Latest AI and machine learning research in geriatrics for healthcare professionals.
Drug-drug interaction (DDI) prediction is central to drug discovery and clinical development, partic...
Human motion reconstruction from monocular videos is a fundamental challenge in computer vision, wit...
Objective: To evaluate the performance of Thermalytix, an artificial intelligence-enhanced breast th...
Early and accurate diagnosis of Alzheimer's Disease (AD) is critical for effective intervention. Whi...
Accurately modeling longitudinal brain MRI progression is crucial for understanding neurodegenerativ...
Early and accurate classification of Alzheimers disease (AD) from brain MRI scans is essential for t...
We present \textbf{LightOnOCR-2-1B}, a 1B-parameter end-to-end multilingual vision--language model t...
Background: Cancer research emphasises early detection, yet quantitative methods for analysing norma...
Early detection of neurodegenerative diseases such as Alzheimer's Disease (AD) and Frontotemporal De...
Estimating brain age (BA) from T1-weighted magnetic resonance images (MRIs) provides a useful approa...
Vision-Language-Action (VLA) models are emerging as highly effective planning models for end-to-end ...
ImportanceVision-language models (VLMs) enable generalist multimodal reasoning, but their ability to...
AI agents are increasingly used in long, multi-turn workflows in both research and enterprise settin...
Aging is often accompanied by cognitive decline, but the extent, timing, and severity of this proces...
BackgroundThe ATN (Amyloid/Tau/Neurodegeneration) framework provides a theory-driven approach to Alz...
Aging, the leading risk factor for numerous diseases, manifests through diverse structural and archi...
Real-world License Plate Recognition (LPR) faces significant challenges from severe degradations suc...
The unknown pathogenic mechanisms of Alzheimer's disease (AD) make treatment challenging. Neuroimagi...
Large language models (LLMs) have taken the natural language processing (NLP) domain by storm, and t...
Muscle is one of the most abundant tissues in the human body, and its aging usually leads to many ad...
Subgraph federated learning (subgraph-FL) is a distributed machine learning paradigm enabling cross-...