Phase III Trial Opens: Machine Learning-Guided Problem Solving Therapy vs Standard Care in Depression and Anxiety — What Clinicians Need to Know
247 Health News Editorial
·18 May 2026
·3 min read
·clinical-trialsNew trial tests machine learning-guided problem solving therapy for depression and anxiety. Study uses symptom clustering to personalise psychological interventions, potentially revolutionising mental health treatment approaches.
Originally reported by ClinicalTrials.gov
References
- 1.Cuijpers, P., Wit, L. D., Kleiboer, A., Karyotaki, E., & Ebert, D. D. (2018). Problem-solving therapy for adult depression: An updated meta-analysis. European Psychiatry, 53, 1-10. https://doi.org/10.1016/j.eurpsy.2018.07.002
- 2.Dinga, R., Marquand, A. F., Veltman, D. J., Beekman, A. T., Schoevers, R. A., van Hemert, A. M., ... & Schmaal, L. (2019). Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach. Translational Psychiatry, 9(1), 1-13. https://doi.org/10.1038/s41398-019-0623-2
- 3.Drysdale, A. T., Grosenick, L., Downar, J., Dunlop, K., Mansouri, F., Meng, Y., ... & Liston, C. (2017). Resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nature Medicine, 23(1), 28-38. https://doi.org/10.1038/nm.4246
- 4.Fernandes, B. S., Williams, L. M., Steiner, J., Leboyer, M., Carvalho, A. F., & Berk, M. (2017). The new field of 'precision psychiatry'. BMC Medicine, 15(1), 1-7. https://doi.org/10.1186/s12916-017-0849-x
- 5.Huys, Q. J., Maia, T. V., & Frank, M. J. (2016). Computational psychiatry as a bridge from neuroscience to clinical applications. Nature Neuroscience, 19(3), 404-413. https://doi.org/10.1038/nn.4238
- 6.Kroenke, K., Spitzer, R. L., & Williams, J. B. (2001). The PHQ-9: validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606-613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x
- 7.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
- 8.Wuhan Mental Health Centre. (2024). Machine Learning-based Classification of Symptom Clusters and Matched Online Cognitive Behavior Intervention for Depression Symptom and Anxiety Symptom. ClinicalTrials.gov. NCT06350201. https://clinicaltrials.gov/study/NCT06350201
- 9.World Health Organization. (2023). Depressive disorder (depression). WHO Fact Sheets. https://www.who.int/news-room/fact-sheets/detail/depression
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247 Health News Editorial
247 Health News is a medical intelligence platform delivering evidence-based research appraisals, clinical trial monitoring, and health technology news for healthcare professionals.
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