Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Targeting victory in a specific competition may well be becoming a sensible strategy, even if it is at the expense of league ...

By Priyanjana Pramanik, MSc. A large European study shows that clubs systematically discount players with higher predicted ...

Background Intraocular pressure (IOP) exhibits significant fluctuations in response to changes in body posture. Postural modification may serve as a potential adjunctive strategy for IOP management in ...

Central retinal artery occlusion can result in permanent vision loss. Effective treatment is lacking. We conducted a phase 3, double-blind, double-dummy, randomized, controlled trial involving ...

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

Background The long-term trajectories of estimated glomerular filtration rate (eGFR) and their relation to early proteinuria ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...

Guzmán, P. and Halpern, M. (2026) Effects of Treatment Delays on Colorectal Cancer Survival. Journal of Cancer Therapy, 17, ...

Background Mechanical compression from the ascending aorta on the left atrial anterior wall (LAAW) can cause low voltage ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...