Plain-English translation of NCT05102240 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
This research study is developing new ways to personalize cervical cancer treatment by using advanced imaging scans (MRI and CT) combined with artificial intelligence and machine learning. Doctors will use computer programs to automatically map out tumors and surrounding tissues, predict which patients might experience side effects, and identify which patients are most likely to respond well to treatment. The goal is to make radiation therapy more precise and effective for each individual patient.
Current cervical cancer treatment relies on general protocols that work the same way for everyone, but patients respond differently and experience different side effects. This study aims to fill that gap by using artificial intelligence and advanced imaging to predict individual patient outcomes and tailor treatment plans, potentially improving results while reducing harm to healthy tissue.
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You would not need to attend additional visits or undergo new procedures. Instead, researchers would use your existing medical scans (MRI and CT images) and clinical information that were already collected during your cancer treatment. They would also review tissue samples and blood work you may have already had done. All of this information would be analyzed using artificial intelligence to help develop better, more personalized treatment strategies for future cervical cancer patients.
AI-generated summary from trial data · Aug 5, 2026 · Not medical advice
India
Sponsor
Tata Memorial Hospital
Collaborators
Bhabha Atomic Research Centre, Erasmus Medical Center
Enrollment target
~1,800 participants
Started
February 2022
Primary completion
June 2026
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
18 Years – 90 Years
Sex
Female only
Last updated on clinicaltrials.gov in February 2026.
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Central contact
Supriya Sastri (nee Chopra), MD
Tata Memorial Centre, The Advanced Centre for Treatment, Research and Education in Cancer (ACTREC)
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.