Bar-Ilan University has joined a major new €8 million European initiative aimed at revolutionizing how personalized cancer treatments like CAR-T cell therapy are delivered in hospitals. Funded by the EU-backed Innovative Health Initiative (IHI), the five-year project—called EASYGEN (Easy workflow integration for gene therapy)—will develop a fully automated system that allows hospitals to manufacture CAR-T therapies on-site in just 24 hours instead of weeks.

A new study has identified three distinct molecular subtypes of follicular lymphoma (FL), offering insights that may shape future precision diagnostics and personalized treatment plans for patients across Asia and the West.

The research was jointly conducted by scientists at BGI Genomics' Institute of Intelligent Medical Research (IIMR) and Sweden's Karolinska Institutet, published in Cell Reports Medicine early August.

Certain types of biochemical processes can impair the immune system’s ability to recognize and kill cancer cells. Purdue University’s W. Andy Tao and his associates have developed a new way to study these processes. They demonstrated the validity of their method in experiments involving leukemia and rare liver cancer cell lines.

Tao and 10 co-authors published the details of their new method Aug. 1 in the Journal of the American Chemical Society. Their work provides a system for tracking and identifying the various types of proteins and an unheralded but widely secreted class of bioparticles called extracellular vesicles (EVs) that can compromise immunotherapy.

Scientists at the Icahn School of Medicine at Mount Sinai have developed a powerful new computational tool that could transform how cancer tissues are analyzed and help pave the way for more personalized treatments. The study, published in Nature Biomedical Engineering, introduces MARQO, a next-generation image analysis process that extracts detailed cellular and spatial information from tumor tissue slides with unprecedented accuracy and scalability.Scientists at the Icahn School of Medicine at Mount Sinai have developed a powerful new computational tool that could transform how cancer tissues are analyzed and help pave the way for more personalized treatments. The study, published in Nature Biomedical Engineering, introduces MARQO, a next-generation image analysis process that extracts detailed cellular and spatial information from tumor tissue slides with unprecedented accuracy and scalability.

Researchers at VCU Massey Comprehensive Cancer Center have developed a new computational tool called Vesalius, which could help clinicians understand the complex relationships between cancer cells and their surrounding cells, leading to potential discoveries regarding the development of hard-to-treat cancers. Findings from a new study—published Aug. 21 in Nature Communications—could help guide the identification of predictive biomarkers for multiple cancers and better inform the effectiveness of different treatment options based on individuals’ specific type of disease.