Results 221 to 230 of about 72,345 (262)

An immunodominance perspective on a paradoxical phenomenon: discovery and modeling of ragweed and tree sensitization as negative predictors for high mugwort IgE reactivity. [PDF]

Front Allergy
Zhang Y, Yan X, Yang F, Li S, Shen X, Ma R.   +5 more
europepmc   +1 more source

Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries

InfoScience, EarlyView.
Artificial intelligence can efferently accelerate the high‐throughput screening of battery materials, the analysis of multiphase mechanisms, and the precise prediction of capacity and cycle life. This review systematically summarizes the applications of machine learning (ML) in decoupling the complex structure‐activity relationships of lithium‐ion ...
Tao Wang, Yuhang Meng, Tianhao Chen, Xiangfen Jiang, Yoshio Bando, Jinjue Zeng, Xuebin Wang   +6 more
wiley   +1 more source

Missing data imputation in hourly CO measurements for air quality monitoring: a case study in the city of Salvador, Brazil. [PDF]

Environ Monit Assess
de Assis TCB, Fontes CH, Albuquerque ÉL.   +2 more
europepmc   +1 more source

Multi‐omics biomarkers for intestinal infection and inflammation in inflammatory bowel disease: Current evidence, translational challenges, and diagnostic opportunities

Interdisciplinary Medicine, EarlyView.
Prospective multi‐site cohorts, multi‐omics profiling, and computational analysis may help identify biomarker patterns across clinical settings in IBD and superimposed infections. With further mechanistic and clinical validation, these signals could support the development of practical multi‐analyte tools for more precise diagnosis and management ...
Ziyu Yang, Jiayi Yao, Xinxian Zhao, Yan Xu, Yifan Chen, Tianchi Chen, Ying Jian, Min Li   +7 more
wiley   +1 more source

Development and validation of a machine learning-based model for diagnosing perioperative malnutrition in older adults with hip fracture. [PDF]

Front Nutr
He Z, Han M, An Y, Xiao H, Yang Y, Ye J, Wang T, Li J.   +7 more
europepmc   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source

Predicting Mechanical Strength of Alkali-Activated High-Performance Concrete Using Machine-Learning Methods. [PDF]

Materials (Basel)
Biswas R, Kazemi F, Sharma A, Jankowski R, Asteris PG.   +4 more
europepmc   +1 more source

A Comprehensive Study to Compare Different Compound Representations for Predicting Carcinogenicity In Vivo

Journal of Applied Toxicology, EarlyView.
ABSTRACT Carcinogenicity evaluation is a critical component of chemical risk assessment, yet traditional in vivo testing remains time consuming, costly, and ethically challenging. Computational approaches based on machine learning offer promising alternatives, but the relative contributions of different molecular representation strategies for ...
Iuri Barbosa Pereira, Rogerio Salvini, Eloisa Dutra Caldas   +2 more
wiley   +1 more source

Machine Learning-Based Prediction of Polymer Properties Using Structure-Property Relationship Modeling. [PDF]

Polymers (Basel)
Rahman MH, Arifuzzaman M, Haque ME, Naidu RS, Hoque ME, Martuza MA.   +5 more
europepmc   +1 more source

Comparison of machine learning methods for prediction of venous thromboembolism among hospitalized adults

Journal of Hospital Medicine, EarlyView.
Abstract Background Hospital‐acquired venous thromboembolism (HA‐VTE) is a significant cause of morbidity and mortality among hospitalized adults. Accurate prediction of HA‐VTE is crucial for timely intervention and prevention. While logistic regression is widely used for the development of clinical prediction models, there is ongoing interest in the ...
Yeji Ko, Benjamin French, Jonathan S. Schildcrout, Merna El‐Rifai, Adam Wright, Benjamin F. Tillman, Amanda S. Mixon, Henry J. Domenico   +7 more
wiley   +1 more source