By modeling the single-trial electroencephalogram of participants performing perceptual decisions, and building on predictions from two century-old psychological laws, we estimate the times of ...

A/B Test Advanced Toolkit is an experimental Python library designed for advanced A/B testing analysis. It leverages statistical techniques and machine learning, including variance reduction through ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Abstract: Industrial Internet of Things (IIoT) faces significant security challenges such as data privacy and vulnerabilities. Unsupervised anomaly detection aims to identify abnormal patterns by ...

Background PD-1 blockade has emerged as a promising approach for functional cure of chronic hepatitis B (CHB). Objective This study aimed to evaluate the safety profile of anti-PD-1 antibody (αPD-1), ...

HubSpot reports 3 growth hacks for AI-driven markets: document brand positioning, create personalized content, and diversify channels.

Abstract: A/B testing plays an essential role in driving firms’ digital product innovation. However, it is astonishing that a majority of the firms around the world have not adopted A/B testing in ...

Many medical organizations and frontline health care providers are grappling with a challenge they haven’t had to face in many years: how to protect newborns against hepatitis B. Last week, a federal ...

In a historic vote, the Centers for Disease Control and Prevention's vaccine advisers recommended narrowing the agency's hepatitis B immunization guidance for newborns. The result, if approved by the ...