Latest AI and machine learning research in geriatrics for healthcare professionals.
Alzheimer's disease (AD) is a complex neurodegenerative disorder with multifactorial etiology and widespread molecular manifestations. Investigating molecular disease associations in a broader multi-level context across omics modalities remains one central challenge in AD research, despite the increasing availability of large-scale omics data. The AD Atlas, an online multi-omics resource, provides...
Estimating the 6D pose of objects from a single RGB image is a critical task for robotics and extended reality applications. However, state-of-the-art multi stage methods often suffer from high latency, making them unsuitable for real time use. In this paper, we present Yolo-Key-6D, a novel single stage, end-to-end framework for monocular 6D pose estimation designed for both speed and accuracy. Ou...
Radiologists highly desire fully automated AI for radiology report generation (R2G), yet existing approaches fall short in clinical utility. Reinforce...
Epigenetic clocks estimate biological age from DNA methylation patterns at CpG sites, providing robust predictions of mortality and morbidity risk. "B...
Rare diseases affect over 300 million people worldwide, yet patients often endure years-long diagnostic delays that limit timely intervention and tria...
Background: Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive decline, memory impairment, and functional deteriorati...
Classical radiomic features are designed to quantify image appearance and intensity patterns. Compared with end-to-end deep learning (DL) models train...
Reliable Alzheimer's disease (AD) diagnosis increasingly relies on multimodal assessments combining structural Magnetic Resonance Imaging (MRI) and El...
The human brain encodes a virtually infinite repertoire of semantic concepts using a finite number of neurons, a feat that defies the capacity limits ...
Imageomics uses machine learning to accelerate our understanding of biological traits and human disease processes. Some of the earliest imageomics app...
Inhibition is a core cognitive control function whose competence is distributed across the population, with more extreme impairments in psychiatric co...
Generative AI framework-based modeling and prediction of longitudinal human brain images offer an efficient mechanism to track neurodegenerative progr...
Large visual language models (VLMs) have shown strong multi-modal medical reasoning ability, but most operate as end-to-end black boxes, diverging fro...
Continuum robots possess high flexibility and redundancy, making them well suited for safe interaction in complex environments, yet their continuous d...
Existing image editing methods struggle to perceive where to edit, especially under complex scenes and nuanced spatial instructions. To address this i...
Differential privacy (DP)'s effect in medical imaging is typically evaluated only through end-to-end performance, leaving the mechanism of privacy-ind...
Alzheimer's disease is a progressive neurodegenerative disorder in which mild cognitive impairment (MCI) marks a critical transition between aging and...
Background: Intrinsic capacity (IC) is a key marker of healthy ageing, which captures an individuals physical and mental capacities, measured across f...
Abiotic stresses are primary constraints on global crop productivity, reducing yields by up to 80%. While traditional phenotypic sensing detects stres...
Quantifying biological aging is crucial for understanding functional decline before the onset of morbidity. While many accelerated aging and frailty m...