PRECISION PSYCHIATRY: CHALLENGES AND STRATEGIES IN IMPLEMENTING PREDICTIVE MODELS IN MENTAL HEALTH CARE

• DOI: https://doi.org/10.22533/at.ed.15951725110412

• Palavras-chave: Precision medicine, Biomarkers, Phenotyping, Artificial Intelligence.

• Keywords: Precision medicine, Biomarkers, Phenotyping, Artificial Intelligence.

• Abstract:

  Objective: To understand the impact of precision medicine on the management of psychiatric disorders, with the aim of improving early diagnosis through an in-depth analysis of the patient, resulting in a more assertive and favorable prognosis. Methodology: This is a bibliographic review conducted on the electronic database PUBMED - Medline (Medical Literature Analysis and Retrieval System), using a specific search question. In the initial search, 105 articles were identified, which were screened based on inclusion and exclusion criteria, considering publications in the English language, in the period from 2020 to 2025 and aligned with the thematic approach. After this process, 20 articles were selected for the study. Discussion: The uniqueness and complexity of mental disorders pose challenges for accurate diagnoses, since each individual has unique and unpredictable characteristics. However, precision medicine has emerged as a promising tool in psychiatry, enabling more objective diagnoses and personalized treatments. The use of genetic biomarkers, through phenotyping, would allow for the early detection of predispositions, enabling more targeted and effective therapeutic interventions, minimizing the influence of individual variables. In addition, this approach would reduce psychiatry's reliance on non-specific symptoms and syndromic clinical criteria, making practice more based on concrete evidence. Final considerations: In view of the findings, there is a need for further studies and investment in precision medicine, given its high capacity to transform mental health care, providing more effective, individualized treatments based on objective biomarkers.