A machine learning model can make accurate survival predictions for Merkel cell carcinoma (MCC), according to a study ...

Proteins are the foundation of all life we currently know. With their virtually limitless diversity, they can perform a broad ...

At first glance, machine learning might seem mysterious, but it’s built on a logical foundation. Let’s explore how each step ...

TrialTranslator uses machine learning to assess cancer RCT generalizability, revealing survival gaps for high-risk patients ...

Michael Pollan offered us Food Rules; today, researchers armed with machine learning and 50,000 grocery items are trying to ...

Oxford University researchers have unveiled a new blood test, powered by machine learning, that shows promise in detecting ...

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ.

AI can compare thousands of images to uncover dangerous patterns, create ultra-high resolution scans from low-res images and ...

Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a ...

Machine learning doesn’t replace humans. But AI does assist them in doing their job better by helping predict the success – ...

In a time when personalized solutions are reshaping industries, Harpreet Singh’s work explores the profound influence of Big ...

But despite the CBC’s ubiquity, the way clinicians interpret and use it in the clinic is often less precise than ideal.