Idiopathic Pulmonary Fibrosis (IPF) is a progressive lung disease that primarily affects people over the age of 60. It causes scarring in the lung tissue, which gradually reduces lung capacity and makes breathing difficult. Despite years of research, the exact causes of IPF remain largely unknown, and current treatments mainly aim to slow its progression rather than reverse or cure the disease.

Because IPF tends to develop later in life, researchers have long suspected a connection with biological aging. This is the focus of a recent study by scientists from Insilico Medicine. Their research, titled “AI-driven toolset for IPF and aging research associates lung fibrosis with accelerated aging,” was published recently in Aging-US, Volume 17, Issue 8.

Full blog - https://aging-us.org/2025/09/ai-tools-reveal-how-ipf-and-aging-are-connected/

Paper DOI - https://doi.org/10.18632/aging.206295

Corresponding author - Alex Zhavoronkov - alex@insilico.com

Abstract video - https://www.youtube.com/watch?v=24lX2lHbt7o

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Keywords - aging, IPF, generative AI, transformer, proteomics

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AI Tools Reveal How IPF and Aging Are Connected

Aging-US is dedicated to advancing our understanding of the biological mechanisms that drive aging and the development of age-related diseases. Our mission is to serve as a platform for high-quality research that uncovers the cellular, molecular, and systemic processes underlying aging, and translates these insights into strategies to extend healthspan and delay the onset of chronic disease.

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AI Tools Reveal How IPF and Aging Are Connected

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