Dr. James Kenneth Burks, M.D. Internal Medicine - Endocrinology, Diabetes & Metabolism Medicare: Medicare Enrolled Practice Location: 701 W 5th St, Odessa, TX 79763 Phone: 432-335-1777 Fax: 432-335-1815 |
Dr. Jeffrey Perlman, M.D. Internal Medicine - Endocrinology, Diabetes & Metabolism Medicare: Accepting Medicare Assignments Practice Location: 318 N Alleghaney Ave, Suite 201, Odessa, TX 79761 Phone: 432-332-1144 Fax: 432-332-9708 |
Varuna Nargunan, M.D Internal Medicine - Endocrinology, Diabetes & Metabolism Medicare: Accepting Medicare Assignments Practice Location: 315 Golder Ave, Odessa, TX 79761 Phone: 432-640-3052 Fax: 432-640-4760 |
Dr. Ramachandra Rahul Vachan Chemitiganti, MD Internal Medicine - Endocrinology, Diabetes & Metabolism Medicare: Accepting Medicare Assignments Practice Location: 701 W 5th St, Odessa, TX 79763 Phone: 432-335-1777 Fax: 432-335-1815 |
News Archive
Men who take non-steroidal anti-inflammatory drugs three times a day for more than three months are 2.4 times more likely to have erectile dysfunction compared to men who do not take those drugs regularly, according to a Kaiser Permanente study published online in The Journal of Urology.
Quantum machine learning, an emerging field that combines machine learning and quantum physics, is the focus of research to discover possible treatments for COVID-19, according to Penn State researchers led by Swaroop Ghosh, the Joseph R. and Janice M. Monkowski Career Development Assistant Professor of Electrical Engineering and Computer Science and Engineering.
Many low-income women are failing to take the hormonal therapy prescribed as part of their breast cancer treatment, possibly lowering their survival rates, according to a study led by a researcher in the Duke Comprehensive Cancer Center.
A promising new molecular imaging technique may provide physicians and patients with a noninvasive way to learn more information about a type of cancer of the uterus lining called "endometrial carcinoma"-one of the most common malignant female tumors. This research was presented in a study published in the October issue of The Journal of Nuclear Medicine.
A national risk model that gauges a woman's chance of developing breast cancer has been refined to give a more accurate assessment. The revised figures, based on data from more than one million patients, reveal a 300 percent increase in a subset of women whose five-year risk is estimated at 3 percent or higher.
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