Aging is a complex process that affects every part of our bodies. Because it involves so many different biological systems, finding specific ways to slow it down has been difficult. Researchers are now looking at how advanced technology can simplify this search.
By using multi-omics technologies, scientists can screen for biomarkers and better understand the underlying mechanisms of aging. When they combine these tools with Artificial Intelligence (AI), they can predict new targets, perform virtual screenings, and design trials more effectively. This approach helps move toward personalized treatment strategies rather than one size fits all solutions.
It is important to note that this research focuses on theoretical frameworks and potential pathways. The study does not provide results from clinical trials or data on specific drug success. Additionally, the field still faces hurdles like ethical concerns and the need for better data standards.
