Results 171 to 180 of about 1,280,155 (271)

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

Advanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu, Kexing Li, Yuge Wang, Hongyu Li, Hongyu Zhao   +4 more
wiley   +1 more source

Paving the Way to Elucidate Hg's Role in Tumorigenesis

Advanced Science, EarlyView.
Tumorigenesis can result from diverse environmental carcinogens. Among them, mercury—a lifelong bioaccumulative Group 2B carcinogen—has tumorigenic potential that remains poorly understood due to confounding co‐exposures and limited organ‐specific data.
Shouying Li, Rong Zhong, Zhenyang Yu, Hualing Fu, Jin Chen, Jia Wei, Ningwei Zhao, Le Qu, Tiantian Li, Wenli Tang, Huan Zhong   +10 more
wiley   +1 more source

Accurate and Scalable Classification of Colonoscopy Neoplasia Using Machine Learning and Natural Language Processing. [PDF]

Clin Transl Gastroenterol
Broderick B, Greenwood J, Mahoney D, Burger K, Garg SK, Wallace MB, Gurudu SR, Ebner D, Kisiel J.   +8 more
europepmc   +1 more source

Timing Mechanotransduction: Mechanically Dynamic Biomaterials Reveal the Temporal Hierarchy of YAP/TAZ Control Nodes

Advanced Science, EarlyView.
This work develops dynamically softening polyacrylamide hydrogels for time‐resolved imaging during continuous mechanical transitions. The study revealed that mechanotransduction is biphasic; YAP/TAZ inactivation is driven by early loss of the nucleocytoskeletal continuum connecting subnuclear adhesions, F‐actin, and the nuclear envelope, coupled with ...
Alessandro Gandin, Giada Vanni, Veronica Torresan, Margherita Pelosin, Rebecca Busetto, Anna Citron, Ambela Suli, Paolo Contessotto, Carlo Albanese, Francesca Zanconato, Tito Panciera, Stefano Piccolo, Giovanna Brusatin   +12 more
wiley   +1 more source

Linking subjective experience of anxiety to brain function using natural language processing. [PDF]

Soc Cogn Affect Neurosci
Kirk PA, Qamar P, Lentz J, Zugman A, Abend R, Kircanski K, Pine DS.   +6 more
europepmc   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source

Natural language processing for triage of cerebral large-vessel occlusion. [PDF]

Arq Neuropsiquiatr
Andrade JBC, Duarte JM, Fagundes TP, Costa TBDS, Paiva PB, Shimaoka A, Silva Junior ACD, Pacheco EP, Querobin SO, Souza Junior MAC, Lage ES, Silva GS.   +11 more
europepmc   +1 more source

An Increasing Misalignment Between Crop Distribution and Environmental Resources Under Climate Change in China

Advanced Science, EarlyView.
Climate change reshapes the spatial alignment between crop production and environmental resources. Using multi‐source data and a crop model, integrated climatic, water, and soil endowments for maize and wheat are quantified and compared with harvest distributions.
Zheng'e Su, Zhentao Zhang, Jin Zhao, Xia Liang, Chuang Zhao, Zhijuan Liu, Minghao Zhuang, Jing Sun, Bo Lu, Ke Liu, Johannes W. M. Pullens, Matthew T. Harrison, Deli Chen, Xiaoguang Yang   +13 more
wiley   +1 more source

NLP-ROPCare: predicting retinopathy of prematurity with admission notes using natural language processing. [PDF]

BMJ Open Ophthalmol
Zhang Y, Zhao S, Ren J, Li Y, Zhao X, Sun J, Nie C, Xie S, Huang X, Wen J, Luo X, Zhang G.   +11 more
europepmc   +1 more source

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model

Advanced Science, EarlyView.
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen, Yang Zhao, Boqiang Hu, Wuke Wang, Minfang Song, Annabeth Xinyu Zhao, Xiangyang Li, Gefei Wang, Yanfen Wang, Weiyan Zheng, Xinpeng Zhang, Xia Lin, Yanbin Yin, Xingxu Huang, Jinfang Zheng, Tingbo Liang   +15 more
wiley   +1 more source