Biology-inspired brain model matches animal learning and reveals overlooked neuron activity

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

Machine learning identifies statin and phenothiazine combo for neuroblastoma treatment

Using machine learning and a large volume of data on genes and existing drugs, researchers at Lund University in Sweden have ...
IEEE

A comparative evaluation of Deep Learning models for tumor segmentation: identifying the optimal framework for clinical integration

Abstract: Accurate tumor segmentation is crucial for effective radiotherapy planning and surgical applications through 3D models and patient-specific instruments. Manual delineation is labor-intensive ...

A brain-dedicated scanner is changing what doctors can see. CT researchers say that ‘opens the door’

The ability to follow patients with this high sensitivity allows us to make a more accurate and precise measurement, and we can see small changes or see them in a shorter period of time…,” ...
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 ...