The landscape of professional work is undergoing a fundamental shift, as detailed in the 2024 Work Trend Index Annual ...

A new risk prediction model shows good predictive value in identifying risk for neurogenic bladder (NB) after spinal cord injury (SCI) and guiding clinical interventions, according to a study ...

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 ...

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

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 ...

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, ...

According to Brian Ferdinand, a portfolio manager at EverForward and Strategic Advisor to Helix Alpha Systems, predictive ...

New model harnesses machine learning and 15Five’s vast dataset spanning 6 years, 30 million responses and thousands of organizations SAN FRANCISCO--(BUSINESS WIRE)--15Five, the strategic performance ...

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.

Problem: While anyone can use genAI, predictive AI is generally out of reach. Solution: Use genAI to steer your predictive AI project. So much potential. Predictive AI often delivers more value than ...