News by Subject Medicine & Health

In a study published in the March 5, 2021 online edition of Cerebral Cortex, researchers at University of California San Diego School of Medicine found that specific regions of the brain respond to emotional stimuli related to loneliness and wisdom in opposing ways.

Researchers at Indiana University School of Medicine have successfully reprogrammed a glial cell type in the central nervous system into new neurons to promote recovery after spinal cord injury--revealing an untapped potential to leverage the cell for regenerative medicine.

New research led by George Mason University's College of Health and Human Services faculty Dr. Michelle Williams assessed African American breast cancer survivors' risk factors and knowledge about CVD in the Deep South. They found that although African American breast cancer survivors have a higher prevalence of CVD risk factors, their knowledge about CVD is low.

Studies of the microbiome in the human gut have largely overlooked non-bacterial microbes: viruses, protists, archaea and fungi. Now research in mice points to a significant role for fungi, called the mycobiome, in the intestine. "We showed that the gut mycobiome of healthy mice was shaped by the environment, including diet, and that it significantly correlated with metabolic outcomes," said Kent Willis, M.D.

A study by investigators from Brigham and Women's Hospital and Exosome Diagnostics proposes a new, noninvasive way to test for transplant rejection using exosomes -- tiny vesicles containing mRNA -- from urine samples. Their findings are published in the Journal of the American Society of Nephrology.

A study of national data shows the devastating impact the pandemic has had on those with intellectual disabilities and their caregivers.

A monoclonal antibody "cocktail" developed at Vanderbilt University Medical Center (VUMC) to neutralize the COVID-19 virus is effective against all known strains, or variants, of the virus, according to a report published in the journal Nature Medicine.

Researchers from the IXA group at the UPV/EHU are collaborating with Osakidetza (the Basque Regional Health Service) to create a system for automatically extracting adverse drug reactions from electronic health records written in Spanish. The researchers have conducted different tests using both machine learning and deep learning, with the aim of building a robust model for extracting relations between drug-disease pairs based on clinical text mining.