Results 161 to 170 of about 911,325 (268)

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Genomic characterization of invasive disease-causing <i>Streptococcus pneumoniae</i> in Lebanon, 2003-2025. [PDF]

Microb Genom
Dakroub F, King AC, Akl F, Zaghlout A, Hourani N, Hung H, Barada S, Boutros CF, Ferreira ADS, McGee L, Reslan L, Damaj S, Ghosn N, Matar GM, Araj GF, Abou Fayad A, Bentley SD, Lo SW, Dbaibo GS, For The Lebanese Inter-Hospital Pneumococcal Surveillance Program Investigators.   +19 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Combining social and private information: How ants use pheromones and learnt cues to navigate. [PDF]

Learn Behav
Freas CA, Buehlmann C, Spetch ML.
europepmc   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Reselling or agency selling? Sales mode selection for a manufacturer in private label competition under information asymmetry. [PDF]

PLoS One
Yang M, Li A, Yang Y.
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Distribution disparities among medical specialists in Thailand: an equity analysis of the national health workforce database (2015-2024). [PDF]

BMJ Open
Sitthirat P, Suppawittaya P, Yoadsanit S, Osotthanakorn P, Srithamrongsawat S, Suriyawongpaisal P, Kaewkamjonchai P, Tangcharoensathien V.   +7 more
europepmc   +1 more source

Everyday privatization

, 2021
openaire   +2 more sources

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source