Brain single-cell study reveals genes that may be involved in post-traumatic stress and major depressive disorders

An international team led by investigators at McLean Hospital has analyzed the genes expressed in approximately 575,000 individual cells from the brains of people with and without post-traumatic stress and major depressive disorders (PTSD and MDD), revealing new insights into the mechanisms behind the brain’s stress response in these conditions.

Researchers develop machine learning models that could improve suicide-risk prediction among children

A new study from UCLA Health researchers finds that the typical ways health systems store and track data on children receiving emergency care miss a sizable portion of those who are having self-injurious thoughts or behaviors. The researchers also found that several machine learning models they designed were significantly better at identifying those children at risk of self-harm.

School project, letter from fifth-grader launch DIY air filter high-tech biochamber testing

The national movement urging the use of the inexpensive, build-it-yourself “Corsi-Rosenthal” box air purifiers to easily remove unhealthy air particles from indoor community settings like classrooms and homes has been growing from the University of Connecticut to across the country—and now all the way to the U.S. Environmental Protection Agency’s (EPA) Homeland Security Division Laboratory for high-tech, advanced biochamber research testing of this device.

Q&A: Lab on a chip technologies to improve the assessment of stored red blood cells

Ziya Isiksacan, Ph.D., a research fellow in the Center for Engineering in Medicine and Surgery (CEMS) is the lead author, and Osman Berk Usta, Ph.D., an investigator in the CEMS at Massachusetts General Hospital and an associate professor of Surgery at Harvard Medical School, is the senior author of a new study published in PNAS, titled “Assessment of Stored Red Blood Cells Through Lab-on-a-Chip Technologies for Precision Transfusion Medicine.”