Cancer cells excel at evading detection, but subtle chemical differences set them apart from healthy cells. Now, a team of scientists from Wageningen University & Research and Van Andel Institute has identified a way to exploit this distinction. Using a variant of CRISPR, a modern tool for editing DNA, they distinguished tumor DNA from healthy DNA and selectively cut only the former. The study, published today in Nature, is an early but promising step toward a cancer therapy that targets and destroys tumor cells with high precision.

A new study in Engineering unveils the diameter-transformed fluidized bed reactor, a tailored design optimizing catalytic reactions for cleaner gasoline and more efficient chemical production. It breaks down the reactor’s scientific foundations, engineering solutions to key flow and reaction challenges, and its wide industrial applications—plus future AI and kinetic research to advance this game-changing technology further.

Duracyte is a biotechnology company developing implantable “living pharmacy” devices designed to continuously produce therapeutic proteins inside the body. The company plans to initiate a Phase 1 clinical trial this year evaluating patients with recurrent ovarian cancer. Duracyte is the third company launched by RBL LLC, following Sentinel BioTherapeutics and SteerBio, reinforcing Houston’s growing role as a biotechnology innovation hub.

Curious about how 6G will blend sensing and communication? A new Engineering study breaks down cooperative ISAC, the key tech for 6G’s ubiquitous sensing. It unpacks core features, critical technologies, real-world trials and future research, with field tests proving its feasibility for low-altitude economy and urban sensing scenarios.

A joint research team led by Professor Shiqi (Shawn) Ou, Associate Professor Yahui Jia, and Associate Professor Yuan Lin from South China University of Technology, together with Associate Professor Zhixia Li from the University of Cincinnati, proposed a cross-temporal electric vehicle battery health assessment framework called D2B (Drive-to-Battery), aiming to establish a link between daily driving behavior and long-term battery health.

This study presents KEPT, an AI system that helps self-driving cars predict their own short-term path more safely by combining video understanding with a memory of similar past scenes. Tested on the public nuScenes benchmark, KEPT cuts prediction errors and potential collisions compared with existing planning methods, while using a fast, lightweight retrieval module that is practical for real-time driving.

To address the growing conflict between personalized mobility analysis and data privacy, researchers have developed IPC-FM, a novel federated meta-learning framework. This approach enables accurate travel behavior prediction without centralizing sensitive user data. By integrating interpretable neural networks with rapid model adaptation, IPC-FM provides a customizable solution that significantly outperforms current state-of-the-art methods, ensuring individual mobility needs are met securely and transparently.