Researchers at Fox Chase Cancer Center, Temple University's College of Engineering, and the Lewis Katz School of Medicine at Temple University have developed a new method that enhances the ability of ...

University of Missouri research team develops an artificial intelligence model that is 92% accurate at detecting melanoma.

Artificial intelligence is emerging as a powerful tool for improving the diagnosis, phenotyping, and treatment of inflammatory skin diseases such as alopecia.

Skin cancer is highly treatable, if it’s caught early. But spotting it can be tricky. How it shows up on the skin can look different depending on skin tone. And for people with darker skin, that ...

A new AI-powered tool developed at the University of Melbourne has shown high accuracy in diagnosing skin cancer at the point of care. The university's research fellow, Dr Noor E Karishma Shaik, ...

As healthcare systems worldwide grapple with rising cancer rates, chronic diseases and limited clinical resources, ...

In recent years, the quickly growing "femtech" industry has transformed how many women monitor and manage their health. This field of technology creates products including everything from period ...

PROBLEM SOLVER AWARD FINALISTThe University of Queensland, Monash University and The University of SydneyACEMID: revolutionising early detection and the fight against melanoma ...

Artificial intelligence is no longer just spotting tumors a little faster than humans. In study after study, machine learning systems are uncovering hidden patterns in cancer data that even veteran ...