Oncology & Cancer

Ovarian cancer: Artificial intelligence predicts therapy responses

A model based on artificial intelligence is able to predict the therapy outcome (measured by volumetric reduction of tumor lesions) in 80% of ovarian cancer patients. The AI-based model has an accuracy of 80%, significantly ...

Oncology & Cancer

Researchers identify 'switch' to activate cancer cell death

A research team from the UC Davis Comprehensive Cancer Center has identified a crucial epitope (a protein section that can activate the larger protein) on the CD95 receptor that can cause cells to die. This new ability to ...

Oncology & Cancer

Researchers develop blood test for early-stage ovarian cancer

High-grade serous ovarian carcinoma (HGSOC) is the most common type of ovarian cancer. It is also the most lethal form, in part because clinicians do not have effective ways to screen women for it during the cancer's early ...

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