Research Paper|Volume 14, Issue 12|pp 4935—4958

Optimizing future well-being with artificial intelligence: self-organizing maps (SOMs) for the identification of islands of emotional stability

Fedor Galkin¹, Kirill Kochetov¹, Michelle Keller¹, Alex Zhavoronkov^1,^2,³, Nancy Etcoff⁴

¹Deep Longevity Limited, Hong Kong
²Insilico Medicine, Hong Kong
³Buck Institute for Research on Aging, Novato, CA 94945, USA
⁴Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA

Received: February 5, 2022Accepted: April 25, 2022Published: June 20, 2022

https://doi.org/10.18632/aging.204061

Copyright: © 2022 Galkin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

In this article, we present a deep learning model of human psychology that can predict one’s current age and future well-being. We used the model to demonstrate that one’s baseline well-being is not the determining factor of future well-being, as posited by hedonic treadmill theory. Further, we have created a 2D map of human psychotypes and identified the regions that are most vulnerable to depression. This map may be used to provide personalized recommendations for maximizing one’s future well-being.