Geriatrics

Latest AI and machine learning research in geriatrics for healthcare professionals.

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Showing 4474-4494 of 8,142 articles
Lab-in-the-loop therapeutic antibody design with deep learning

Therapeutic antibody design is a complex multi-property optimization problem with substantial promis...

An Application for Automated Drosophila Locomotor Assay with Integrated Device Design and Computer Vision Tracking

Drosophila has long served as a powerful model for investigating locomotor behavior, and geotaxis as...

BudFinder: A Masked Auto-Encoder Vision Transformer Framework for Yeast Budding Detection

Yeast replicative lifespan is a crucial part of aging research, yet its quantification remains labor...

Fine-Tuning Protein Language Models Enhances the Identification and Interpretation of the Transcription Factors

Transcription factors (TFs) are pivotal regulators of gene expression and play essential roles in di...

Clair-Mosaic: A deep-learning method for long-read mosaic small variant calling

Mosaic variants, defined as postzygotic mutations occurring during an organism’s development from zy...

Evo2HiC: a multimodal foundation model for integrative analysis of genome sequence and architecture

Understanding how genomic sequences shape three-dimensional (3D) genome architecture is funda-mental...

Increased levels of HAPLN2, which anchors dense extracellular matrix, in the hippocampus of APOE4 targeted replacement mice

Hyaluronan and proteoglycan link protein 2 (HAPLN2) / Brain link protein-1 (Bral1) is important for ...

Colon-Specific Epigenetic Clocks from Minimal Features Reveal Disease-Driven Aging

Epigenetic clocks estimate chronological and biological age from DNA methylation patterns, but conve...

ORANGE: A Machine Learning Approach for Modeling Tissue-Specific Aging from Transcriptomic Data

Despite aging being a fundamental biological process which profoundly influences health and disease,...

scMOBA: A conversational single-cell Multi-Omics Brain Agent across species

Single-cell and spatial multi-omics are revolutionizing our understanding of the complexity in the d...

Attentional focus and emotion modulate voice recognition deficits in cerebellar stroke patients

The cerebellum, long regarded as a motor structure, is increasingly recognized for its role in highe...

From Skin to Cortex: End-to-End Spiking Neural Network Simulation of Tactile Information Flow

Autonomous systems and neuroprosthetic devices demand real-time tactile processing under strict ener...

Deep Mediation Analysis for Multimodal Genotype-Imaging Associations with Disease Phenotypes

Both genotype and imaging data carry entangled information about the phenotypes. Associations betwee...

Comprehensive Neural Representations of Naturalistic Stimuli through Multimodal Deep Learning

A central challenge in cognitive neuroscience is understanding how the brain represents and predicts...

Protein Compositional Ratio Representation (PCRR) Systematically Improves Human Disease Prediction

Plasma proteomics captures a functional snapshot of human physiology; yet, most machine learning mod...

AI-assisted modeling of attention quantifies engagement and predicts cognitive improvement in older adults

Cognitive training aims to prevent or slow cognitive decline in older adults, but outcomes vary wide...

Structural changes in autism reflect atypical brain network organization and phenotypical heterogeneity: a hybrid deep network approach

Autism Spectrum Disorder (ASD) is a developmental disorder characterized by heterogeneity in social ...

Ensemble-DeepSets: an interpretable deep learning framework for single-cell resolution profiling of immunological aging

Immunological aging (immunosenescence) drives increased susceptibility to infections and reduced vac...

RamanOmics Decodes Spatial Vibrational-Molecular Architecture and Rewiring in Aging and Repair

Aging and tissue repair involve multilayered and spatially heterogeneous remodeling across transcrip...

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