Data Mining Reveals Human Aging Clocks in Blood Proteins
Human plasma protein levels change with age and can act as predictive aging clock
The ticking clock
Even if you’re generally healthy, once you reach a certain age, slowly but surely you’ll begin to notice the deterioration of various bodily functions and abilities.
No matter how hard we try, eventually we all fall to the inexorable influence of father time. Joints begin to complain, aches and pains become a part of daily life, health markers during our routine blood checks start to act wonky…
One by one — or all together — our body’s systems decide it’s been enough.
Aging affects all parts of the body, it is a systemic process, a multi-factorial issue. Multi-factorial also implies that a lot of data has to be gathered in orde to makes sense of the mechanistic details of what is actually happening.
Machine learning and data mining are particularly suited to deal with such issues. In fact, in a previous post, we looked at implementing machine learning in aging research. In that post, one of the possibilities we discussed involved the identification of biomarkers, certain ‘signals’ that could tell us our chronological age, as well as our potential lifespan.
