Abstract: Modern power systems require adaptive defense mechanisms to maintain stability during disturbances. This paper proposes an Adaptive Load Shedding (ALS) strategy based on voltage and ...

Researchers used 16S rRNA sequencing and machine learning to identify gut microbiome patterns associated with insulin resistance severity in people with type 2 diabetes. XGBoost models showed that ...

A publicly available AI tool correctly predicted approximately twice as many children with acute lymphoblastic leukemia who would relapse as three expert clinicians.XGBoost, a boosting algorithm, had ...

Abstract: Atrial fibrillation (AF) is a common arrhythmia. The accuracy and efficiency of detection for wearable electrocardiogram (ECG) devices are limited by noise interference and poor data quality ...

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...