Latest AI and machine learning research in geriatrics for healthcare professionals.
Hyaluronan and proteoglycan link protein 2 (HAPLN2) / Brain link protein-1 (Bral1) is important for the binding of chondroitin sulfate proteoglycans (CSPGs) to hyaluronan and thus for the formation of specific types of brain extracellular matrix (ECM). It is also significantly increased with aging. Moreover, machine learning has identified it as a brain-derived protein most predictive of Alzheimer...
Epigenetic clocks estimate chronological and biological age from DNA methylation patterns, but conventional models typically train on hundreds of thousands of CpG sites and large training cohorts. We previously demonstrated that tissue-unique methylation sites change in a predictable manner upon aging and disease. Here, we demonstrate that clocks built from tissue-unique methylation sites enable a...
Despite aging being a fundamental biological process which profoundly influences health and disease, the interplay between tissue-specific aging and m...
Single-cell and spatial multi-omics are revolutionizing our understanding of the complexity in the developmental, aging, and diseased brain, but integ...
The cerebellum, long regarded as a motor structure, is increasingly recognized for its role in higher-order cognitive and socio-emotional functions. I...
Autonomous systems and neuroprosthetic devices demand real-time tactile processing under strict energy and latency constraints. Designing these system...
Both genotype and imaging data carry entangled information about the phenotypes. Associations between genotypes and phenotypes can be manifested or ab...
A central challenge in cognitive neuroscience is understanding how the brain represents and predicts complex, multimodal experiences in naturalistic s...
Plasma proteomics captures a functional snapshot of human physiology; yet, most machine learning models treat protein abundances as independent variab...
Cognitive training aims to prevent or slow cognitive decline in older adults, but outcomes vary widely. Engagement, describing how individuals allocat...
Autism Spectrum Disorder (ASD) is a developmental disorder characterized by heterogeneity in social and emotional responses, language, and behavior. A...
Abdominal ultrasound is a crucial first-line diagnostic tool, yet its efficacy is inherently constrained by a strong dependency on operator skill, lea...
Immunological aging (immunosenescence) drives increased susceptibility to infections and reduced vaccine efficacy in elderly populations. Current bulk...
Aging and tissue repair involve multilayered and spatially heterogeneous remodeling across transcriptional, biochemical, and cellular dimensions, yet ...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent condition characterized by fat build-up in the liver and ranges...
Single-cell RNA sequencing (scRNA-seq) has significantly advanced our understanding of Alzheimer’s disease and aging by revealing cellular heterogenei...
Declarative memory deficits represent considerable challenges to adequate functioning and wellbeing in temporal lobe epilepsy (TLE) and frontal lobe e...
Genomic prediction and design require models that integrate local sequence features with long-range regulatory dependencies spanning hundreds of kilob...
Proteostasis dysfunction is a hallmark of frontotemporal dementia (FTD) and Alzheimer’s disease (AD), yet the genetic and molecular pathways that disr...
Small molecule identification is central to research fields such as drug discovery, but in complex systems like Traditional Chinese Medicine (TCM), tr...