Findings suggest a new therapeutic strategy to enhance antibiotic penetration

This review presents an AI‑driven tri‑phase framework—transcriptomic, clonal, and structural—for identifying tumor‑reactive CD8⁺ T cells. It critically addresses key bottlenecks: data bias, generative functional blind spots, and clinical validation deficits. The authors propose integrating dynamic physical simulations with multimodal generative AI to enable force‑activated functional prediction, ultimately shifting from static affinity optimization toward programmable, patient‑specific immunotherapy.

Microplastics and nanoplastics are increasingly detected in the environment and human biological samples, raising concerns about their potential health effects. A new review published in Med Research highlights particle size as a key factor determining how these plastic particles interact with biological barriers and organs. Nanoplastics can more readily enter cells and subcellular structures, where they are associated with mitochondrial dysfunction, oxidative stress, ferroptosis, and inflammatory signaling. Larger microplastics, in contrast, primarily cause mechanical barrier disruption and persistent immune activation. The review compares these size-dependent effects across the intestine, liver, kidney, lung, and brain and discusses emerging intervention strategies and major gaps in translating experimental findings to human health.

OmicsGWAS is a comprehensive post-GWAS analysis platform that provides an automated workflow from data preprocessing to result visualization. It supports standardized conversion of GWAS summary statistics and integrates multi-omics datasets, including eQTL, pQTL, and mQTL data. By incorporating methods such as Mendelian randomization, colocalization analysis, and SMR, the platform enables systematic exploration of genotype–phenotype relationships, comorbidity mechanisms, and potential drug targets. OmicsGWAS improves the efficiency, standardization, and reproducibility of post-GWAS studies and facilitates precision medicine research.

Mendelian randomization leverages genetic variants to mitigate confounding bias in causal inference. This paper systematically reviews the methodological evolution of Mendelian randomization, elaborates on its expanding applications in epidemiology and drug target validation, and identifies future research directions to address existing biases via dynamic analysis, multi-omics integration, and trans-ethnic data harmonization.

This review summarizes the immuno-inflammatory mechanisms driving the pathogenesis of osteoarthritis (OA), extending beyond the traditional view of OA as a purely degenerative disease to incorporate immune cell infiltration, inflammatory factor release, and the formation of a chronic low-grade inflammatory microenvironment. Focusing on the activation and dysregulation mechanisms of innate and adaptive immunity in OA, we delineate recent advances in understanding OA immunopathology and discuss potential therapeutic strategies targeting immune responses, aiming to provide new insights for the prevention and treatment of OA.

Wireless charging has already transformed how people power phones, wearables and even electric vehicles. The next leap is advancing wireless technologies to not merely deliver electrical energy, but to enable direct non-electrical outputs, such as optical, thermal and mechanical energy, directly according to actual needs, building an energy delivery network as flexible and efficient as the internet. To drive this transformation, researchers at The Hong Kong Polytechnic University (PolyU) have conducted a groundbreaking study that sets out a technical roadmap for “wireless energy internet”, guiding the industry from “wireless power transfer” toward direct “wireless energy conversion”.