Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 45,301 to 45,310 of 224,055 articles

AI fragmentation-based optimization of Sorafenib derivatives targeting VEGFR2 for angiogenesis-related pathologies: a structure-based in-silico study.

Scientific reports
Vascular endothelial growth factor receptor 2 (VEGFR2) is a central regulator of angiogenesis and endothelial signaling and represents a validated therapeutic target in multiple angiogenesis-associated pathologies. Sorafenib is a clinically used mult... read more 

Learning-aided observer design for improving autonomous vehicle safety.

Scientific reports
This paper introduces a novel method for the enhancement of automated vehicle safety and efficiency during critical manoeuvres. The fundamental of the presented method is the observer design architecture, in which lateral dynamic states of the vehicl... read more 

ETNeXt: integrated feature engineering and classification framework for BLDC motor fault detection.

Scientific reports
Brushless DC (BLDC) motors are widely used in industrial and automotive systems due to their high efficiency, low maintenance requirements, and compact structure. However, they are vulnerable to various electrical and mechanical faults, such as beari... read more 

physically interpretable residual strength prediction of corroded pipelines via symbolic Bayesian networks.

Scientific reports
Residual strength assessment of corroded pipelines is essential for ensuring the structural integrity and safe operation of gas transportation infrastructure. Traditional empirical formulas and finite element analyses, while widely used, often lack a... read more 

Sleep quality prediction in basketball athletes using a deep learning framework with an attention mechanism based on multimodal data.

Scientific reports
It is difficult for traditional prediction methods to comprehensively evaluate the sleep quality problems of college basketball players, which is a key research problem in the field of physical education in colleges and universities. This study aims ... read more 

Gene driven analytical learning model for accurate breast cancer diagnosis.

Scientific reports
Patients diagnosed with breast cancer exhibit a diverse range of prognostic outcomes due to the varied nature of the disease across different patient groups. To address this complexity and enhance prognostic predictions based on gene expression data ... read more