The National Comprehensive Cancer Network (NCCN)—an alliance of leading cancer centers—celebrated 30 years of helping people with cancer to live better lives during the NCCN 2025 Annual Conference, March 28-30 in Orlando, Florida. The yearly event brings together leading minds and subject matter experts in front of a multidisciplinary audience to share the latest recommendations for cancer treatment and prevention.

Magnetic soft robots, providing excellent flexibility and precise control, are transforming fields from surgery to environmental exploration. Focusing on the relationship between structural configurations and locomotion modes of magnetic soft robots, a new review article in FlexTech systematically summarizes the material composition, fabrication methods, locomotion modes, and applications of existing magnetic soft robots. Furthermore, this article also analyzes and discusses the current challenges and future development directions of structured magnetic soft robots.

A research team led by Professor Xiaonan Wang from Tsinghua University has published a comprehensive review on AI-enhanced multi-scale smart systems for decarbonizing the chemical industry. The study, featured in Technology Review for Carbon Neutrality, explores innovations from micro-level materials discovery to macro-level industrial park optimization, highlighting how intelligent approaches enhance efficiency, sustainability, and carbon neutrality. It also examines cross-scale modeling for complex chemical processes and identifies key challenges such as data management and industrial integration. The review concludes with future research directions, advocating interdisciplinary strategies to drive the industry toward a greener and more efficient future.

A study from East China Normal University explores how Large Language Models (LLMs) can revolutionize education by automating teaching tasks. It highlights two key applications: generating customized materials and streamlining assessment. While LLMs reduce educators’ workload, human oversight remains crucial. The research suggests a collaborative model where teachers act as orchestrators and LLMs serve as assistants, ensuring AI integration enhances personalized education while maintaining instructional quality and adaptability.

Terrestrial carbon cycle dynamics remain one of the greatest sources of uncertainty in climate projections, with diverging estimates of ecosystem carbon uptake, affecting the accuracy of Earth system models.

To address these challenges, CONCERTO (Improved CarbOn cycle represeNtation through multi-sCale models and Earth obseRvation for Terrestrial ecOsystems), was launched in January 2025.