Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes ...
Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
Passive Brain-Computer Interfaces (pBCIs) have shown significant advancements in recent years, indicating their readiness for ...
Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...
Participants with type 1 vs type 2 diabetes mellitus and without diabetes may have a higher risk for incident dementia.
Recent technological advances facilitate the reconstruction of complete brain connectomes in small organisms and partial ...
International researchers develop NTAC, an AI that identifies neuronal types with 90% accuracy based purely on synaptic connectivity, outperforming traditional shape-based methods.
Abstract: In recent years, the amount of household waste has increased sharply, and there is an urgent need to use intelligent waste classification equipment to assist in completing waste ...
ABSTRACT: This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based ...
Abstract: ECG (Electrocardiogram), the most commonly used tool in the diagnosis of cardiac diseases, contains a large amount of physiologic information about the electrical activity of the heart.
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