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Sentinels in the Blood: a New Diagnostic for Pancreatic Cancer

Despite enormous research strides, detection methods for many diseases remain cumbersome and expensive, and often uncover illness only at advanced stages, when patient outcomes can be bleak. One such illness is pancreatic cancer, which may display no obvious symptoms in its early stages, yet can develop aggressively. Indeed, according to the American Cancer Society, a staggering 80 percent of those stricken with this form of cancer die within 1 year of diagnosis.

Sickle Cell Trait May Confound Blood Sugar Readings Among African-Americans

A new study in JAMA provides evidence that hemoglobin A1c (HbA1c), a common blood biomarker used to measure blood sugar over time, may not perform as accurately among African-Americans with sickle cell trait and could be leading to a systemic underestimation of blood sugar control among that population.

Doctors Create ‘MAGIC Algorithm’ to Predict Bone Marrow Transplant Patients’ Risk of Dying

Researchers at Mount Sinai Health System have discovered a way to predict whether blood cancer patients who received a bone marrow transplant will develop graft-versus-host disease, a common and often lethal complication, according to a study published in JCI (The Journal of Clinical Investigation) Insight.

First Blood Biomarker Discovered for the Prognosis of Multiple Sclerosis: Quick, Accurate and Soon to be Available

An international study, led by Macquarie University researchers Dr Edwin Lim and Professor Gilles Guillemin, has discovered the first blood biomarker – a chemical identifier in the blood – for multiple sclerosis (MS), a debilitating disorder of the central nervous system that affects more than 23,000 Australians and 2.3 million people worldwide.

Candidate Biomarkers for Postmenopausal Osteoporosis

An article published in Experimental Biology and Medicine (Volume 242, Issue 2, January, 2017) reports a new method for identifying women at risk for osteoporotic fractures. The study, led by Dr. Katre Maasalu, Associate Professor and orthopedic surgeon from Traumatology and Orthopeadic Clinic of Tartu University, demonstrated that a biomarker panel consisting of six genes could distinguish postmenopausal women with osteoporosis, a major risk factor for fracture, from those without osteoporosis.