AI-driven Discovery of Potential Antiaging Molecules – The Case of Senolytics

AI discovers potential anti-aging molecules

This study shows that AI is a powerful tool for identifying new drug candidates, especially at the early stages of drug development and in diseases with complex biology.

A machine-learning model was trained to recognize the key characteristics of chemicals that have senolytic properties. Recently, three chemicals were found to be able remove senescent cell without harming healthy cells.

Credit: Mplanine, CC BY-SA 4.0 via Wikimedia Commons. Credit: Mplanine CC BY SA 4.0 via Wikimedia.

These cells are still metabolically active, but have stopped dividing. These cells multiply with age, and they secrete substances that cause chronic inflammation and can affect nearby cells. This leads to aging, as well as age-related illnesses like Alzheimer’s disease, heart disease, diabetes and cancer. The key focus in aging research is on their elimination or reprogramming.

Source:
https://www.futuretimeline.net/blog/2023/06/21-ai-aging-technology.htm

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