Big data aims to match depression patients with best meds
NCT ID NCT05267873
First seen Apr 26, 2026 · Last updated Jun 17, 2026 · Updated 8 times
Summary
This study looked at nearly 10,000 patients to see if combining information from clinical trials and electronic health records can help predict which depression medication works best for each person. Researchers analyzed data from people prescribed duloxetine or vortioxetine. The goal was to improve personalized mental health care, not to test a new treatment.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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Johns Hopkins Bloomberg School of Public Health
Baltimore, Maryland, 21205, United States
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.