Rabies virus detection in cell cultures could soon become faster and more accessible, thanks to a world-first AI system developed by researchers at the University of Surrey’s Institute for People-Centred AI (PAI) in collaboration with the Rabies and Viral Zoonoses team at the Animal and Plant Health Agency (APHA). The breakthrough is designed to help improve surveillance of one of the world’s deadliest infectious diseases and deliver practical, laboratory-ready tools that can be adopted in endemic countries. 

This collection features articles on “Wound healing, skin regeneration and hemostasis” published in Bioactive Materials. All articles are free to read and download.

Playing more and more, struggling to cut back, or continuing to game despite its negative impact on everyday life can all be signs of gaming disorder. But what about women who play video games and may be overlooked by conventional diagnostic tools? A study by the University of Geneva (UNIGE) sheds light on why female gamers can remain under the radar and highlights the distinctive features of their gaming experiences. The study found that participants tended to favour immersive games over competitive ones and were less likely to identify with the traditional image of a gamer. These findings, published in European Psychiatry, could help inform more tailored approaches to the prevention and treatment of gaming disorder.

A study examines how Shanghai's college admission reform has reshaped school practices, student motivation, and learning behaviors. Drawing on classroom observations and interviews with teachers and students, the research shows that expanded subject choices and broader evaluation criteria have created new opportunities for students to explore interests, connect learning with future aspirations, and develop more active approaches to learning. The study also highlights the importance of continued support in helping students make meaningful choices within a more flexible education system.

Researchers at Fudan University, in collaboration with Zhejiang Cancer Hospital (Hangzhou Institute of Medicine, Chinese Academy of Sciences) and Washington University in St. Louis, have released bacNeo, the first comprehensive computational toolkit dedicated to identifying bacteria-derived neoantigens in human cancers. The framework combines three modules, BACC for bacterial component classification, BACH for HLA allele typing, and BACP for bacterial peptide prioritization, into a single one-stop pipeline that accommodates metagenomic, metatranscriptomic, bulk and single-cell sequencing, and mass spectrometry data. A novel scoring system, SPARK (Score for Peptide Antigenicity Recognition and Kinetics), weights TAP transport efficiency against HLA-peptide binding affinity and reaches an area under the ROC curve of 0.81 on experimentally validated peptide-HLA datasets. The work, published in iMetaMed, provides a reproducible and modular foundation for systematic bacterial neoantigen discovery and supports the design of therapeutic vaccines, chimeric antigen receptor (CAR) T-cell therapies, and immune checkpoint blockade strategies across diverse cancer types.

Precision oncology is evolving from a predictive paradigm towards adaptive decision-making. This review presents a forward-looking conceptual framework for a Closed-Loop Intelligent Oncology System (CIOS), which aims to support iterative evaluation of candidate treatment strategies by updating a patient-specific digital twin.