AI and genes join forces to outsmart rare lymphoma
NCT ID NCT06067347
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study collects genetic data from 1,200 people with T-cell or NK-cell lymphoma to see if machine learning can predict who will respond to treatment. Researchers hope to find patterns that explain why some patients relapse or become resistant to therapy. The goal is to pave the way for more personalized treatment plans in the future.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this study could help doctors predict which treatments work best for each patient with T-cell or NK-cell lymphoma, moving toward personalized care.
What could go wrong
This is an observational study, not a treatment trial, so it won't directly test new therapies. Results may take years and might not lead to immediate changes in care.
Disclaimer
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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.
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.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
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Locations
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City of Hope
RECRUITINGDuarte, California, 91010, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Dana-Farber Cancer Institute
RECRUITINGBoston, Massachusetts, 02215, United States
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Hackensack University Medical Center
RECRUITINGHackensack, New Jersey, 07601, United States
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Kyoto University
RECRUITINGKyoto, 606-8501, Japan
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Massachusetts General Hospital
RECRUITINGBoston, Massachusetts, 02114, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Mayo Clinic
RECRUITINGRochester, Minnesota, 55905, United States
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Moffitt Cancer Center
RECRUITINGTampa, Florida, 33612, United States
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OhioHealth
RECRUITINGColumbus, Ohio, 43214, United States
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Peter MacCallum Cancer Centre
RECRUITINGMelbourne, Victoria, 3000, Australia
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Royal Adelaide Hospital
RECRUITINGAdelaide, South Australia, 5000, Australia
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University of Cape Town
RECRUITINGCape Town, South Africa, 7700, South Africa
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University of Colorado
RECRUITINGDenver, Colorado, 80204, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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University of Pennsylvania
RECRUITINGPhiladelphia, Pennsylvania, 19104, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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University of Virginia
RECRUITINGCharlottesville, Virginia, 22903-4, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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