By analyzing the morphology of these artificial tumors with AI, the team achieved 99% accuracy in predicting the expression of key prognostic gene markers, such as CEACAM5, in colorectal cancer.

Their innovative approach involves the development of a deep learning algorithm called FaceAge, which analyzes a photo of a person’s face to estimate their biological age and predict survival outcomes ...

Physical Symptoms Appear To Predict Cancer Prognosis. ScienceDaily. Retrieved May 27, 2025 from www.sciencedaily.com / releases / 2004 / 07 / 040727090004.htm. John Wiley & Sons, Inc..

More information: Bjørnar Berg et al, Machine Learning Models for Predicting Disability and Pain Following Lumbar Disc Herniation Surgery, JAMA Network Open (2024). DOI: 10.1001/jamanetworkopen ...

A tumour test could help to identify ovarian cancer patients with predicted poor survival, and down the track inform new therapeutical approaches, the results of a major international collaboration ...

In this way, the researchers not only show that their model can predict survival, but they also explain why it does. First author Niha Beig (left) and group leader Pallavi Tiwari. Tiwari and ...

The pMTnet technique, detailed online in Nature Machine Intelligence, could lead to new ways to predict cancer prognosis and potential responsiveness to immunotherapies.

A genomic assay may predict long-term prognosis in premenopausal patients with hormone receptor-positive early-stage breast cancer. American Association for Cancer Research. Funder ...