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

Journal: Aging
Published Date:

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.

Authors

  • Fedor Galkin
    InSilico Medicine, Science Park, Hong Kong; Integrative Genomics of Ageing Group, Institute of Ageing and Chronic Disease, University of Liverpool, UK.
  • Kirill Kochetov
    Pharmaceutical Artificial Intelligence Department, Insilico Medicine, Inc., 9601 Medical Center Dr, Suite 127, JHU, Rockville, MD, 20850, USA.
  • Michelle Keller
    Deep Longevity Limited, Hong Kong.
  • Alex Zhavoronkov
    Pharmaceutical Artificial Intelligence Department, Insilico Medicine, Inc., Emerging Technology Centers, Johns Hopkins University at Eastern, Baltimore, Maryland, USA.
  • Nancy Etcoff
    Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.