Aging, Genetics and AI, 1 million+ blood tests

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DaleBru
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Aging, Genetics and AI, 1 million+ blood tests

Postby DaleBru » Fri Jul 05, 2019 9:07 am

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 [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.

BrianR
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Re: Aging, Genetics and AI, 1 million+ blood tests

Postby BrianR » Fri Jul 05, 2019 9:21 am

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.

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.


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