Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Researchers at Palo Alto, Calif.,-based Stanford Medicine have developed an AI model capable of predicting an individual’s risk of developing more than 100 health conditions using sleep study data.

For decades, chronic disease management in Medicare has been hampered by a fee-for-service payment system that rewards volume and activity rather than true clinical improvement. This model created ...

MUMBAI: At a press conference on Monday, a citizen-led civic platform unveiled a \"humane, science-based alternative\" to the ...

Objectives To examine the association between social determinants of health (SDH) and outcomes in systemic lupus ...

Novo Nordisk names eMed a Novocare® Recognized Care Provider for first and only oral GLP-1 for weight lossMIAMI, /PRNewswire/ ...

AI system predicts risk for 130 diseases from one night's sleep with up to 85% accuracy. Sleep patterns show hidden health ...

Goal is to prepare University of California health centers for success in value-based care models by participating in ...

Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...

This toolkit supports integrated care boards (ICBs), their place-based partners, health and care providers to work with service users and professionals to improve the postnatal care experience and ...

Introduction Integrating smoking cessation supports into lung cancer screening can improve abstinence rates. However, ...

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...