Dr. Anastasia C. Anagnostopoulos, M.D. Pathology - Anatomic Pathology & Clinical Pathology Medicare: Not Enrolled in Medicare Practice Location: 100 Port Washington Blvd, St Francis Hospital Pathology Dept, Roslyn, NY 11576 Phone: 516-562-6413 Fax: 516-562-6427 |
Shella Kumar Mongia, MBBS, MD Pathology - Molecular Genetic Pathology Medicare: Medicare Enrolled Practice Location: 381 Elm Dr, Roslyn, NY 11576 Phone: 917-476-5173 |
Peter Hoffmann, M.D. Pathology - Anatomic Pathology & Clinical Pathology Medicare: Accepting Medicare Assignments Practice Location: 100 Port Washington Boulevard, Sfh - Laboratory, Roslyn, NY 11576 Phone: 516-562-6414 Fax: 516-562-6427 |
News Archive
Women with ovarian cancer who have the BRCA2 gene mutation are more likely to survive the malignancy than women with the BRCA1 mutation, or women without either mutation.
Osteotech, Inc., a leader in the emerging field of biologic products for regenerative healing, announced today that a record date and a special meeting date have been established for Osteotech's stockholders to vote on the proposal to adopt the previously announced merger agreement by and among Osteotech, Medtronic, Inc. Medtronic Sofamor Danek, Inc., a wholly owned direct subsidiary of Medtronic and England Merger Corporation, a wholly owned direct subsidiary of MSD.
Today, U.S. scientists committed to finding answers to reducing and eliminating what are known as neglected tropical diseases (NTDs) that plague the world's poorest people in developing countries, urged the FDA to include in its orphan classification the neglected infections of poverty that also affect Americans, and expressed support for stronger relationships with the FDA to ultimately halt these ancient scourges.
The White House Office of Management and Budget (OMB) on Friday released a report (.pdf) describing the budgetary impacts of sequestration "mandated by the 2011 Budget Control Act," which would require an annual reduction in government spending of $109 billion per year for nine years, National Journal reports.
A team of scientists from VIB and KU Leuven has developed a machine learning algorithm that identifies children with juvenile arthritis with almost 90% accuracy from a simple blood test.
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