Results 151 to 160 of about 50,437 (269)

Piezoelectric Materials in Medical Ultrasound: A Comprehensive Review From Fundamentals to Translational Prospects

Information &Functional Materials, EarlyView.
Piezoelectric materials are reviewed as active platforms for medical ultrasound, bridging electromechanical fundamentals, transducer architectures, and biomedical applications. Material–device co‐design is emphasized as the key to high‐performance diagnosis, therapy, monitoring, wearable ultrasound, and emerging ultrasound‐responsive functions ...
Jianan Li, Qing Wan
wiley   +1 more source

DTF-STCANet: A Dual Time-Frequency Swin Transformer and ConvNeXt Attention Network for Heart Sound Classification. [PDF]

Diagnostics (Basel)
Bilen MN, Çelik FM, Kobat MA, Demir F.
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

Colorimetric sensor array combined with machine learning for discriminating the geographical origins and grape varieties of Chinese red wines. [PDF]

Food Chem X
Meng Z, Qiang HQ, Lv Y, Yan ML, Zhang ZY, Wang JW, Wang ZJ, Yin XL, Gu HW.   +8 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

Optimized KNN with domain-informed features and LIME explainability for improved breast cancer classification. [PDF]

BMC Med Inform Decis Mak
AlOmair O, M Zakaria O, Alabdullatif M, Khurshid Z.   +3 more
europepmc   +1 more source

Exposure–Recovery Approach for Hepatic Toxicity Analysis of Pyrethroid Lambda‐Cyhalothrin: Histopathological, Histochemical, and Biochemical Responses in Oreochromis niloticus

Journal of Applied Toxicology, EarlyView.
ABSTRACT Lambda‐cyhalothrin is a synthetic pyrethroid insecticide widely used in agriculture, but its potential to contaminate aquatic ecosystems and exert high toxicity on fish at low concentrations raises ecotoxicological concerns. While standard histopathological and biochemical assessments are common, the novel integration of pigment‐based ...
Carlos Eurico Fernandes, André Luiz do Nascimento Silva, Tiago Venancio da Silva, Karine Nathiele Nogueira Farias, Sabrina Fuzer Gonçalves, Brenda de Oliveira Martins, Maria Eduarda Corona Garcia, Lilian Franco‐Belussi   +7 more
wiley   +1 more source

Early prediction of immune checkpoint inhibitor-related pneumonitis in advanced non-small cell lung cancer based on primary tumor delta-radiomics features. [PDF]

Front Immunol
Xie D, Xu L, Xu J, Chen H, Yu J, He C, Qiu Y, Fu L, Han Q, Kong L, Wu F.   +10 more
europepmc   +1 more source

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

Journal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu, Jie Shi, Fengjuan Wang, Liang Ma, Huangang Hu, Li Zhang, Jie Song, Heng Jin, Dingwei Yang, Xiaoqin Guo, Haojun Fan, Qi Lv   +11 more
wiley   +1 more source

Landmark-Based Features for Vehicle Trajectory Anomaly Detection from Traffic Video in Urban Intersections-A Case Study. [PDF]

Sensors (Basel)
Cleju N, Catargiu C.
europepmc   +1 more source