Latest AI and machine learning research in geriatrics for healthcare professionals.
The human brain encodes a virtually infinite repertoire of semantic concepts using a finite number o...
Imageomics uses machine learning to accelerate our understanding of biological traits and human dise...
Inhibition is a core cognitive control function whose competence is distributed across the populatio...
Generative AI framework-based modeling and prediction of longitudinal human brain images offer an ef...
Large visual language models (VLMs) have shown strong multi-modal medical reasoning ability, but mos...
Continuum robots possess high flexibility and redundancy, making them well suited for safe interacti...
Differential privacy (DP)'s effect in medical imaging is typically evaluated only through end-to-end...
Alzheimer's disease is a progressive neurodegenerative disorder in which mild cognitive impairment (...
Background: Intrinsic capacity (IC) is a key marker of healthy ageing, which captures an individuals...
Abiotic stresses are primary constraints on global crop productivity, reducing yields by up to 80%. ...
Quantifying biological aging is crucial for understanding functional decline before the onset of mor...
Small target detection in UAV imagery faces significant challenges such as scale variations, dense d...
With the explosive growth of digital entertainment, automated video summarization has become indispe...
Background: Objective Structured Clinical Examination (OSCE; Clinical Performance Examination [CPX] ...
Background: Although deep learning models have improved individual PET analysis, image processing an...
The rapid expansion of biomedical publications creates challenges for organizing knowledge and detec...
Phenotyping is fundamental to rare disease diagnosis, but manual curation of structured phenotypes f...
Although multiple high-performing epigenetic aging clocks exist, few are based directly on gene expr...
Deep learning models for medical image analysis often act as black boxes, seldom aligning with clini...
Background: Current risk stratification for Ewing sarcoma relies heavily on clinical factors such as...
Alzheimer's disease (AD) alters brain electrophysiology and disrupts multichannel EEG dynamics, maki...