The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare ...

James McDonagh discusses how AI and machine learning are transforming drug discovery and safety assessment, enhancing ...

BACKGROUND: Screening for atrial fibrillation (AF) on the basis of AF risk may be more effective. We aimed to develop, ...

Companies aim to improve drug discovery by training AI on one another’s data and generating large, open datasets ...

New research suggests that the body’s internal chemistry may quietly shape how well people learn, remember, and even unlearn ...

Image courtesy by QUE.com For years, the conversation around artificial intelligence has been dominated by one paradigm: ...

IN 2013 GOOGLE and NASA, America’s space agency, launched a quantum computing lab. The idea was to use a specialised quantum ...

What if the Higgs boson found in 2012 is not alone but is the only sibling we have encountered so far? Scientists at CERN discovered the particle that year, and it was a major discovery because it ...

One of the most consequential distinctions in AI governance is the difference between prediction and judgment. AI may ...

The University of Missouri will help lead a national effort combining AI, computing and biology to advance synthetic cell ...

For life sciences executives evaluating digital health portfolios, anatomically informed architectures represent a defensible ...

The capabilities of large AI systems are constantly improving, but they consume a great deal of energy during training and ...