Ran across this article today: https://www.genengnews.com/news/ai-based-predictors-of-aging-and-longevity-are-on-the-rise/?utm_medium=newsletter&utm_source=GEN%20Daily%20News%20Highlights&utm_content=01&utm_campaign=GEN%20Daily%20News%20Highlights_20190705&oly_enc_id=5578I7128345B4Z
Which links to this article: https://www.cell.com/trends/pharmacological-sciences/fulltext/S0165-6147(19)30114-2?_ga=2.254192651.228276886.1562338744-1800214381.1558710787
I'm especially interested in this quote from the article: "Using one of the broadest panels of routine blood tests performed in multiple countries in a standardized way, the first aging clock study utilizing deep neural networks (DNNs) (Box 1) was published by the laboratory of Zhavoronkov in 2016 . The scientists utilized over one million clinical blood tests (blood biochemistry and cell count) to generate from routine screening tests a dataset of over 60 000 reasonably healthy subjects annotated with sex and age."
I hadn't realized there exist such data. I wonder how one finds it. And I wonder if there is apoe4 information in the dataset.