We still know very little about human aging.
For example, how is my liver aging? How is my brain aging? I have no idea.
I am drawn to Prof. Michael Snyder's work on extreme measurement of his body. He has collected petabytes of data about his body physiology and genetics. This kind of data will help us measure aging-related interventions with more detail and personalization.
Prof. Snyder is also involved in the ENCODE project, which has the goal of "developing a comprehensive map of functional elements in the human genome" (Snyder et al, Nature, 2020). Many other large-scale (and small-scale) projects like these are in flight. Taken together, all this new data will give us a better systems-level understanding of biology and aging.
If we can know which genes are likely to contribute to aging, personalized for each individual's unique physiology and genes, then we can change our genes to extend our lives. In fact, we may already be doing this. Recently a volunteer in New Zealand had a cholesterol gene edited with CRISPR to a lower-risk version ("Edits to a cholesterol gene could stop the biggest killer on earth", MIT Technology Review, July 2022). This could be life-extending gene editing, here and now.
We are in the early days of systems biology. We are in the very early days of curing aging. Exponential curves can move quickly. We might be surprised what we can do in 20 years.