The rapid evolution of CRISPR/Cas genome editing has redefined the possibilities of cellular and gene therapy, enabling precise correction, disruption, and regulation of disease-associated genes. Yet, as genome editing technologies transition from laboratory innovation to clinical application, ensuring robust non-clinical safety assessment has become a critical priority.

Researchers in Lithuania have identified a promising new approach to cartilage regeneration using extracellular vesicles derived from menstrual blood stromal cells. Their study shows that these tiny cell-released particles can improve cartilage cell function, slow tissue degradation, and stimulate regenerative processes even in older cartilage cells with reduced healing capacity. The findings suggest a potential future cell-free therapy for osteoarthritis, a condition affecting more than 600 million people worldwide. To enhance the stability and delivery of these vesicles, the interdisciplinary team is also developing biomimetic scaffolds that protect the vesicles and release them gradually within the joint. The research highlights both the therapeutic potential of menstrual blood-derived biological material and the importance of combining biomaterials, cell biology, and engineering in regenerative medicine.

In a paper published in SCIENCE CHINA Earth Sciences, a research team systematically interpreted the key scientific issues such as the DO threshold, structural characteristics, distribution patterns, formation and maintenance mechanisms, and driving factors of the OMZ in the context of global change. It may provide important scientific basis for further exploring the coupling relationship between global change and oceanic OMZ, and for understanding marine hypoxia and deoxygenation issues from a global perspective

Children’s brains continuously learn at extremely low energy cost, whereas advances in artificial neural networks typically rely on expanding model size. How brain developmental mechanisms can be incorporated to enable efficient continual learning has remained unclear. Now, the research team led by Professor Zeng Yi at the Institute of Automation, Chinese Academy of Sciences, reports in National Science Review a brain-inspired continual learning framework TD-MCL, which enables cross-domain continual learning while reducing network scale.

Could mining Reddit with AI help spot drug side effects earlier? A new Penn study suggests it might. Using large language models to map patient posts to standardized medical terms, researchers analyzed more than 400,000 Reddit posts about GLP-1s and found both known side effects and possibly underrecognized symptoms, like menstrual changes. The team says the approach could eventually help generate early safety signals for other drugs and wellness trends discussed online.

A new type of radiofrequency trap can capture particles with extremely different requirements and could theoretically hold both types of particles at the same time. Researchers in the group of Professor Dmitry Budker from the PRISMA⁺⁺ Cluster of Excellence and the Helmholtz Institute at Johannes Gutenberg University Mainz (JGU) were able to trap calcium ions or electrons in the same apparatus. The team’s findings, published in Physical Review A, show the potential of this technology for synthesizing antihydrogen.