Results 181 to 190 of about 901,560 (298)

Natural language processing to identify documented pain preceding radiation therapy for bone metastases. [PDF]

JNCI Cancer Spectr
Chen JJ, Feng J, Friesner ID, Chang C, Kenny C, Elia MV, Ni L, Feng FY, Rabow MW, Braunstein SE, Boreta LC, Hong JC.   +11 more
europepmc   +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

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

Assessing the quality of AI-generated and physician-written discharge summaries: evaluation of an EHR-integrated tool in a Dutch academic hospital. [PDF]

EBioMedicine
Mehri T, Nadalini T, Hoekman AH, van der Laan TP, Kagialari K, Wagner RK, Doornberg JN, Schoonbeek RC, Bootsma-Robroeks CMHHT, Applied Artificial Intelligence in Healthcare Consortium.   +9 more
europepmc   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

From clicks to connection: designing nursing content within an electronic health record that reflects person-centred relationships and choices. [PDF]

Front Health Serv
Hardiman M, Watkin J, O'Neill W, Hanley S.   +3 more
europepmc   +1 more source

A Perspective on Interactive Theorem Provers in Physics

Advanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

A Bilingual Arabic-English Ambient AI Scribe for Clinical Documentation: Prospective Evaluation Study.

JMIR Med Inform
Khan UT, Khan AT, Aljaadi W, Alhadlaq R, Baqashmer Z, Alsafi Y, Alomran Y, Al Rusaiyes M, Radif M, Khan TN, Altamimi SAS.   +10 more
europepmc   +1 more source

Promises and challenges of applying large language models in the healthcare domain. [PDF]

Front Digit Health
Wang Q, Gong Z, Lai Z, Bu L, Dahlweid FM, Sun H.   +5 more
europepmc   +1 more source

SKOOTS: Skeleton‐Oriented Object Segmentation for Mitochondria in High‐Resolution Cochlear EM Datasets

Advanced Science, EarlyView.
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka, Richard T. Osgood, Hidetomi Nitta, Artur A. Indzhykulian   +3 more
wiley   +1 more source