Researchers at the Faculty of Information Technology at the University of Jyväskylä have used artificial intelligence to speed up the analysis of colorectal cancer samples and predict the functioning of the cells’ DNA repair mechanism. The AI model's analysis can help shorten diagnosis times, reduce costs, and improve the analysis's accuracy. The research was conducted in collaboration with the Central Finland Welfare Region and is co-funded by the European Union.

With colorectal cancer a growing concern among younger people, the American Cancer Society has endorsed two new types of stool tests to encourage people to get screened while also recommending a limited role for new blood tests many patients find appealing.

The American Cancer Society (ACS) today released updated guidelines for colorectal cancer screening. The new recommendations reaffirm that average-risk adults should begin colorectal cancer screening at age 45 and continue through age 75 for those with a life expectancy greater than 10 years. However, ACS is now adding guidelines for a blood-based screening test taken in a doctor’s office, as well as one updated and one new at-home screening option that looks for hidden blood and molecular markers in stool samples. The move reflects advances in disease detection and a critical shift in public health strategy to expand screening options and lower barriers to access. The update is published in a report in CA: A Cancer Journal for Clinicians, the flagship journal of ACS.

An artificial intelligence–driven transfer learning strategy enabled the discovery of a novel indolopyridine-based small molecule (Compound 8a) that directly targets gp130, potently suppresses the JAK2/STAT3 signaling pathway, and effectively inhibits colorectal cancer growth in vitro and in vivo, offering a promising lead and a feasible computational paradigm for developing gp130‑targeted anticancer agents.