Dr. Anna Teresa Dobracki, MD PHD Allergy & Immunology - Allergy Medicare: Accepting Medicare Assignments Practice Location: 8546 W Grand River Ave, Brighton, MI 48116 Phone: 810-227-0906 Fax: 810-227-6511 |
Mariel Rosati Benjamin, M.D. Allergy & Immunology Medicare: Accepting Medicare Assignments Practice Location: 7500 Challis Rd, 2nd Floor, Brighton, MI 48116 Phone: 810-263-4000 |
Rajan Ravikumar, M.D. Allergy & Immunology Medicare: Accepting Medicare Assignments Practice Location: 7500 Challis Rd, 2nd Floor, Brighton, MI 48116 Phone: 734-647-5940 |
Mark N Zacks, M.D. Allergy & Immunology Medicare: Not Enrolled in Medicare Practice Location: 8619 W Grand River Ave, Ste. J, Brighton, MI 48116 Phone: 810-227-6793 Fax: 810-227-5397 |
News Archive
Researchers at the DZNE and the University Medical Center Göttingen (UMG) have identified molecules in the blood that can indicate impending dementia. Their findings, which are presented in the scientific journal "EMBO Molecular Medicine", are based on human studies and laboratory experiments. Various university hospitals across Germany were also involved in the investigations.
Scientists from A*STAR's Singapore Immunology Network (SIgN) and the University of Milano-Bicocca, Italy, have discovered another signaling pathway for the activation and apoptosis, or programmed cell death, of dendritic cells. This discovery was published in the advanced online publication of Nature on 15 Jun 2009.
ICON plc, a global provider of outsourced development services to the pharmaceutical, biotechnology and medical device industries, today announced that it will expand its footprint in Asia-Pacific with the opening of an office in Manila, Philippines.
Researchers from Boston University School of Medicine (BUSM) have found that among HIV-infected adults with alcohol problems, measuring their carbohydrate-deficient transferrin (CDT) biomarker was a poor and inaccurate method for detecting unhealthy drinking.
The artificial intelligence software, created by researchers at Imperial College London and the University of Melbourne, has been able to predict the prognosis of patients with ovarian cancer more accurately than current methods. It can also predict what treatment would be most effective for patients following diagnosis.
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