AI hunts for clues to beat rare blood cancers
NCT ID NCT06067347
Summary
This global study aims to use artificial intelligence (machine learning) to analyze the genetic makeup of rare T-cell and NK-cell lymphomas. Researchers will follow 1,200 patients for up to four years to learn how specific genetic changes affect survival and response to different treatments. The goal is to find patterns that could help doctors personalize future care for these cancers.
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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Study contacts
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City of Hope
RECRUITINGDuarte, California, 91010, United States
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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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Hyogo Prefectural Amagasaki General Medical Center
ACTIVE_NOT_RECRUITINGAmagasaki, Hyōgo, 660-8550, Japan
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Kyoto University
RECRUITINGKyoto, 606-8501, Japan
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Massachusetts General Hospital
RECRUITINGBoston, Massachusetts, 02114, 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
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University of Pennsylvania
RECRUITINGPhiladelphia, Pennsylvania, 19104, United States
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University of Virginia
RECRUITINGCharlottesville, Virginia, 22903-4, United States
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Conditions
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