Explore the OC-PAM AI tool that revolutionizes cancer research with non-invasive imaging of organoids and spheroids.

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

McLaren Health Care is using an artificial intelligence tool to review Michiganders' medical charts and imaging tests to spot signs of heart disease.

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

In a collaboration between several labs at UNC Lineberger, researchers have defined cancer-associated fibroblast (CAF) subtypes that are clinically robust, prognostic, and predictive of immunotherapy ...

There is an emerging convergence between atherosclerotic cardiovascular disease and cancer, driven by shared risk factors and overlapping pathophysiologic mechanisms. Traditional factors, such as ...

This review examines how GLP-1 receptor agonists may influence neurodegenerative disease biology through metabolic, ...

Ed Silverman, a senior writer and Pharmalot columnist at STAT, has been covering the pharmaceutical industry for nearly three decades. He is also the author of the morning Pharmalittle newsletter and ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...