Health Technology/clinical-trials

Major International Study Develops AI-Powered Biomarker Tool to Personalise Depression Treatment — What Australian Clinicians Need to Know

247 Health News Editorial

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22 May 2026

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4 min read

·clinical-trials

The OPADE study is developing an AI-powered tool using multi-omics analysis to predict antidepressant response in major depression. This precision medicine approach could revolutionise treatment selection and reduce the trial-and-error approach currently used in depression care.

Originally reported by ClinicalTrials.gov

References

  1. 1.Fasano, A. (2024). Optimize and Predict Antidepressant Efficacy for Patient With Major Depressive Disorders Using Multi-omics Analysis and AI-predictive Tool. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT06550037
  2. 2.Rush, A. J., Trivedi, M. H., Wisniewski, S. R., Nierenberg, A. A., Stewart, J. W., Warden, D., ... & Fava, M. (2006). Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report. American Journal of Psychiatry, 163(11), 1905-1917. https://doi.org/10.1176/ajp.2006.163.11.1905
  3. 3.Cryan, J. F., O'Riordan, K. J., Cowan, C. S., Sandhu, K. V., Bastiaanssen, T. F., Boehme, M., ... & Dinan, T. G. (2019). The microbiota-gut-brain axis. Physiological Reviews, 99(4), 1877-2013. https://doi.org/10.1152/physrev.00018.2018
  4. 4.Trivedi, M. H., Rush, A. J., Wisniewski, S. R., Nierenberg, A. A., Warden, D., Ritz, L., ... & Fava, M. (2006). Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D. American Journal of Psychiatry, 163(1), 28-40. https://doi.org/10.1176/ajp.2006.163.1.28
  5. 5.Strawbridge, R., Young, A. H., & Cleare, A. J. (2017). Biomarkers for depression: recent insights, current challenges and future prospects. Neuropsychiatric Disease and Treatment, 13, 1245-1262. https://doi.org/10.2147/NDT.S114542
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247 Health News Editorial

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