Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …

Background The impact of precision psychiatry for clinical practice has not been
systematically appraised. This study aims to provide a comprehensive review of validated …

The rapid increase in both the quantity and complexity of data that are being generated daily
in the field of environmental science and engineering (ESE) demands accompanied …

Reinforcement learning and decision-making (RLDM) provide a quantitative framework and
computational theories with which we can disentangle psychiatric conditions into the basic …

Long-term use of drugs can sometimes result in brain damage that greatly affects a person's
psychology and sometimes become indecent. This paper examines psychological disorders …

This study aims to provide a systematic review of the applications of machine learning
methods in addiction research. In this study, multiple searches on MEDLINE, Embase and …

Objective: Sexual and gender minority (SGM) individuals experience elevated rates of
minority stress, which has been linked to higher rates of nicotine and substance use …

Background New technologies can profoundly change the way we understand psychiatric
pathologies and addictive disorders. New concepts are emerging with the development of …

Impulse control is becoming a critical survival skill for the twenty-first century. Impulsivity is
implicated in virtually all externalizing behaviours and disorders, and figures prominently in …

Background Recent animal and human studies reveal distinct cognitive and neurobiological
differences between opiate and stimulant addictions; however, our understanding of the …