Aging.AI specifications


Unique identifier OMICS_13957
Name Aging.AI
Interface Web user interface
Restrictions to use None
Input data Blood tests data
Output data Predicted age and sex
Computer skills Basic
Version 2.0
Stability Stable
Maintained Yes


  • person_outline Alex Zhavoronkov <>

Publication for Aging.AI

Aging.AI institution(s)
Pharma.AI Department, Insilico Medicine, Inc, Baltimore, MD, USA; Computer Technologies Lab, ITMO University, St. Petersburg, Russia; The Biogerontology Research Foundation, Oxford, UK; School of Systems Biology, George Mason University (GMU), Fairfax, VA, USA; Invitro Laboratory, Ltd, Moscow, Russia; Department of Biomedical Engineering, Boston University, Boston, MA, USA; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
Aging.AI funding source(s)
This work was financially supported by the Government of Russian Federation, Grant 074-U01 and by a research grant from the Life Extension Foundation 2016-LEF- AA-INSIL.

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