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 ...

New research from the University of Minnesota School of Dentistry and Masonic Cancer Center is providing important new insights into the structure of a human virus that causes blood cancer. In their ...

A mysterious RNA found in breast cancer led scientists to uncover an entire hidden class of cancer-specific RNAs across ...

The study also highlights the limitations of relying on body mass index (BMI) as a proxy for metabolic health.

Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

A University of Michigan study used AI to create a digital twin replica of gliomas to shed light on the metabolic pathways ...