A new and important discovery comes from the field of oncological research thanks to the joint work of researchers from the Sbarro Institute in Philadelphia, the National Cancer Institute – Pascale ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...

Abstract: Alzheimer's disease, a common form of dementia, progressively impairs cognitive abilities, leading to dependency on assistance. Traditional detection methods like MRI scans are often ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to recognize biology may no longer be enough. When you purchase through links on our ...

Blood or marrow transplant recipients face higher skin cancer risk due to monoclonal antibody treatment, chronic graft-versus-host disease, and post-transplant immunosuppression. AI shows potential in ...

An Orange County hospital is turning to artificial intelligence, giving radiologists an extra edge to detect breast cancer in its early stages. Micah Parsons takes aim at Cowboys over the team's poor ...

Skin cancer is the most commonly diagnosed cancer in the United States, affecting one in five Americans during their lifetime. While basal cell carcinomas (BCCs) and squamous cell carcinomas (SCCs) ...