Page 13 - Mortality Longevity News Today : Breaking News, Live Updates & Top Stories | Vimarsana

 E-Mail IMAGE: Low-income mothers feminize their children in the womb by adjusting their hormones, whereas high-income mothers masculinize their children, a major study based on finger length, led by a Swansea University... view more  Credit: John Manning, Swansea University Low-income mothers feminize their children in the womb by adjusting their hormones, whereas high-income mothers masculinize their children, a major study based on finger length, led by a Swansea University expert, has found. The phenomenon is an unconscious evolutionary response aimed at boosting their offspr...

Researchers at Geisinger have found that a computer algorithm developed using echocardiogram videos of the heart can predict mortality within a year. The algorithm--an example of what is known as machine learning, or artificial intelligence (AI)--outperformed other clinically used predictors, including pooled cohort equations and the Seattle Heart Failure score.

 E-Mail IMAGE: Dr. David Cachia is leading MUSC Hollings Cancer Center's portion of a national study to help understand how cancer patients who also contract COVID-19 are impacted long-term. view more  Credit: MUSC Hollings Cancer Center Researchers at MUSC Hollings Cancer Center have joined a nationwide study to look at the long-term outcomes of cancer patients who have been diagnosed with COVID-19. The study, which is led by the National Cancer Institute (NCI) and involves the participation of cancer centers across the country, hopes to answer critical questions about how the two ...

A new West Virginia University-led injury mortality study combines most drug overdose deaths with all suicides into an expanded self-injury category. Exposing a mental health crisis that has unraveled across the United States over the past two decades, study data have direct implications for suicide prevention efforts.

 E-Mail IMAGE: Medical director of high-risk populations and outcomes, UPMC Wolff Center; associate professor of surgery, University of Pittsburgh School of Medicine. view more  Credit: UPMC PITTSBURGH, Feb. 8, 2021 - With the aid of sophisticated machine learning, researchers at UPMC and the University of Pittsburgh School of Medicine demonstrated that a tool they developed can rapidly predict mortality for patients facing transfer between hospitals in order to access higher-acuity care. This research, published today in PLOS One, could help physicians, patients and their families...