Results 221 to 230 of about 673,334 (289)

Targeted Next-Generation Sequencing Reveals Distinct Pathogen Profiles in Community-Acquired Pneumonia Across Age and Disease Severity. [PDF]

Infect Drug Resist
Cui S, Wen B, Wang Y, Yang X, Fan F, Zhao M, Jiang Y, Yu X.   +7 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Microbial Community Composition and Function in Jiangsu Oil Reservoir Cores, China. [PDF]

Environ Microbiol Rep
Wang BW, Liu YF, Chen LG, Wang B, Qian ZH, Yang F, Cai JC, Zhou L, Yang SZ, Gu JD, Mu BZ.   +10 more
europepmc   +1 more source

The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers

Advanced Intelligent Discovery, EarlyView.
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen, Patrick W. V. Butler, Jesper R. Pedersen, Nis Fisker‐Bødker, Tejs Vegge, Jin Hyun Chang, Ivano E. Castelli   +6 more
wiley   +1 more source

AO Spine Asia Pacific Regional Conference 2025. [PDF]

Global Spine J
Yin Cheung JP, Nene A.
europepmc   +1 more source

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

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

Soil and plant communities co-regulating plant biomass allocation patterns along a saline-alkali gradient, case study of <i>Allium ramosum</i> in Songnen Grassland, Northeast China. [PDF]

Front Plant Sci
Fu C, Fan J, Fan G, Wang H, Wang C, Qiang W, Yu D, Huang Y.   +7 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Association of Vascular Age and Subclinical Target Organ Damage in a Beijing Community-Based Population: A Cross-Sectional Study. [PDF]

J Cardiovasc Dev Dis
Zhang X, Gao L, Fan F, Jia J, Dong T, Yu Y, Zhang Y.   +6 more
europepmc   +1 more source