Article

The End of Aging Clocks: Training Foundation Models to Reason in Aging and Longevity

2026-03-30

Abstract excerpt

The aging clock paradigm has yielded dozens of specialist models that can estimate chronological age or mortality from virtually any biodata type. Yet each such model operates within a fixed modality, relies on a predetermined feature set, and produces limited biological interpretation. Here, we report Longevity-LLM v0.1, a Qwen3-14B model fine-tuned through supervised and reinforcement learning regimes on DNA met...

Topics

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

Identifiers and source

Literature Corpus work: 38a0a7f4-ca71-50c2-9e61-bd8bf16bdd8e
DOI: 10.64898/2026.03.28.714980

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

The End of Aging Clocks: Training Foundation Models to Reason in Aging and LongevityDOI 10.64898/2026.03.28.714980Read

LongevityBench: Are SotA LLMs ready for aging research?Semantic proximity Read

Guided multi-agent AI invents highly accurate, uncertainty-aware transcriptomic aging clocksSemantic proximity Read

A robust computational framework for methylation age and disease-risk prediction based on pairwise learning.Semantic proximity Read

Pre-Transformer Models for Longevity Science and Deep Ageing Clocks: An Empirical AnalysisSemantic proximity Read

AltumAge: A Pan-Tissue DNA-Methylation Epigenetic Clock Based on Deep LearningSemantic proximity Read

<tt>pyaging</tt> : a Python-based compendium of GPU-optimized aging clocksSemantic proximity Read

Pasta, a versatile transcriptomic clock, maps the chemical and genetic determinants of aging and rejuvenationSemantic proximity Read

Long-Read epigenetic clocks identify improved brain aging predictionsSemantic proximity Read

EpInflammAge: Epigenetic-Inflammatory Clock for Disease-Associated Biological Aging Based on Deep LearningSemantic proximity Read

SkeletAge: Transcriptomics-based Aging Clock Identifies 26 New Targets in Skeletal Muscle AgingSemantic proximity Read

Transcriptomic age prediction using mixture-of-experts models reveals tissue-specific aging signatures in large-scale human RNA-sequencing dataSemantic proximity Read

Variational autoencoders to predict DNA-methylation age and provide biological insights in age-related health and diseaseSemantic proximity Read