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Artificial intelligence and multiomics for longevity across species

Chao Nie, Zhiyuan Shi, Zijun Song, Fudi Wang, Junxia Min

Element · 2026 · ▲ 1 citations

Abstract

Natural selection has, over millions of years, curated a diverse portfolio of species with exceptional lifespans and pron o u n ce d re s i st a n ce to a ge -re l a te d diseases.Moving beyond traditional models to incorporate these "non-model" organisms into our research arsenal is no longer optional but essential for a holistic understanding of longevity.Rather than viewing these species in isolated, descriptive contexts, the Longevity Intelligence framework treats them as fundamental data generators -naturally occurring experiments in delayed aging that provide the critical input data required for advanced computational modeling.The bowhead whale: As the longest-lived mammal on Earth, with lifespans reliably estimated to exceed 200 years, the bowhead whale stands as a paramount example of negligible senescence(definition) in nature.This species exhibits a remarkable, near-complete resistance to cancer and other common age-related pathologies.Genomic comparative studies have pinpointed specific genes under significant positive selection in the bowhead whale, which are core components of DNA repair machinery, cell cycle regulation, and tu-Artificial intelligence and multiomics for longevity across species

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Provenance

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OpenAlex
DOI
10.20517/element.2026.01
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2026-10-13 MST

Cite this

APA
Nie, C., Shi, Z., Song, Z., Wang, F., &amp; Min, J. (2026). Artificial intelligence and multiomics for longevity across species. <em>Element</em>. https://doi.org/10.20517/element.2026.01
Vancouver
Nie C, Shi Z, Song Z, Wang F, Min J. Artificial intelligence and multiomics for longevity across species. Element. 2026. doi:10.20517/element.2026.01.
BibTeX
@article{chao2026Artifi, title = {Artificial intelligence and multiomics for longevity across species}, author = {Chao Nie and Zhiyuan Shi and Zijun Song and Fudi Wang and Junxia Min}, journal = {Element}, year = {2026}, doi = {10.20517/element.2026.01}, }

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