T1DM we have shown that knocking our the TLR receptor and C10 protect mice from viral-induction of diabetes. It potentially could be used to delay or prevent both Type I (viral induction) and prevent/treat Type II diabetes (obesity/palmitate/FFA).

His clinical research interests ranged from barriers to diabetes care prevalence/persistence of T2DM/depression in Appalachia collaborating with Mary DeGroot, PhD and Jay Shu brook, DO. Cindy Marling, PhD and he has been developing case-based reasoning software to scan large volumes of patient pump/glucose monitoring data (CGM) and then provide intelligent decision support for patients with type I diabetes on insulin pump therapy (4DSS). They are currently testing a smart phone interface to communicate life-event data from patients and diabetes management suggestions to the patient. Razvan Bunescu, PhD has brought machine learning techniques such as support vector regression analysis of glucose levels. This software could be used in a "diabetes download" center to interpret & provide pattern analysis for controllers operating “hybrid” closed-loop insulin pump systems.

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