Rising rehospitalization rates among skilled nursing facility (SNF) residents are not just costly — averaging over $15,000 per readmission — they hinder clinicians’ ability to deliver efficient and ...

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...

New research reveals a model to predict chronic immune thrombocytopenia in children at diagnosis. Learn how it could guide ...

Modern credit risk management now leans significantly on predictive modelling, moving far beyond traditional approaches. As lending practices grow increasingly intricate, companies that adopt advanced ...

Sepsis, a life-threatening condition caused by the body's dysregulated response to infection, remains a leading cause of mortality in ICUs worldwide. Despite advancements in medical technology, ...

Can anyone remember their life before artificial intelligence (AI)? Many struggle with that, but what I do remember is how things worked in the business sector, especially in education.

A predictive model identifies RA patients at risk of D2T-RA, using machine learning and real-world data for early intervention. Patient-reported outcomes, such as pain and fatigue, are stronger ...

Vaibhav Tummalapalli is using AI-driven models and scalable data platforms to help auto brands identify and convert ...

A logistics analyst and research innovator, turning operational data into forecasts that teams can trustAnalytics breaks down ...

IISc’s Centre for Brain Research has announced the six-month programme in partnership with Alzheimer’s Disease Data ...