Dr. Michelle Lindsey Hobbs, D.O. Obstetrics & Gynecology Medicare: Medicare Enrolled Practice Location: 4881 Sugar Maple Dr, Wright Patterson Afb, OH 45433 Phone: 937-257-0837 |
Dr. Jason Carlisle Massengill, M.D. Obstetrics & Gynecology Medicare: Medicare Enrolled Practice Location: 4881 Sugar Maple Dr, Wright Patterson Afb, OH 45433 Phone: 937-257-1941 Fax: 937-257-3012 |
Michelle Lewis, D.O. Obstetrics & Gynecology Medicare: Medicare Enrolled Practice Location: 88 Mdg/sghj, 4881 Sugar Maple Dr, Wright Patterson Afb, OH 45433 Phone: 937-257-9564 |
Felicity Neige Rausch Harl, MD Obstetrics & Gynecology Medicare: Medicare Enrolled Practice Location: 4881 Sugar Maple Dr, Wright Patterson Afb, OH 45433 Phone: 937-257-1160 |
Mckayla Brianne Johnson Riggs, MD Obstetrics & Gynecology Medicare: Medicare Enrolled Practice Location: 88 Mdg/sghj, 4881 Sugar Maple Dr, Wright Patterson Afb, OH 45433 Phone: 937-656-3798 |
Dr. Halei K Wong, M.D. Obstetrics & Gynecology - Female Pelvic Medicine and Reconstructive Surgery Medicare: Medicare Enrolled Practice Location: 4881 Sugar Maple Dr, Wright Patterson Afb, OH 45433 Phone: 937-257-1160 Fax: 405-271-8547 |
News Archive
Women with epilepsy who take the antiseizure drug valproic acid while pregnant are at more than double the risk of having children with autism spectrum disorder and nearly double the risk of having children with attention deficit hyperactivity disorder (ADHD), according to a study in the October 28, 2020, online issue of Neurology, the medical journal of the American Academy of Neurology.
Interest in cancer prevention is increasing as scientists continue to learn new information and confirm what was already suspected.
Patients and healthcare providers at the Princess Margaret Cancer Centre rated virtual care during COVID-19 as highly satisfactory overall for quality of care and convenience, while at the same time saving patients millions in costs.
Researchers from four leading cancer centers have confirmed that an analysis involving a panel of genes can be used to predict which lung cancer patients will have the worst survival. The finding could one day lead to a test that would help determine who needs more aggressive treatment.
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