Nurse Practitioner in Glen Rock, NJ Accepting Medicare
3 Nurse Practitioner nurses found. Showing 1 - 3
 Jane O'rourke, APN Nurse Practitioner - Psych/Mental Health Medicare: Accepting Medicare Assignments Practice Location: 26 Roxbury Pl, Glen Rock, NJ 07452 Phone: 201-655-3292 Fax: 201-444-4912 |
Connie Putrino Adamek, NP Nurse Practitioner - Adult Health Medicare: Medicare Enrolled Practice Location: 83 Central Ave, Glen Rock, NJ 07452 Phone: 201-314-2747 |
Kelly Bhuva, CPNP Nurse Practitioner - Pediatrics Medicare: Medicare Enrolled Practice Location: 655 Doremus Ave, Glen Rock, NJ 07452 Phone: 732-674-4643 |
News Archive
Study provides the most comprehensive look yet on COVID-19 hospital mortality
A new study of hospital deaths in the United States, published today in JAMA Network Open, is the most comprehensive look yet at changes in hospital mortality during the pandemic.
U.S. calls for 'unfettered' access to provide humanitarian assistance to 4M Somalis
Nancy Lindborg, USAID's assistant administrator for the Bureau for Democracy, Conflict and Humanitarian Assistance, writes in this post in USAID's "IMPACTblog" that the U.S. "continues to call on all parties involved to allow unfettered humanitarian access to Somalis in need."
Hot spots where covid vaccination lags push experimental antibody treatment
For months, Joelle Ruppert was among the millions of Americans who are covid vaccine holdouts. Her reluctance, she said, was not so much that she opposed the new vaccines but that she never felt "compelled" by the evidence supporting their experimental use.
Researchers develop, test new blood assay that predicts patients at risk of death from sepsis
After decades of little or no progress, biomedical researchers are finally making some headway at detecting and treating sepsis, a deadly medical complication that sends a surge of pathogenic infection through the body and remains a major public health problem.
Pediatric brain tumors can be classified using diffusion weighted imaging and machine learning
Diffusion weighted imaging and machine learning can successfully classify the diagnosis and characteristics of common types of pediatric brain tumors a UK-based multi-center study, including WMG at the University of Warwick has found.
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