The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...

Objective To determine whether a full-scale randomised control trial (RCT) assessing the efficacy and cost-effectiveness of a ...

Introduction Implementation of low-intensity, evidence-based psychological interventions can help meet the mental health and ...

The modern healthcare data stack unifies patient data for real-time clinical and operational insights to improve decision-making in health systems.

CMS’ new ACCESS model, slated to begin on July 1, aims to shift traditional Medicare fee-for-service toward value-based care by tying payments to patient outcomes and encouraging tech-enabled, ...

Patients with irritable bowel syndrome could benefit from using an AI-enhanced digital collaborative care model that combines ...

Doctors may soon be able to diagnose an elusive form of heart disease within seconds by using an AI model developed at ...

For years, many healthcare executives treated claim denials as a back-office irritation—a revenue problem to be delegated, ...

As rates of obesity, high blood pressure, type 2 diabetes and sleep apnea increase, cases of advanced chronic liver disease ...

Background Fermented foods are a promising yet underexplored intervention for influencing brain function and mental health through the gut–brain axis. Objective The objective of this study was to ...

Mayo Clinic model doubles liver disease detection by analyzing ECG data to identify advanced chronic liver disease earlier in asymptomatic patients.

C. Ola Landgren, M.D., Ph.D., received HealthTree Foundation's prestigious 2025 Innovation Award for his work in developing CORAL, a new research tool that leverages AI to predict individual outcomes ...