AI tailors brain zaps to ease Veterans' gulf war pain

NCT ID NCT07325513

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests whether a machine learning algorithm can predict the best way to deliver repetitive transcranial magnetic stimulation (rTMS) to reduce headaches and body pain in veterans with Gulf War Illness. 140 veterans will receive 13 active rTMS sessions over 3-4 months, and their pain, mood, and function will be tracked. The goal is to replace the current trial-and-error approach with a personalized treatment plan.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance

repetitive transcranial magnetic stimulation (rTMS)

What this could lead to

If successful, this could provide a personalized, non-drug treatment to ease chronic headaches and body pain in veterans with Gulf War Illness.

What could go wrong

This is an early-stage study with 140 participants, and the machine learning model may not improve outcomes. rTMS can cause mild side effects like headache or scalp discomfort.

Disclaimer Read more

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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Conditions

The condition(s) this trial relates to.

Arthralgia Headache headache disorder migraine without aura persian gulf syndrome

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Jennifer Moreno Department of Veterans Affairs Medical Center

    RECRUITING

    San Diego, California, 92161, United States

    Contact

    Contact Phone: •••-•••-•••• Email: •••••@•••••