AI and genes join forces to outsmart rare lymphoma

NCT ID NCT06067347

Recruiting now Knowledge-focused Sponsor: Massachusetts General Hospital Source: ClinicalTrials.gov ↗

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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

neoplasm of mature T-cells or NK-cells T-cell and NK-cell neoplasm

As listed by the trial registrant

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

T-CELL AND NK-CELL NEOPLASM

Contacts and locations

Locations

City of Hope
RECRUITING

Duarte, California, 91010, United States
Dana-Farber Cancer Institute
RECRUITING

Boston, Massachusetts, 02215, United States
Hackensack University Medical Center
RECRUITING

Hackensack, New Jersey, 07601, United States
Kyoto University
RECRUITING

Kyoto, 606-8501, Japan
Massachusetts General Hospital
RECRUITING

Boston, Massachusetts, 02114, United States
Mayo Clinic
RECRUITING

Rochester, Minnesota, 55905, United States
Moffitt Cancer Center
RECRUITING

Tampa, Florida, 33612, United States
OhioHealth
RECRUITING

Columbus, Ohio, 43214, United States
Peter MacCallum Cancer Centre
RECRUITING

Melbourne, Victoria, 3000, Australia
Royal Adelaide Hospital
RECRUITING

Adelaide, South Australia, 5000, Australia
University of Cape Town
RECRUITING

Cape Town, South Africa, 7700, South Africa
University of Colorado
RECRUITING

Denver, Colorado, 80204, United States
University of Pennsylvania
RECRUITING

Philadelphia, Pennsylvania, 19104, United States
University of Virginia
RECRUITING

Charlottesville, Virginia, 22903-4, United States