AI can use sleep data from a single night to identify patterns linked to disease risk years before symptoms appear.

Inpatient clinical care teams generally use tools such as bed alarms, gait belts, closer nursing station placement and more to prevent patient falls. But those interventions can hinder clinical ...

AI from Stanford Reads Disease Risks in Sleep: SleepFM Predicts Over 130 Ailments from One Night.

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

High-Grade Serous Carcinoma at Risk-Reducing Salpingo-Oophorectomy in Asymptomatic Carriers of BRCA1/2 Pathogenic Variants: Prevalence and Clinical Factors We performed a case-cohort study of 8,604 ...

The LIFE-T1D model, demonstrated an ability to estimate the lifetime risk of heart disease among several groups of people with type 1 diabetes (T1D). Researchers have developed a tool they say can ...

Powered by advanced factor research and daily refreshed data, Bloomberg’s MAC3 Risk Model transforms how investors see and manage risk in a multi-asset world. Bloomberg MAC3 gives investors a unified ...