Welcome to Aging.aiBETA
How old by a basic blood test!
This is a deep-learned predictor of your age made with a deep neural network trained on hundreds of thousands anonymized human blood tests. Enter your data below and Aging.ai will guess your age and… gender (no pun intended if we miss). Anonymized statistical data was processed in collaboration with the largest independent diagnostics provider in Eastern Europe, Invitro. No patient records were used in the study.
First choose the sample metric:
* This should be in your clinical biochemistry blood test results
** Required parameter for minimal prediction accuracy of 70% within 10 year frame
*** We can not show you reference values before knowing your age apriori, so this is only a reference metric
Click on a marker to know more about what it is. Knowing your blood biochemistry markers is the new ABCs. Everyone should know it.
** Required parameter for minimal prediction accuracy of 70% within 10 year frame
*** We can not show you reference values before knowing your age apriori, so this is only a reference metric
Click on a marker to know more about what it is. Knowing your blood biochemistry markers is the new ABCs. Everyone should know it.
Our team is expert in human gene expression data analysis, biomarker development and drug discovery
for aging research, so this predictor is a small by-product of our work. But if we see that people
like it, we will develop a biomarker, where you will be able to log in and track the changes in
predicted age while testing some of the interventions like diet, exercise or supplements to see
if any of these “make you younger”.
If you decide to use this system, all data submitted will be
used for research purposes and will be used to help train the predictor, so it will not be possible
for us to delete it. Please do not submit anything if you don’t want your data to be used freely.
Since it is basic blood biochemistry and we don’t know who you are, we don’t see a reason not to
use it. You are probably much more exposed if you are posting pictures on social networks.
Our team’s mission is to extend human longevity, do it in humans with a goal of producing 10
billion quality-adjusted life years (QALY) to Facebook users by 2020 and develop tools for anyone
to engage in aging research. Please let us know if we guessed right and share your results on
Facebook.
After extensive testing we may publish this multi-DNN system in a peer-reviewed journal as
we usually do. In the meantime, please check out some of our publications.
Please see our press release at EurekAlert
Here is a 5-minute video if you would like to learn more about Insilico Medicine:
In collaboration with:
DNNs were trained on NVIDIA GPU
We thank NVIDIA for providing valuable GPU equipment for deep learning to Insilico Medicine.
