Many of us might reach for the hair dye the moment those first grey hairs appear. But a new study suggests we may be covering up one of the body's most ingenious defences against cancer.

Scientists have developed an AI system that analyzes complex gene-expression signatures to estimate the likelihood that a tumor will spread.

A clustered family history of breast, ovarian, and colon cancers appropriately triggered germline testing, with BRCA1 mutation status informing individualized risk stratification and counseling.

A team of researchers at VCU Massey Comprehensive Cancer Center has identified a new pathway through which mutations in the tumor suppressor p53 gene—found very frequently in human tumors—hijack DNA ...

After getting engaged, the only words journalist Mrinali Dhembla expected to hear were “I do.” Instead, she was told, “You ...

A Lafayette father's battle with stage 4 pancreatic cancer is taking a hopeful turn as he becomes the first in Colorado to receive a newly approved targeted therapy.

A cancer drug class best known for attacking tumors may also help your immune system remember them better. Researchers at ...

Annemarie Ianos is a senior at Baruch College majoring in biomedical sciences and pursuing research in computational chemistry with Assistant Professor Baofu Qiao. Recently, she presented her research ...

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...

The Norton & Elaine Sarnoff Center for Jewish Genetics is a supporting foundation of JUF, and is supported in part by the Michael Reese Health Trust.

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

Memorial Sloan Kettering Cancer Center investigators and collaborators have tested rezatapopt, an oral p53 reactivator ...