Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...

Using AI to provide new insights into why Ebola outcomes differ between patients

There is currently a serious outbreak in the Democratic Republic of the Congo of the severe and often fatal illness. Symptoms ...
IEEE

Real-Time Driver Drowsiness Detection for Road Safety using Hybrid YOLOv8 and CNN Approach

Abstract: One major cause of road accidents in the world is road fatigue among drivers, which is a major challenge to the security of the people. In this paper, I present a novel hybrid deep learning ...
RMD Open

Development and assessment of an assisted diagnosis model using machine learning for identifying adult-onset Still’s disease in fever of unknown origin: a retrospective …

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

AI unlocks previously invisible cortical lesions in MS using legacy MRI scans

One of the uncomfortable truths about multiple sclerosis is that the part of the brain likely to reveal the most about the ...
IEEE

DrowsiGuard: Machine Learning-Based Driver Drowsiness Detection System for Enhanced Road Safety

Abstract: Drivers need to stay focused on the road to respond quickly to unexpected situations. Fatigue is a significant factor in many traffic accidents. Therefore, it's important to have measures ...