As much as we’d like to shush about it, the fact remains that mental health is an imperative component of one’s overall well-being that encompasses a wide range of emotional, psychological, and social factors. One key area of research in mental health sciences is the study of neurobiology, which focuses on the biological and physiological processes that, when gone awry, are responsible for various mental health conditions.
A new study finds that machine learning models can identify behavioural cues in zebrafish to correctly predict when the fish is anxious.