Researchers curated senescence-associated secretory proteins and trained a semi-supervised deep-learning model on UK Biobank Pharma Proteomics Project data to produce a single score, then tested it in an independent randomised trial cohort. The score was an independent predictor of all-cause mortality and of incident dementia, COPD, myocardial infarction and stroke, and its trajectory changed over 18 months under a multimodal exercise intervention.
Why it is interesting: Takes a senescence measure from plasma biology to a population cohort and then to an intervention trial as a read-out.