Title of article :
Integrating Psychiatry and Medical Biotechnology as a Way to Achieve Scientific, Precision, and Personalized Psychiatry
Author/Authors :
Shamabadi, A Psychiatric Research Center - Roozbeh Psychiatric Hospital - Tehran University of Medical Sciences - Tehran, Iran , Hasanzadeh, Alireza Psychiatric Research Center - Roozbeh Psychiatric Hospital - Tehran University of Medical Sciences - Tehran, Iran , Akhondzadeh, Shahin Psychiatric Research Center - Roozbeh Psychiatric Hospital - Tehran University of Medical Sciences - Tehran, Iran
Abstract :
Besides concerns about the increasing prevalence of psychiatric disorders and the significant
burdens and costs, there are concerns about its validity. The dilemma of validity
went so far that studies described the diagnoses in psychiatry as scientifically
worthless. We suggest integrating psychiatry and medical biotechnology and using biotechnological
products in psychiatric aspects help psychiatry become more precise,
strengthen its position among other sciences, and increase its scientific credibility by
giving examples. For this matter, we need different inputs to choose between the vast
outputs. The most common inputs are clinical symptoms, cognitive function, individual
and environmental risk factors, molecular markers, genetic markers, neuroimaging
signs, and big data. Some molecular markers have been shown to have a relationship
with psychiatric disorders such as Interleukin-6 (IL-6) and Tumor Necrosis Factor-α
(TNF-α). Genetic studies might evolve the most accurate part of precision psychiatry.
Currently, and through the developments in technology, genome-wide association
studies have become available. In neuroimaging signs, psychiatric disorders are associated
with generalized rather than focal brain network dysfunction, and functional
magnetic resonance imaging could be performed to study them. It would exhibit different
aberrancies in various psychiatric disorders. In big data, the constitution of predictive
models and movement toward precision psychiatry can be led by using artificial
intelligence and machine learning.
Keywords :
Technology , Behavioral sciences , Cytokines , Integrative medicine , Knowledge
Journal title :
AJMB Avicenna Journal of Medical Biotechnology