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

Objective We performed a systematic review, meta-analysis and meta-regression to determine if dietary protein supplementation augments resistance exercise training (RET)-induced gains in muscle mass ...

By Priyanjana Pramanik, MSc. New research in U.S. firefighters reveals how workplace practices, personal factors, and environmental exposures shape PFAS levels, offering insights into practical ...

On January 23, tens of thousands of Minnesotans braved subzero temperatures and took to the streets as part of a call for ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...

Predictors of Opioid Use among Active-Duty Soldiers Following Postoperative Prescription. Pain Studies and Treatment, 14, ...

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on large datasets. Therefore, they produce strong accuracy. However, their ...

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

Conclusions This study suggests that a decrease in positive leadership behaviours has a hazardous effect on workers’ level of ...