The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Feasibility and Implementation of a Digital Health Intervention Electronic Patient-Reported Outcomes–Based Platform for Telemonitoring Patients With Breast Cancer Undergoing Chemotherapy Among the 76 ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...

Artificial Intelligence (AI) and Machine Learning (ML) in pediatrics represent a burgeoning field within healthcare, driven ...

Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

Every year, the Earth shakes thousands of times. Most of those tremors go unnoticed, felt only by sensitive instruments ...