UCSF researchers develop customizable SNIPR sensors that activate engineered cells only near tumors, promising precise cancer ...

To determine the type and severity of a cancer, pathologists typically analyze thin slices of a tumor biopsy under a microscope.

Researchers used artificial intelligence to predict the activity of thousands of genes in tumors based on routinely collected ...

A classical way to image nanoscale structures in cells is with high-powered, expensive super-resolution microscopes. As an ...

Artificial intelligence successfully detected a woman's breast cancer, after a routine scan evaluated by humans came back as ...

Johnson, PhD, great science and great mentorship are inextricable. Now, up to $250,000 in federal funding from the National ...

As drugmakers take lessons from oncology in developing CAR T cells for other diseases, they must contend with risks that ...

Researchers at ETH Zurich combined two CRISPR-Cas methods to decipher how mutations in a cell’s genome affect its function.

Wearable devices are the next big leap in the prevention and treatment of breast cancer through early detection and ...

namely lung regions without cancer, using AI analysis of PET/CT images. The study demonstrated that the risk of developing ...

What can microgravity teach us about stem cell growth? This is what a recent study published in NPJ Microgravity hopes to ...

In an era where cancer continues to affect millions globally, groundbreaking research reveals that prevention through ...