Cancer Research

MEDICAL ANIMATION TRANSCRIPT: You or someone you care about may have been diagnosed with lymphoma. This video will help you understand some of the available ...

In this 1-hour presentation, Dr. Abi.Vijenthira, hematologist at Princess Margaret Cancer Centre in Toronto, provided an overview of the approach to non-Hodg...

Tumour growth is reduced by exercise due to a shift in the body’s metabolism that means muscle cells outcompete cancer cells in the race to get sugar to grow

New studies show that bacteria help cancer cells evade the body’s immune response. Experts say this relationship could prove vital for wiping out cancer.

Our results suggest that a deep learning model can estimate biological age from face photographs and thereby enhance survival prediction in patients with cancer. Further research, including validation in larger cohorts, is needed to verify these findings in patients with cancer and to establish whether the findings extend to patients with other diseases. Subject to further testing and validation, approaches such as FaceAge could be used to translate a patient’s visual appearance into objective, quantitative, and clinically valuable measures.

Scientists found linoleic acid from seed oils promotes triple-negative breast cancer growth by activating a specific protein pathway. Linoleic acid, an omega-6 fatty acid found in seed oils like soybean and safflower oil, as well as in animal products such as pork and eggs, has been shown to pro

Researchers have developed an AI tool called FaceAge that uses facial photos to estimate biological age and predict survival outcomes in cancer patients.

archived 17 Sep 2025 02:36:45 UTC