Bichat–Claude Bernard Hospital

MyndBlue Announces the Publication in Scientific Reports of the Discovery of a Predictive Biosignature in Major Depressive Disorder, Derived From Physiological Measurements of Outpatients Using Machine Learning

Retrieved on: 
Tuesday, April 25, 2023
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The article, published on April 25th under the title "Predictive biosignature of major depressive disorder derived from physiological measurements of outpatients using machine learning" in open access on the Scientific Reports website, is the first scientific publication addressing this discovery in a peer-reviewed journal.

Key Points: 
  • The article, published on April 25th under the title "Predictive biosignature of major depressive disorder derived from physiological measurements of outpatients using machine learning" in open access on the Scientific Reports website, is the first scientific publication addressing this discovery in a peer-reviewed journal.
  • When something difficult has happened, sad feelings and bad moods are a normal part of life.
  • The depressed patient may also experience anxiety, loss of appetite, insomnia or hypersomnia, low self-esteem and recurrent thoughts of death.
  • In order to address this issue, MyndBlue has sought to develop a machine learning algorithm that identifies a biosignature to provide a clinical score of the depressive symptoms using individual physiological measurements.