Results 171 to 180 of about 1,689,660 (282)

Global optimization tailored for graphics processing units: Complete and rigorous search for large-scale nonlinear minimization. [PDF]

PNAS Nexus
Zhang G, Shan Q, Cagan J.
europepmc   +1 more source

Transposable Element Dynamics Drive the Genomic Evolution and Phenotypic Diversification of Allotetraploid Common Carp

Advanced Science, EarlyView.
By integrating 516 whole‐genome resequencing datasets and 236 transcriptomes of allotetraploid common carp, this study establishes the first population‐scale atlas of transposable element (TE) variation in teleost species. TE bursts, relaxed purifying selection, and lineage‐specific loss of ancient insertions shape genome evolution and phenotypic ...
Shuimu Hu, Zhou Jiang, Lin Chen, Gowena Ling Yi Goh, Weijing Li, Qian He, Xintong Chen, Rui Li, Yuxuan Liu, Ning Li, Tao Zhou, Peng Xu   +11 more
wiley   +1 more source

DeepLNM: A Multimodal Model for Predicting Lymph Node Metastasis in Colorectal Cancer

Advanced Science, EarlyView.
Traditional diagnosis may miss positive LNM cases, and pathologists face a workload; therefore, we develop DeepLNM, a multimodal model that predicts lymph node metastasis in colorectal cancer from H&E WSIs, CT images, and text. DeepLNM is robust across internal, external, and prospective cohorts and, in a user study, improves diagnostic accuracy while ...
Zhengyu Zhang, Chengyu Lu, Zhen Wang, Zhijian Cen, Yangshu Zhou, Danyi Li, Qi Xie, Bingbing Li, Shujing Guo, Zhijun Gan, Er‐ran Zhu, Jinbang Li, Aihetaimu Aimaier, Rui Mao, Weihao Qiu, Chenglong Zhao, Ying Tan, Xiaolin Liu, Huiting Ma, Tiansu Geng, Peiyue Wu, Huijun Du, Yu Wang, Yueping Liu, Li Liang   +24 more
wiley   +1 more source

A Facial Foundation Model for Clinical Biomarker Prediction and Real‐World Mobile Deployment

Advanced Science, EarlyView.
MedicalFaceFound is a facial foundation model developed through three‐stage progressive pre‐training, adapting representations from general vision to facial structure and clinical phenotypes. Using a single facial image, it estimates 62 biomarkers across multiple physiological systems and supports downstream risk prediction for cardiovascular ...
Tingfeng Xu, Huixuan Xu, Li Lin, Fei Wang, Yaodong Ding, Shuangqiao Liao, Xingyu Chen, Jichen Wen, Hongqiang Zhao, Jing Hao, Weixiang Zhao, Gong Zhang, Shiguang Shan, Yong Zeng, Hu Han, Minxian Wang   +15 more
wiley   +1 more source

Feature-PLPD-Aided Visual-Inertial Odometry for Low-Cost Embedded Systems. [PDF]

Sensors (Basel)
Mamri A, El Hadri A, Benallegue A, Hachicha K.   +3 more
europepmc   +1 more source

Machine Learning Potential for Calcium Silicate Hydrates With Broad Compositional and Structural Diversity

Advanced Science, EarlyView.
Existing machine learning potentials remain limited in their ability to generalize across the broad chemical and structural variability of C–S–H. Here, a representative DFT‐labeled dataset is constructed through large‐scale model generation, redundancy‐controlled screening, first‐principles optimization, and targeted sampling of non‐equilibrium ...
Yunjian Li, Cheng Chen, Roland J.‐M. Pellenq, Zongjin Li, Jiaping Liu   +4 more
wiley   +1 more source

Memristive singular value decomposition. [PDF]

Nat Commun
Ding C, Liu Z, Zhang Y, Li C, Tang J, Gao B, Yu H, Wu H, Wong N.   +8 more
europepmc   +1 more source

PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction

Advanced Science, EarlyView.
PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley   +1 more source

Techniques, Performance, and Feasibility of Natural Language Processing for Abstract Screening in Evidence Synthesis: A Systematic Review. [PDF]

Campbell Syst Rev
Shankar R, Goh Z, Xu Q.
europepmc   +1 more source

A Generalizable Multimodal Model for Treatment‐Stratified Risk and Survival Assessment under Real‐World Constraints: A Multi‐Center Study of Colorectal Cancer

Advanced Science, EarlyView.
DAIMS is a multimodal model for treatment stratified risk and survival assessment in colorectal cancer. Training draws on pathology, genomics, and clinical reports, yet inference requires only whole slide images, and adaptation to new cohorts proceeds without target survival outcomes.
Chuangjie Cao, Zheyi Ji, Chang He, Jiying Wang, Xiaoming Luo, Junyi Liu, Xiaohu Jing, Fang Yan, Yirong Chen, Linhao Qu, Sen Yang, Le Lu, Yuming Jiang, Xiyue Wang, Chengyun Dou, Junhan Zhao   +15 more
wiley   +1 more source