A perspective article explores how inclusive education is being advanced in China through three school-based cases from Shanghai. The study highlights how peer support, professional collaboration, family-school cooperations, and school-wide cultural change can help create more accessible and equitable learning opportunities for students with diverse educational needs.

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.

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.

In this study, researchers profiled the human skin microbiome through an integrated analysis of public datasets, revealing high diversity and distinct co‐occurrence patterns that enabled classification into several modules. Key host and environmental factors were assessed for associations with microbiome composition, with lifestyle habits such as alcohol intake and physical activity emerging as particularly impactful. These findings were subsequently validated in a local cohort, showing strong consistency. Using machine learning, the team further identified potential microbial biomarkers and demonstrated accurate bidirectional prediction between skin microbiome profiles and alcohol intake.

Research suggests that combining accessible technology with mentoring and personalised learning could provide a flexible approach to professional development in resource-constrained education systems.

Coronary artery disease remains the top global cause of death, yet standard angiography cannot visualize dangerous artery plaque, creating gaps for guiding percutaneous coronary intervention. This narrative review synthesizes 10 years of human studies, clinical trials and consensus documents covering established and emerging intravascular imaging plus computational tools. Hybrid catheter systems have completed first‑in‑human testing, while artificial‑intelligence plaque analysis delivers diagnostic accuracy comparable to expert readers. These technologies enable combined anatomical, compositional and functional vessel assessment, though broad clinical roll‑out still requires standardized validation and streamlined workflow integration.

Pulmonary vein isolation alone frequently yields suboptimal long‑term rhythm control for patients with persistent atrial fibrillation, and manual substrate ablation produces inconsistent results across centers. This systematic review and meta‑analysis pooled data from three eligible studies enrolling 322 persistent atrial fibrillation patients, published in Cardiology Discovery. After the 3‑month post‑ablation blanking period, pooled 12‑month freedom‑from‑atrial‑fibrillation reached 87% (95% CI, 82%‑91%). One included randomized controlled trial demonstrated 89% arrhythmia‑free survival for artificial‑intelligence‑guided ablation versus 67% for standard pulmonary vein isolation alone. Authors caution that the small body of available evidence requires further validation in large‑scale multicenter trials.