Researchers led by Chilean scientist Diego Oyarzún, from the University of Edinburgh in the United Kingdom, have discovered three medicinal herbs that could stop the aging by eliminating senescent cells, which are linked to degenerative diseases and vision and mobility problems.
This innovative method with herbs Medicinales has been published in the prestigious scientific journal Nature under the title “Discovery of senolytics through machine learning” and has captured the attention of international media because it uses Artificial Intelligence algorithms instead of longer, more expensive and risky clinical studies.
The research is based on the use of three chemical substances present in herbs traditional medicines: ginkgetin, periplocin and oleandrin. These substances can eliminate the senescent cells responsible for diseases and the deterioration of vision and mobility.
To arrive at this discovery, the researchers trained AI algorithms on existing chemical compounds, allowing the software to detect common patterns in those compounds. Subsequently, they evaluated more than 4,000 chemicals and found that three of them, ginkgetin, periplocin and oleandrin, obtained from herbswere effective in eliminating senescent cells.
Cellular senescence is a stress response that is related to the aging and various diseases such as cancer, type 2 diabetes, osteoarthritis, and viral infections. Until now, few senolytics have been known due to the lack of well-characterized molecular targets. However, by using machine learning algorithms trained on published data, the researchers were able to discover three promising senolytics.
