Image de couverture de livre

Inferring and predicting Fried physical frailty phenotype deficits

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Pridham, Glen, Rockwood, Kenneth, Rutenberg, Andrew
Format:	Preprint
Publié:	2025
Sujets:	Quantitative Methods
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Aging health dynamics cross a tipping point near age 75
par: Pridham, Glen, et autres
Publié: (2024)

Dynamical network stability analysis of multiple biological ages provides a framework for understanding the aging process
par: Pridham, Glen, et autres
Publié: (2023)

Systems-level health of patients living with end-stage kidney disease using standard lab values
par: Pridham, Glen, et autres
Publié: (2024)

Systemic physiological cliff at menopause revealed by temporal deconvolution of 300 million lab tests: a multi-cohort retrospective study
par: Pridham, Glen, et autres
Publié: (2025)

INDIGENA: inductive prediction of disease-gene associations using phenotype ontologies
par: Zhapa-Camacho, Fernando, et autres
Publié: (2026)

Bridging the genotype-phenotype gap with generative artificial intelligence
par: Liu, Yangfan, et autres
Publié: (2025)

Enhancing Breast Cancer Prediction with LLM-Inferred Confounders
par: Roy, Debmita
Publié: (2025)

Inferring processes within dynamic forest models using hybrid modeling
par: Pichler, Maximilian, et autres
Publié: (2025)

Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencoders
par: Calderon, Josuan, et autres
Publié: (2024)

Uncertainty quantification of receptor ligand binding sites prediction
par: Chen, Nanjie, et autres
Publié: (2024)

Bayesian ensemble learning for predicting health outcomes of multipollutant mixtures
par: Ning, Yu-Chien, et autres
Publié: (2025)

Inferring directed spectral information flow between mixed-frequency time series
par: Xian, Qiqi, et autres
Publié: (2024)

Inferring gene regulation dynamics from static snapshots of gene expression variability
par: Joly-Smith, Euan, et autres
Publié: (2021)

Dynamic response phenotypes and model discrimination in systems and synthetic biology
par: Sontag, Eduardo D.
Publié: (2025)

Implementation of an AI-based MRD evaluation and prediction model for multiple myeloma
par: Chen, Jianfeng, et autres
Publié: (2024)

Drug-target interaction prediction by integrating heterogeneous information with mutual attention network
par: Zhang, Yuanyuan, et autres
Publié: (2024)

Mapping gene expression dynamics to developmental phenotypes with information entropy analysis
par: Ansbacher, Ben, et autres
Publié: (2025)

Forecasting and predicting stochastic agent-based model data with biologically-informed neural networks
par: Nardini, John T.
Publié: (2023)

ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning
par: Michalewicz, Kevin, et autres
Publié: (2024)

Fake it till you predict it: data augmentation strategies to detect initiation and termination of oncology treatment
par: Pohyer, Valentin, et autres
Publié: (2024)

Comorbid anxiety predicts lower odds of MDD improvement in a trial of smartphone-delivered interventions
par: Talbot, Morgan B., et autres
Publié: (2024)

A novel mathematical model for predicting the benefits of physical activity on type 2 diabetes progression
par: De Paola, Pierluigi Francesco, et autres
Publié: (2024)

Continued domain-specific pre-training of protein language models for pMHC-I binding prediction
par: Mares, Sergio E., et autres
Publié: (2025)

actifpTM: a refined confidence metric of AlphaFold2 predictions involving flexible regions
par: Varga, Julia K., et autres
Publié: (2024)

Using neural ordinary differential equations to predict complex ecological dynamics from population density data
par: Arroyo-Esquivel, Jorge, et autres
Publié: (2023)

Minimax entropy: The statistical physics of optimal models
par: Carcamo, David P., et autres
Publié: (2025)

Precision psychiatry: predicting predictability
par: van Dellen, Edwin
Publié: (2023)

Beware of so-called 'good' correlations: a statistical reality check on individual mRNA-protein predictions
par: Gosselin, Romain-Daniel
Publié: (2025)

Integrating protein sequence embeddings with structure via graph-based deep learning for single-residue property prediction
par: Michalewicz, Kevin, et autres
Publié: (2025)

bio2Byte Tools deployment as a Python package and Galaxy tool to predict protein biophysical properties
par: Gavalda-Garcia, Jose, et autres
Publié: (2024)

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists
par: Ivanova, Mariya L., et autres
Publié: (2025)

ProtBoost: protein function prediction with Py-Boost and Graph Neural Networks -- CAFA5 top2 solution
par: Chervov, Alexander, et autres
Publié: (2024)

No winners: Performance of lung cancer prediction models depends on screening-detected, incidental, and biopsied pulmonary nodule use cases
par: Li, Thomas Z., et autres
Publié: (2024)

Inferring Leader-Follower Behavior from Presence Data in the Marine Environment: A Case Study on Reef Manta Rays
par: Fernández-Gracia, Juan, et autres
Publié: (2024)

Machine Learning - driven insights for predicting the impact of nanoparticles on the functionality of biomolecules, Illustrated by the case of DNA Damage-Inducible Transcript 3 (CHOP) inhibitors
par: Ivanova, Mariya L., et autres
Publié: (2025)

A reduced model for the long-term effects of physical activity on type 2 diabetes
par: Multerer, Lea, et autres
Publié: (2024)

Assessing the properties of the prediction interval in random-effects meta-analysis
par: Matrai, Peter, et autres
Publié: (2024)

Exploring accuracy and uncertainty quantification in physics-informed neural networks for inferring microbial community dynamics
par: Fontanarrosa, Pedro, et autres
Publié: (2025)

Large-scale digital phenotyping: identifying depression and anxiety indicators in a general UK population with over 10,000 participants
par: Zhang, Yuezhou, et autres
Publié: (2024)

Inferring stochastic dynamics with growth from cross-sectional data
par: Zhang, Stephen, et autres
Publié: (2025)