Ran across this article today: https://www.genengnews.com/news/ai-base ... 7128345B4Z
Which links to this article: https://www.cell.com/trends/pharmacolog ... 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 [10]. 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.
Aging, Genetics and AI, 1 million+ blood tests
Re: Aging, Genetics and AI, 1 million+ blood tests
You might want to send email to Alex Zhavoronkov: alex@insilico.com and ask if the dataset is publicly available or if APOE variant is tracked in the data.DaleBru wrote: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.