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Study identifier: NCT04060706 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

Heuristics, Algorithms and Machine Learning: Evaluation & Testing in Radiation Therapy

Condition: Cancer  ·  Sponsor: CCTU- Cancer Theme

PhaseN/A
Planned participants310
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersNo

About this study

The Hamlet.rt study is a prospective data collection and patient questionnaire study for patients undergoing image-guided radiotherapy with curative intent. The aim of the study is to use novel machine learning and mathematical techniques to build a model that can predict the risk of significant side effects from radiotherapy treatment for an individual patient: using calculations of normal tissue dose from radiotherapy treatment planning and patient baseline characteristics derived from image and non-image data, continuously updated as the patient is reviewed both during and after treatment. A secondary goal of the project is to facilitate research in machine learning and medical image processing for radiation therapy through the creation of a discoverable and shared data resource for research use.

This description comes directly from the study's public registry record.

Talk to the study team

Meena Murthy  ·  01223 349707  ·  meena.murthy@addenbrookes.nhs.uk

CCTU Cancer  ·  01223 216038  ·  cctuc@addenbrookes.nhs.uk

Always discuss trial participation with your own doctor first.

Locations (1)

Cambridge University Hospitals NHS Foundation TrustCambridge, Cambridgeshire, United KingdomRecruiting

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Source record: clinicaltrials.gov/study/NCT04060706