Internal Medicine Doctors in Erwin, TN Accepting Medicare
3 Internal Medicine doctors found. Showing 1 - 3
 Dr. Charles G Miller Ii, DO Internal Medicine Medicare: Accepting Medicare Assignments Practice Location: 500 Love St, Erwin, TN 37650 Phone: 423-735-4160 Fax: 423-735-4159 |
Gordon Wyche Moughon, MD Internal Medicine Medicare: May Accept Medicare Assignments Practice Location: 630 Oneega Avenue, Suite B, Erwin, TN 37650 Phone: 423-743-6169 |
 Dr. Sameera Natarajan, MD Internal Medicine Medicare: Accepting Medicare Assignments Practice Location: 100 Greenway Cir, Erwin, TN 37650 Phone: 423-743-0373 |
News Archive
Defibrillator does not improve outcomes in patients with CRT pacemaker
Most patients with a cardiac resynchronisation therapy (CRT) pacemaker would not benefit from the addition of a defibrillator, according to results from the CeRtiTuDe cohort study presented for the first time today at ESC Congress1 and published in European Heart Journal.
Calcium to cure cardiovascular problems
Calcium is crucial for heart regeneration by cardiac stem cells following cardiovascular problems say scientists in an article to be published in the journal Circulation Research this 9th of October.
Polyuridine sequence of mouse coronavirus can be targeted to prevent host cell death
A new study reports the use of a modified deoxyribonucleic acid (DNA) oligonucleotide that has a 3' polyadenine (polyA) tail to bind to the 5'-polyU tract in the mouse coronavirus (MHV-A59). Treatment of mouse cells infected with MHV-A59 with this molecule led to a marked reduction in cell deaths.
Regenstrief investigator recognized as American College of Medical Informatics fellow
Regenstrief Institute investigator Shaun Grannis M.D., M.S., associate professor of family medicine at the Indiana University School of Medicine, has been inducted as a fellow of the American College of Medical Informatics. He joins a select elected group of individuals who have made significant and sustained contributions to the field of biomedical informatics.
Deep learning provides a better estimate of breast cancer risk
Compared with commonly used clinical risk factors, a sophisticated type of artificial intelligence (AI) called deep learning does a better job distinguishing between the mammograms of women who will later develop breast cancer and those who will not, according to a new study in the journal Radiology.
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