News
An advanced Johns Hopkins AI model called MAARS combs through underused heart MRI scans and complete medical records to spot hidden scar patterns that signal sudden cardiac death, dramatically ...
Patients with cancer who participated in an exercise program lived longer without a recurrence of cancer and had a lower risk ...
1don MSN
A team of researchers from the MIT Sloan School of Management, the Sean M. Healey & AMG Center for ALS at Massachusetts ...
21hon MSN
Use precise geolocation data and actively scan device characteristics for identification. This is done to store and access information on a device and to provide personalised ads and content, ad and ...
A new AI model is much better than doctors at identifying patients likely to experience cardiac arrest. The linchpin is the ...
A new AI algorithm is nearly twice as accurate as physicians at forecasting a sudden cardiac arrest in people with ...
22hOpinion
The New Republic on MSNVaccine Shortages. Viral Outbreaks. Widespread Illness. More Death.This could be America’s future if Robert F. Kennedy Jr. continues his rampage against public health—and it may arrive much ...
1d
News-Medical.Net on MSNAI model predicts death from sudden cardiac arrest with greater accuracy than doctorsMultimodal AI for ventricular Arrhythmia Risk Stratification (MAARS), predicts individual patients' risk for sudden cardiac ...
Individuals with MASLD with a lean vs nonlean body type have increased mortality and cardiovascular disease, among other outcomes.
Fat isn’t just a guilty pleasure — it’s cancer’s secret weapon. New research from UT Southwestern Medical Center is shedding ...
In a first step toward FDA approval of kidney xenotransplantation, a living human with end-stage kidney disease may receive a ...
Targeted Oncology connects oncology professionals with updates on immunotherapy, biomarkers, cancer pathways, and targeted ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results