Hi @jordangiali, @NickOttens thanks for thinking of me.
While some biological data types like “omics” can be quite expensive and difficult to obtain, other data types are more affordable. For example, our research group works on nin-invasive imaging ageing biomarkers (PhotoAgeClok algorithms - published by our group https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6286834/) and biomarkers of skin health.
Skin diseases rate might be underestimated since not all affected people address a doctor (https://doi.org/10.1111/jdv.15494 ). At the same time, they significantly affect the quality of life, may cause social distancing, and become life-threatening over time (Actinic Keratosis lesions may evolve in malignant skin lesions).
Extracting skin ageing and skin health biomarkers from images technology-wise is possible. What is more important, one can easily track progress over time in response to anti-ageing interventions, lifestyle changes. The limitation is image quality and validation in longitudinal studies.