Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring
Tumor exposomics integrates continuous monitoring of environmental exposures, endogenous biological responses, and behavioral factors within a unified temporal framework. By combining multimodal sensing technologies with AI‐enabled causal modeling, this emerging paradigm reconstructs exposure‐damage trajectories and supports individualized dynamic risk
Kaicheng Shen +6 more
wiley +1 more source
Retraction for Wang et al., Chemical ecology and convergent evolution of natural hallucinogens: From ecological defense to conserved neural targets. [PDF]
europepmc +1 more source
Policy brief: how can rehabilitation be strengthened in Switzerland? Evidence-informed policy considerations based on the 2023 World Health Assembly resolution on strengthening rehabilitation in health systems. [PDF]
Maritz R +8 more
europepmc +1 more source
Organic electrochemical transistors bridge biological ionic signaling and neuromorphic computation through volumetric electrochemical gating. This review connects Organic mixed ionic–electronic conductor materials, device architectures, and manufacturing technologies to show how geometry, ion transport, and fabrication strategies program plasticity ...
Hyunjin Lee +5 more
wiley +1 more source
Role of General Practitioners in European Health Technology Assessment, EU-HTA Innovation in Oncology as an Example. [PDF]
Widmer D +7 more
europepmc +1 more source
Structural Divergence Between the Moltbook AI‐Agent Network and Human Social Networks
Analysis of the Moltbook AI‐agent network reveals a striking combination of familiar global scaling and distinct internal organization. Attention is highly concentrated, reciprocity is limited, connected triads are suppressed, and communities are strongly modular.
Wenpin Hou, Zhicheng Ji
wiley +1 more source
Reckoning With AI in Primary and Secondary School Education: Impacts on Learning and Development Remain to Be Seen. [PDF]
Spichak S.
europepmc +1 more source
Towards a Compositional Framework for Describing Human Phenotypes
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu +11 more
wiley +1 more source
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang +5 more
wiley +1 more source
This study systematically assessed the global burden and temporal trends of EOTBL cancer in individuals aged 15–49 years. Smoking, ambient particulate matter pollution, and secondhand smoke remain dominant risk factors. Countries within the same Human Development Index (HDI) category exhibit distinct epidemiological trajectories, underscoring the need ...
Ye Tian +8 more
wiley +1 more source

