Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

Only with the adoption of digital imaging and AI-powered analysis will next-generation precision oncology therapies reach ...

For decades, Alzheimer’s disease has resisted nearly every significant pharmaceutical intervention. Despite billions invested ...

Why a fundamental reimagining of how clinical studies operate is still necessary to achieve a true paradigm shift—and shed ...

An Advent Health hospital is seeking to order Blue Cross and Blue Shield of Kansas City to pay $2 million for denied claims ...

Before we start a conversation about how to make a choice between the different options for MIGS, we need to acknowledge that ...

As federal grants to study the use of race in clinical algorithms dry up researchers are looking for other funding sources.

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

After clinical algorithms that use race as a variable came under scrutiny in 2020, several commonly used tools have been revised to align with medicine’s understanding that race is not a ...

System processes data at a nationwide level and provides doctors in hospital transplant centres with a ranked list of ...

Jessica Copeland and Marc Krawiec explain that despite early provisions in the One Big Beautiful Bill Act to block state ...

Medtronic's Jason Fontana offers an update on next-generation Symplicity Spyral devices, procedures and a new feature they're ...