Article

A Blood-Based Biological Age Model Derived from Routine Laboratory Biomarkers in the Singapore Longitudinal Ageing Study

2026-05-06

Abstract excerpt

Risk assessment in clinical practice depends largely on clinical phenotypes, including age, sex, body mass index, blood pressure and comorbidities. Routine laboratory data remain underutilised despite their accessibility and low cost. Using data from the Singapore Longitudinal Ageing Studies (n = 5,409; follow-up median 11.4 years), we developed a mortality prediction model based on routine laboratory biomarkers....

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b0f03491-039a-5f3e-9af4-4079c93cc236
DOI: 10.64898/2026.05.05.26352428

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Blood-Based Biological Age Model Derived from Routine Laboratory Biomarkers in the Singapore Longitudinal Ageing StudyDOI 10.64898/2026.05.05.26352428Read

Biological Age Estimation Using Circulating Blood BiomarkersSemantic proximity Read

Association of biological age with health outcomes and its modifiable factorsSemantic proximity Read

Making Biological Ageing Clocks PersonalSemantic proximity Read

A Biomarker-based Biological Age in UK Biobank: Composition and Prediction of Mortality and Hospital AdmissionsSemantic proximity Read

Blood Omics Models for System-Specific Mortality Risk EstimationSemantic proximity Read

A catalogue of omics biological ageing clocks reveals substantial commonality and associations with disease riskSemantic proximity Read

Multimodal Ageing Biomarkers and Plasma Proteomic Signatures Associated with All-Cause MortalitySemantic proximity Read

Exploring domains, clinical implications and environmental associations of a deep learning marker of biological ageingSemantic proximity Read

Effect of Modifiable Lifestyle Factors on Biological AgingSemantic proximity Read

Predicting physiological aging rates from a range of quantitative traits using machine learning.Semantic proximity Read

A Prospective Cohort Study to Develop Multi-Biomarkers Panel to Define Biological Ageing in Five Different Cohorts from Newborn to Oldest Adult: A Study ProtocolSemantic proximity Read

Proteomic aging clock predicts mortality and risk of common age-related diseases in diverse populationsSemantic proximity Read