Cover Image

A Machine Learning Approach to Predict Biological Age and its Longitudinal Drivers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dunbayeva, Nazira, Li, Yulong, Xie, Yutong, Razzak, Imran
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How Effectively Can Large Language Models Connect SNP Variants and ECG Phenotypes for Cardiovascular Risk Prediction?
by: Menon, Niranjana Arun, et al.
Published: (2025)

DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning
by: Liu, Xiwei, et al.
Published: (2026)

Few-Label Multimodal Modeling of SNP Variants and ECG Phenotypes Using Large Language Models for Cardiovascular Risk Stratification
by: Menon, Niranjana Arun, et al.
Published: (2025)

From Uncertainty to Trust: Kernel Dropout for AI-Powered Medical Predictions
by: Azam, Ubaid, et al.
Published: (2024)

BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction
by: Azam, Ubaid, et al.
Published: (2024)

Vulnerability Detection in Smart Contracts: A Comprehensive Survey
by: De Baets, Christopher, et al.
Published: (2024)

NarrationDep: Narratives on Social Media For Automatic Depression Detection
by: Zogan, Hamad, et al.
Published: (2024)

Hybrid Approach for Driver Behavior Analysis with Machine Learning, Feature Optimization, and Explainable AI
by: Shuvo, Mehedi Hasan, et al.
Published: (2026)

A Dual-Agent Adversarial Framework for Robust Generalization in Deep Reinforcement Learning
by: Xie, Zhengpeng, et al.
Published: (2025)

Attention-Driven Framework for Non-Rigid Medical Image Registration
by: Iqbal, Muhammad Zafar, et al.
Published: (2026)

ScalingNoise: Scaling Inference-Time Search for Generating Infinite Videos
by: Yang, Haolin, et al.
Published: (2025)

HIPPD: Brain-Inspired Hierarchical Information Processing for Personality Detection
by: Chen, Guanming, et al.
Published: (2025)

The Benefits and Risks of Transductive Approaches for AI Fairness
by: Razzak, Muhammed, et al.
Published: (2024)

Rolling Ball Optimizer: Learning by ironing out loss landscape wrinkles
by: Belgoumri, Mohammed Djameleddine, et al.
Published: (2025)

A Review on Machine Learning Approaches for the Prediction of Glucose Levels and Hypogylcemia
by: Cinar, Beyza, et al.
Published: (2026)

Evaluation of Missing Data Analytical Techniques in Longitudinal Research: Traditional and Machine Learning Approaches
by: Tang, Dandan, et al.
Published: (2024)

An Explainable Machine Learning Approach to Traffic Accident Fatality Prediction
by: Rifat, Md. Asif Khan, et al.
Published: (2024)

Interpretable Machine Learning for Antepartum Prediction of Pregnancy-Associated Thrombotic Microangiopathy Using Routine Longitudinal Laboratory Data
by: Sun, Chuanchuan, et al.
Published: (2026)

Benchmarking Open-Source PPG Foundation Models for Biological Age Prediction
by: Brag, N.
Published: (2026)

CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection
by: Zhuang, Xinlin, et al.
Published: (2025)

TuLaBM: Tumor-Biased Latent Bridge Matching for Contrast-Enhanced MRI Synthesis
by: Rege, Atharva, et al.
Published: (2026)

Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection
by: Shen, Lingzhi, et al.
Published: (2025)

EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling
by: Shen, Lingzhi, et al.
Published: (2025)

Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality
by: Shumilov, Arseniy, et al.
Published: (2024)

HeSRN: Representation Learning On Heterogeneous Graphs via Slot-Aware Retentive Network
by: Lu, Yifan, et al.
Published: (2025)

Benchmarking Scientific Machine Learning Models for Air Quality Data
by: Masud, Khawja Imran, et al.
Published: (2026)

scAGC: Learning Adaptive Cell Graphs with Contrastive Guidance for Single-Cell Clustering
by: Li, Huifa, et al.
Published: (2025)

Predicting the Geothermal Gradient in Colombia: a Machine Learning Approach
by: Mejía-Fragoso, Juan Camilo, et al.
Published: (2024)

Clinically Interpretable Mortality Prediction for ICU Patients with Diabetes and Atrial Fibrillation: A Machine Learning Approach
by: Sun, Li, et al.
Published: (2025)

Diabetes Prediction and Management Using Machine Learning Approaches
by: Alzboon, Mowafaq Salem, et al.
Published: (2025)

Identifying Drivers of Predictive Aleatoric Uncertainty
by: Iversen, Pascal, et al.
Published: (2023)

MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models
by: Xie, Jin, et al.
Published: (2024)

VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMs
by: Kolli, Govinda, et al.
Published: (2026)

Advancements In Heart Disease Prediction: A Machine Learning Approach For Early Detection And Risk Assessment
by: Ingole, Balaji Shesharao, et al.
Published: (2024)

Bilevel Models for Adversarial Learning and A Case Study
by: Zheng, Yutong, et al.
Published: (2025)

A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings
by: Lin, Xiachong, et al.
Published: (2024)

BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics
by: Prabowo, Arian, et al.
Published: (2024)

Advancing Digital Precision Medicine for Chronic Fatigue Syndrome through Longitudinal Large-Scale Multi-Modal Biological Omics Modeling with Machine Learning and Artificial Intelligence
by: Xiong, Ruoyun
Published: (2025)

Free-Space Optical Channel Turbulence Prediction: A Machine Learning Approach
by: Islam, Md Zobaer, et al.
Published: (2024)

CALM: Culturally Self-Aware Language Models
by: Shen, Lingzhi, et al.
Published: (2026)