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 ...

J-Star Holding Co., Ltd. ( ($YMAT) ) has issued an announcement. On December 23, 2025, J-Star Holding Co., Ltd. announced that its urban mobility ...

In today’s fast-paced electronics design automation (EDA) environment, effective data management has become essential.

This study found that certain characteristics in linked electronic health record data across episodes of care can help identify patients with Alzheimer disease and related dementias at high risk of 30 ...

Pediatric ENT emergencies pose unique risks because small anatomic airways can make minor pathology life-threatening in minutes. The WHO pediatric emergency care framework underscores the urgency of ...

Learn more about eLife assessments Blood flow to the brain is a sensitive marker of neuronal activity as well as of a number of diseases, including stroke, tumours and neurodegenerative conditions.

CatDRX is a generative AI framework developed at Institute of Science Tokyo, which enables the design of new chemical ...

During Q3, the Harbor Capital Appreciation Fund returned 5.11%, underperforming its benchmark, the Russell 1000® Growth Index ...

Milestone Pharmaceuticals Inc.’s CARDAMYST nasal spray wins FDA approval for PSVT, but faces tough competition and market ...

Scientists at the University of Oxford demonstrate an approach to interpreting how materials interact with polarized light, ...

To prevent jitter between frames, Kuta explains that D-ID uses cross-frame attention and motion-latent smoothing, techniques that maintain expression continuity across time. Developers can even ...

Introduction Suicide is a significant public health issue worldwide. Many deaths by suicide occur in moments of crisis. Therefore, interventions which support individuals to manage moments of acute ...