Researchers from the Technion – Israel Institute of Technology, in collaboration with international partners, have developed an artificial intelligence (AI) model that predicts both the risk of breast cancer recurrence and the likelihood of benefit from chemotherapy using standard pathology slides. The study, published in The Lancet Oncology and presented at ESMO, is the first to validate such a model using data from a large randomized clinical trial (TAILORx).

The AI system analyzes high-resolution digital images of tumor tissue and identifies complex visual patterns linked to cancer behavior and treatment response. It generates a score within minutes, offering a fast, low-cost, and widely accessible alternative to genomic tests such as Oncotype DX, which are expensive and not globally available.

The model was validated on thousands of patients across multiple countries and healthcare systems, demonstrating consistent performance. By enabling more accurate treatment decisions, the approach could reduce unnecessary chemotherapy and expand access to personalized cancer care, particularly in low-resource settings.

Researchers are now working toward clinical implementation and further development, including expansion to additional cancer types and treatments.

A new battery design that could significantly extend the range of electric vehicles and the lifespan of portable electronics has been developed by researchers at the University of Surrey’s Advanced Technology Institute (ATI). 

For decades, the massive stone circles of Rujm el-Hiri in the Golan Heights were considered a singular, mysterious anomaly—often dubbed "Israel’s Stonehenge." However, new research led by Ben-Gurion University of the Negev (BGU) is rewriting that narrative. Using advanced satellite imagery and remote sensing technology, researchers have discovered that this iconic monument is actually the centerpiece of a much larger, previously hidden phenomenon.