09/13/2026
An experimental drug designed by artificial intelligence to treat a severe lung disease may also be doing something far more unexpected showing early signals of reversing biological aging.
The compound, called rentosertib, was developed by Insilico Medicine using generative AI that not only identified a key molecular target, TNIK, but also designed the drug itself as a precision inhibitor.
In a Phase 2a clinical trial involving patients with idiopathic pulmonary fibrosis a condition marked by progressive lung scarring researchers conducted a deeper analysis of blood samples from 42 participants using six independent proteomic aging clocks.
These advanced computational tools, created by separate research teams from institutions such as Harvard, Oxford, and Peking University, estimate biological age by analyzing patterns of proteins circulating in the blood.
Remarkably, all six clocks pointed in the same direction: patients who received rentosertib showed a measurable drop in their predicted biological age compared to those on placebo. The effect appeared strongest around the fourth week, with average reductions ranging from about 2.7 to 3.5 years, and some readings suggesting decreases of up to six years.
At the same time, patients treated with the drug experienced improvements in lung function, measured by forced vital capacity, while those in the placebo group continued to decline.
However, researchers caution that these results come from a secondary analysis of a trial focused on lung disease not aging itself. It remains unclear whether the apparent “rejuvenation” reflects a direct anti-aging mechanism or simply the physiological benefits of treating the underlying condition.
To answer that question, larger and longer studies including trials in people without pulmonary fibrosis will be necessary. For now, rentosertib has moved into Phase 3 trials for its primary purpose, but its potential impact on aging is an intriguing possibility that science is only beginning to explore.