Results 161 to 170 of about 9,814,885 (299)

BraMARS: An Interpretable Histopathology‐Driven Deep Learning Model for Brain Metastasis Risk Stratification in Surgically Resected Limited‐Stage SCLC

Advanced Science, EarlyView.
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang, Taolue Wang, Shilong Liu, Zicheng Zhang, Yibo Zhang, Fan Yang, Bo Yu, Shuaishuai Gao, Yu Chen, Lin Yang, Meng Zhou   +10 more
wiley   +1 more source

Invisible harm and constrained response: a conceptual analysis of psychological domestic abuse against disabled people in China. [PDF]

Front Psychol
Feng Z, Li Y, Xia W, Hu Y.
europepmc   +1 more source

China's Low‐Carbon Energy Transition Over the Past Two Decades: Experiences and Implications

Advanced Science, EarlyView.
China's low‐carbon energy transition features a brief decline and subsequent rebound in coal consumption, alongside the rapid expansion of renewable energy. This study develops a stage‐based analytical framework to explain this evolution from the perspectives of economic development, energy security, and environmental sustainability, revealing how ...
Yu Liu, Zhiyu Tian, Zhengxian Zhang, Xinbei Li   +3 more
wiley   +1 more source

Liberation Medicine in Authoritarian Contexts: The Brutality of U.S. Mass Incarceration. [PDF]

Cult Med Psychiatry
Bourgois P.
europepmc   +1 more source

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

Advanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang, Ziqi Liu, Zhengqian Zhang, Yikun Cao, Junjun Ren, Peng Cheng, Jingjing Tian, Lingyun Xie, Xin Lu, Zhanwei Du, Yongzhuang Liu   +10 more
wiley   +1 more source

Artificial Intelligence Centrality in Psychotic Delusions and Violence Risk in Forensic Psychiatry: Retrospective Observational Study of Judicial Decisions. [PDF]

J Med Internet Res
Hudon A, Pagé C.
europepmc   +1 more source

Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring

Advanced Science, EarlyView.
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, Weiyi Wang, Yang Wang, Yiqiang Wu, Xiaohong Liu, Wei Zhang, Juanjuan Ou   +6 more
wiley   +1 more source

Recreational Genetic Databases, Artificial Intelligence, and Forensic Genetics: Technical Advances, Legal Challenges, and Bioethical Perspectives. [PDF]

Genes (Basel)
Sauvagère S, Bougerie M, Hermitte F, Hubac S, Manivet P, Kheris S, Duby V, Boissonneau N, Siatka C.   +8 more
europepmc   +1 more source

Functional–Taxonomic Scaling Resolves Conflicting Average Genome Size Estimates Across Environmental Gradients

Advanced Science, EarlyView.
Based on genome size‐functional breadth theory, we introduce and validate a framework that adjudicates conflicting average genome size (AGS) estimates by testing which estimate yields a gap between scaled functional diversity and scaled taxonomic diversity that is consistent with the expected positive association between genome size and gene functional
Huanhuan Zhu, Xiaoye Chen, Qiushi Li, Chenyu Sun, Haihua Xia, Yingxin Huang, Cong Wang, Peilin Chen, Cheng Gao   +8 more
wiley   +1 more source

The debiasing paradox: cognitive biases in judicial adjudication of valuation adjustment mechanisms across Chinese and American courts. [PDF]

Front Psychol
Gao Z.
europepmc   +1 more source