BMJ Open

Using virtual twin-based AI models to detect atrial fibrillation and improve stroke outcomes [TAILOR]: a multicentre prospective cohort study

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 ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

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 ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Tech Xplore

One pull of a string is all it takes to deploy these complex structures

MIT researchers have developed a new method for designing 3D structures that can be transformed from a flat configuration ...
IEEE

Research on sustainable form design of NEV vehicle based on particle swarm algorithm optimized support vector regression

Abstract: With the growing emphasis on eco-friendly and sustainable development concepts, new energy vehicles (NEVs) have emerged as a popular alternative to traditional fuel vehicles (FVs). Due to ...
IEEE

Inventory Forecasting Model for Limited Dataset (Case Study: Gas Station in Pontianak)

Abstract: in the field of inventory management, to be able to precisely predict future inventory levels is crucial, especially considering each item might have a short shelf life or require a large ...