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Building an AI to predict human age from a blood sample

colekillian.com

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Re: Building an AI to predict human age from a blood sample

#6
post #5

>Back to the computer science: 470,000+ features sounds nice at first, but is a recipe for overfitting when we only have 700 samples at our disposal. Proceeds to use (1024^2 * 2 + 1024) parameters in the neural network.

Just use dropout, dropout prevents overfitting!

/s

/s for this post, I mean. I have had this very suggestion made to me non-sarcastically under similar circumstances.

Re: Building an AI to predict human age from a blood sample

#7

It occurs to me that antibodies for diseases would make an interesting approach to age estimation. In the 1918 flu older people were spared. This is presumed to be due to the fact that they had an immunity due to an exposure in their own youths.

Interesting, but strewn with potential challenges.

Over time, cell populations with BCR/TCR that recognize and bind such antigens will cease proliferation. Moreover, some cell populations will be localized to certain tissues and not in circulation.

Re: Building an AI to predict human age from a blood sample

#8
Far-reaching prediction: they're going to do facial prediction from blood samples as well. Law enforcement really wants to generate sketches from unknown DNA found at crime scenes.

That is, of course, in addition to the all-encompassing family trees we're providing them with 23andme.

Re: Building an AI to predict human age from a blood sample

#9
post #7

It occurs to me that antibodies for diseases would make an interesting approach to age estimation. In the 1918 flu older people were spared. This is presumed to be due to the fact that they had an immunity due to an exposure in their own youths.

Interesting, but strewn with potential challenges. Over time, cell populations with BCR/TCR that recognize and bind such antigens will cease proliferation. Moreover, some cell populations will be localized to certain tissues and not in circulation.

Yeah, and it would be impossible to determine the age with a resolution better than a decade (at best).

Re: Building an AI to predict human age from a blood sample

#10
post #5

>Back to the computer science: 470,000+ features sounds nice at first, but is a recipe for overfitting when we only have 700 samples at our disposal. Proceeds to use (1024^2 * 2 + 1024) parameters in the neural network.

I know this is a joke, but the theory of generalization in NNs is rapidly advancing and it's not quite that simplistic: https://arxiv.org/abs/2003.02139
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