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Review Papers | Psychiatry | Volume 15 Issue 3, March 2026 | Pages: 879 - 887 | India
Rethinking Mental Health Diagnosis Through Emerging Biomarkers and Intelligent Technologies: A Review
Abstract: Psychiatric disorders, including depression, bipolar disorder, schizophrenia, anxiety, PTSD, eating disorders, and disruptive behaviour disorders, are a major global health burden that reduces life expectancy, impairs quality of life, and increases healthcare costs. Diagnosing mental health conditions can be really tough because symptoms often overlap or get complicated by other conditions. That?s why biomarkers are becoming very important; they are like measurable signs that can help doctors figure out the main problem. Researchers are exploring multiple biomarker domains: molecular, neuroimaging, biochemical and even digital data. For instance, some biomarkers can show how stress is affecting someone?s mental health, or indicate if someone has a specific condition like depression or schizophrenia. While no biomarker is yet clinically validated. With the help of AI and advanced technology, researchers are focusing on combining these biomarkers to create personalised treatment plans. It is really a promising area of research that could lead to more accurate diagnoses and effective treatment.
Keywords: Psychiatric disorder, Biomarkers, Neuroimaging, Omic technologies, Artificial intelligence, Precision Psychiatry
How to Cite?: Punita Manhas, Amarpreet Kaur, Shallu, "Rethinking Mental Health Diagnosis Through Emerging Biomarkers and Intelligent Technologies: A Review", Volume 15 Issue 3, March 2026, International Journal of Science and Research (IJSR), Pages: 879-887, https://www.ijsr.net/getabstract.php?paperid=SR26313143431, DOI: https://dx.dx.doi.org/10.21275/SR26313143431