Results 191 to 200 of about 426,295 (219)

An Explainable Multimodal Deep‐Learning Model Using Histopathological Image and Clinical Information for Prognosis Prediction in Colorectal Cancer: A Multi‐Center Cohort Study

Advanced Science, EarlyView.
This study develops a multimodal deep‐learning model that integrates clinical variables and histopathological images to predict survival outcomes in colorectal cancer. The multimodal model effectively stratifies patients into low‐ and high‐risk groups, demonstrating superior accuracy and generalizability across multiple independent cohorts.
Zhihan Jiang, Xiangchao Shi, Chenghan Su, Yao Ma, Rui Li, Menglei Chen, Jianxin Cui, Nicholas Hawkins, Robyn Ward, Xiangzhi Bai, Jitendra Jonnagaddala, Wei Fu, Xin Zhou   +12 more
wiley   +1 more source

Non‐Invasive Assessment of Perineural Invasion Density: A Novel Marker for Prognosis and Treatment Stratification in Prostate Cancer

Advanced Science, EarlyView.
This study establishes perineural invasion density (PNID) as a superior prognostic marker in prostate cancer, outperforming conventional perineural invasion in predicting biochemical recurrence and radiographic progression. Concurrent β–blocker use is associated with favorable outcomes exclusively in High–PNID patients. An MRI–based deep learning model
Bohao Liu, Long Zhang, Weian Zhu, Meng Yang, Xiang Liu, Xiaoyang Li, Peng Qin, Zhengxu Lin, Qian Cai, Jiayu Zheng, Xiao Zhao, Chen Zou, Xuan Wen, Longhao Xu, Daqin Wu, Lin Zhang, Cuilian Zhang, Kaiwen Li, Chunhui Wang, Wenlong Zhong, Yun Luo   +20 more
wiley   +1 more source

Neutron Depth Profiling: The Core Link Connecting the Microscopic Mechanisms of Lithium‐Ion Batteries With Intelligent Design

Advanced Science, EarlyView.
Neutron depth profiling exploits the 6Li(n,3H)4He reaction to provide quantitative, isotope‐specific, depth‐resolved maps of lithium inside operating lithium‐ion batteries, directly linking lithium transport, dendrite growth and interfacial short‐circuiting to a physics‐informed machine‐learning roadmap that turns this non‐destructive operando ...
Yulong Zhang, Chunjing Yue, Shijiao Liu, Muyang Chen, Xiaokang Shi, Rui Tan, Hongqing Hao, Jie Yang, Xinhua Liu   +8 more
wiley   +1 more source

Pre‐Refinement Prediction of Dopant Site Occupancy in M‐Type Hexaferrites via Hierarchical and Uncertainty‐Aware Machine‐Learning

Advanced Science, EarlyView.
Refined data are extracted from CIF files to construct a hierarchical machine‐learning framework integrating sublattice classification, Fe‐site occupancy prediction, and reliability assessment. External validation yields 96% accuracy for sublattice classification and a macro mean absolute error of 0.0584 for Fe‐site prediction.
Dan Liu, Jianyu Ren, Ruoshui Liu, Yinong Yin, Jianfeng Xi, Xin Ming, Jiazheng Hao, Tongyun Zhao, Fengxia Hu, Baogen Shen   +9 more
wiley   +1 more source

A Multi‐Structural Radiomic Digital Phenotyping Framework for Deciphering Preclinical Evolution of Degenerative Meniscal Tears

Advanced Science, EarlyView.
Subclinical matrix disruption precedes degenerative meniscal tears across the knee joint. A spatial compartmental radiomics model utilizing 3D‐DESS MRI captures early osteochondral destabilization, accurately predicting incident tears up to four years pre‐collapse. Feature attributions uncover coordinated chondral and osseous alterations, advancing non‐
Shengfa Li, Hao Liu, Yanbin Zhu, Hang Zhang, Qifeng Tao, Wenbo Zhao, Xin Miao, Shanshan Yang, Tianyu Chen, David Hunter, Changhai Ding, Ting Wang, Juan Wang, Wei Chen   +13 more
wiley   +1 more source

Deep Learning for AD Risk Screening and Progression Prediction

Advanced Science, EarlyView.
A pretrained MRI‐based deep learning model generalizes from Western cohorts to an independent Chinese cohort, detects Alzheimer's disease with high sensitivity, and identifies elevated AD risk years before diagnosis. Its risk scores align with cognition and plasma biomarkers, and individualized brain risk maps uncover clinically distinct subtypes ...
Bin Lu, Yan‐Rong Chen, Rui‐Xian Li, Ming‐Kai Zhang, Shao‐Zhen Yan, Guan‐Qun Chen, Jing‐Hua Wang, Wen‐Hui Chai, Francisco Xavier Castellanos, Paul M. Thompson, Jie Lu, Ying Han, Chao‐Gan Yan   +12 more
wiley   +1 more source

A CT Lesion Foundation Model for Non‐Invasive Assessment of Hepatocellular Carcinoma Aggressiveness and Prediction of Recurrence Risk

Advanced Science, EarlyView.
A computed tomography lesion foundation model, built by sequential self‐supervised pretraining on generic and hepatocellular carcinoma‐specific lesion images, non‐invasively assesses microvascular invasion and pathological grade from contrast‐enhanced CT and stratifies postoperative recurrence risk.
Wei Xia, Zhehan Shen, Mengsi Li, Jianxin Lu, Ji Xia, Yang Cheng, Wenzheng Li, Shunjie Dong, Lin Deng, Ruokun Li   +9 more
wiley   +1 more source

When are Two‐Dimensional Covalent Organic Frameworks Good Electrodes for Lithium Ion Batteries? A Data‐Driven Analysis

Advanced Science, EarlyView.
A data‐driven framework integrating density‐functional theory with machine learning models screens two‐dimensional covalent organic frameworks (2D COFs) from CoRE COF database to reveal atomic‐level design rules: N/O‐rich coordination pockets drive cathode behavior, while separated redox sites and π‐rich galleries enable anode function in Li‐ion ...
Preeti Bhauriyal, Shubhajit Das, Thomas Heine   +2 more
wiley   +1 more source

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Heterodimer Formed by ROC8 and ROC5 Modulates Leaf Rolling in Rice

Plant Biotechnology Journal, 2021
Yang Xu, Qian-Hao Zhu, Jie Yang
exaly