Papers Human Aging
“Human Aging” 태그가 달린 논문 21편 · 필터 해제
Trajectory Inference of Human Aging from Cross-Sectional DNA Methylation Data
DNA methylation (DNAm) serves as one of the most robust molecular biomarkers of biological aging. While conventional epigenetic clocks accurately predict chronological age from high-dimensional CpG profiles, they treat a…
Human AgingPan-FM: A Pan-Organ Foundation Model with Saliency-Guided Masking for Missing Robustness
Foundation models (FMs) have shown great promise in medical imaging, but most FMs are trained on unimodal data within isolated domains, such as brain MRI alone. Human aging and disease arise through coordinated biologica…
Self-Supervised LearningRepresentation LearningHuman AgingPhenome-Wide Multi-Omics Integration Uncovers Distinct Archetypes of Human Aging
Aging is a highly complex and heterogeneous process that progresses at different rates across individuals, making biological age (BA) a more accurate indicator of physiological decline than chronological age. While previ…
Human AgingTimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models
Reasoning about temporal causality, particularly irreversible transformations of objects governed by real-world knowledge (e.g., fruit decay and human aging), is a fundamental aspect of human visual understanding. Unlike…
Human AgingQuestion AnsweringVisual Question AnsweringWorld KnowledgeThe Aging Metabolite Database with Summary Statistics
Thousands of metabolomic papers are published each year, creating challenges for scientists to combine results and yield conclusions that span across studies. Literature databases such as the Human Metabolome Database pr…
Human AgingSynthetic Face Ageing: Evaluation, Analysis and Facilitation of Age-Robust Facial Recognition Algorithms
The ability to accurately recognize an individual's face with respect to human aging factor holds significant importance for various private as well as government sectors such as customs and public security bureaus, pass…
Age-Invariant Face RecognitionFace RecognitionHuman AgingHeteroskedasticity as a Signature of Association for Age-Related Genes
Human aging is a process controlled by both genetics and environment. Many studies have been conducted to identify a subset of genes related to aging from the human genome. Biologists implicitly categorize age-related ge…
Causal InferenceHuman AgingModelling disease impact: lifespan reduction is greatest for young adults in an exogenous damage model of disease
We model the effects of disease and other exogenous damage during human aging. Even when the exogenous damage is repaired at the end of acute disease, propagated secondary damage remains. We consider both short-term mort…
Human AgingTowards future directions in data-integrative supervised prediction of human aging-related genes
Identification of human genes involved in the aging process is critical due to the incidence of many diseases with age. A state-of-the-art approach for this purpose infers a weighted dynamic aging-specific subnetwork by …
Data IntegrationHuman AgingPredictionScaling Language Models: Methods, Analysis & Insights from Training Gopher
Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world. In this paper, we present an analysis o…
Abstract AlgebraAnachronismsAnalogical SimilarityAnalytic Entailment+143Early life imprints the hierarchy of T cell clone sizes
The adaptive immune system responds to pathogens by selecting clones of cells with specific receptors. While clonal selection in response to particular antigens has been studied in detail, it is unknown how a lifetime of…
Human AgingLifespan Age Transformation Synthesis
We address the problem of single photo age progression and regression-the prediction of how a person might look in the future, or how they looked in the past. Most existing aging methods are limited to changing the textu…
Face Age EditingGenerative Adversarial NetworkHuman AgingImage Manipulation+4Supervised prediction of aging-related genes from a context-specific protein interaction subnetwork
Background. Human aging is linked to many prevalent diseases. The aging process is highly influenced by genetic factors. Hence, it is important to identify human aging-related genes. We focus on supervised prediction of …
Data IntegrationHuman AgingThe Trajectory of Voice Onset Time with Vocal Aging
Vocal aging, a universal process of human aging, can largely affect one's language use, possibly including some subtle acoustic features of one's utterances like Voice Onset Time. To figure out the time effects, Queen El…
Human AgingGlobal and Local Consistent Wavelet-domain Age Synthesis
Age synthesis is a challenging task due to the complicated and non-linear transformation in human aging process. Aging information is usually reflected in local facial parts, such as wrinkles at the eye corners. However,…
Age EstimationFace VerificationGenerative Adversarial NetworkHuman Aging+1Inference of the Dynamic Aging-related Biological Subnetwork via Network Propagation
Gene expression (GE) data capture valuable condition-specific information ("condition" can mean a biological process, disease stage, age, patient, etc.) However, GE analyses ignore physical interactions between gene prod…
Human AgingInferring Multidimensional Rates of Aging from Cross-Sectional Data
Modeling how individuals evolve over time is a fundamental problem in the natural and social sciences. However, existing datasets are often cross-sectional with each individual observed only once, making it impossible to…
Human AgingTime SeriesTime Series AnalysisGlobal and Local Consistent Age Generative Adversarial Networks
Age progression/regression is a challenging task due to the complicated and non-linear transformation in human aging process. Many researches have shown that both global and local facial features are essential for face r…
AttributeGenerative Adversarial NetworkHuman AgingMORPHPersonalized and Occupational-aware Age Progression by Generative Adversarial Networks
Face age progression, which aims to predict the future looks, is important for various applications and has been received considerable attentions. Existing methods and datasets are limited in exploring the effects of occ…
Human AgingFace Prediction Model for an Automatic Age-invariant Face Recognition System
Automated face recognition and identification softwares are becoming part of our daily life; it finds its abode not only with Facebook's auto photo tagging, Apple's iPhoto, Google's Picasa, Microsoft's Kinect, but also i…
Age-Invariant Face RecognitionFace DetectionFace IdentificationFace Recognition+2