With the Food and Drug Administration now allowing the over-the-counter purchase of continuous glucose monitors (CGMs)—small ...

Khatun, N. (2025) Evaluations of Machine Learning Algorithms Using Simulation Study. Open Journal of Statistics, 15, 41-52.

Researchers used machine learning models to predict preterm birth risk, identifying linear SVMs as the most accurate, with ...

Treating older people with diabetes is challenging due to multiple medical comorbidities that might interfere with patients' ...

Artificial intelligence is transforming healthcare by leveraging predictive analytics for early disease detection, ensuring ...

Development of Prediction Model for Brain Amyloid-Beta Accumulation for Early Screening of Alzheimer's Disease MACHINE LEARNING MODEL USING ...

Though highly effective, medications for the prevention of chronic kidney disease progression are under-utilized, emphasizing the need for better use of prognostic tools.

Artificial intelligence (AI) is a broad term for a category of algorithms and models that perform tasks and exhibit behaviours such as learning and making decisions and predictions ... Medical devices ...

A recent study, “Towards Transparent and Accurate Diabetes Prediction Using Machine Learning and Explainable Artificial Intelligence”, conducted by Pir Bakhsh Khokhar, Viviana Pentangelo, Fabio ...

In this special issue in ACS Medicinal Chemistry Letters, you will find a collection of 14 publications which highlight significant successes made with artificial intelligence/machine learning (AI/ML) ...