Lillian Sedacca Bayer, PA-C Physician Assistant Medicare: Not Enrolled in Medicare Practice Location: 3801 Hauck Rd, Sharonville, OH 45241 Phone: 513-853-1040 |
Lauren Henry, PA-C Physician Assistant Medicare: Not Enrolled in Medicare Practice Location: 3801 Hauck Rd, Sharonville, OH 45241 Phone: 513-853-1040 |
Sydney Marie Hoffmann, PA-S Physician Assistant - Surgical Medicare: Medicare Enrolled Practice Location: 500 E Business Way, Sharonville, OH 45241 Phone: 513-354-3700 |
Mr. Christopher Barton Hackett, PA-C Physician Assistant Medicare: Accepting Medicare Assignments Practice Location: 12089 Lebanon Rd, Sharonville, OH 45241 Phone: 513-914-5002 |
News Archive
Although cure rates for children with cancer are increasing, cancer treatments can cause permanent deterioration of brain functions leading to impairments in attention, concentration, memory and learning. As a result, these changes can lead to challenges with school, obtaining future employment and overall quality of life into adulthood, even though cancer treatment may have been successful.
Bacteria hunker down and survive antibiotic attack when a protein flips a chemical switch that throws them into a dormant state until treatment abates, researchers at The University of Texas M. D. Anderson Cancer Center report in the Jan.16 edition of Science.
The Chrysler Group will save itself tens of millions of dollars in health costs through changes it has won from the United Auto Workers union while costing employees and their family up to $1,000 in health care deductibles, according to a deal reported in the Detroit News, which it said is outlined in a March 10 letter to workers, but not publicly announced by either the union or the company.
Researchers from Cambridge have come up with a new study that shows that some foods may influence the spread of certain cancers. Asparagine for example is a nutrient present in asparagus. If this nutrient is absent, the growth of breast cancer can be slowed, they note. The results of the study are published in the latest issue of the journal Nature.
A team of researchers from the Icahn School of Medicine at Mount Sinai and Keck School of Medicine at the University of Southern California have developed a novel machine-learning framework that distinguishes between low- and high-risk prostate cancer with more precision than ever before.
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