Back to search

Article

LongevityBench: Are SotA LLMs ready for aging research?

2026-01-13

Abstract excerpt

Aging is a core biological process observed in most species and tissues, which is studied with a vast array of technologies. We argue that the abilities of AI systems to emulate aging and to accurately interpret biodata in its context are the key criteria to judge an LLM’s utility in biomedical research. Here, we present LongevityBench — a collection of tasks designed to assess whether foundation models grasp the...

Topics

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

Identifiers and source

Literature Corpus work
2c6d866b-d5af-5f7b-84ad-abd2c020aca6
DOI
10.64898/2026.01.12.698650
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
LongevityBench: Are SotA LLMs ready for aging research?DOI 10.64898/2026.01.12.698650
The End of Aging Clocks: Training Foundation Models to Reason in Aging and LongevitySemantic proximity
Guided multi-agent AI invents highly accurate, uncertainty-aware transcriptomic aging clocksSemantic proximity
PersonaAI: An Interactive Agentic-AI Framework for Autonomous Hypothesis Generation and Validation in AgingSemantic proximity
An Explainable AI Framework for Identifying Universal Aging Signatures in Cell EmbeddingsSemantic proximity
Temporal AI model predicts drivers of cell state trajectories across human agingSemantic proximity
Precious3GPT: Multimodal Multi-Species Multi-Omics Multi-Tissue Transformer for Aging Research and Drug DiscoverySemantic proximity
Next Generation Aging Clock: A Novel Approach to Decoding Human Aging Through Over 3000 Cellular PathwaysSemantic proximity
Transcriptomic age prediction using mixture-of-experts models reveals tissue-specific aging signatures in large-scale human RNA-sequencing dataSemantic proximity
A robust computational framework for methylation age and disease-risk prediction based on pairwise learning.Semantic proximity
An explainable AI framework for interpretable biological ageSemantic proximity
Autonomous AI Agents Discover Aging Interventions from Millions of Molecular ProfilesSemantic proximity
Pasta, a versatile transcriptomic clock, maps the chemical and genetic determinants of aging and rejuvenationSemantic proximity
Select a neighboring publication to make it the new centre.