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Clinical Trial Summary

The study will use a blood sample collected from participants to: - Develop new ways of finding and diagnosing lung health problems, such as lung cancer. - Develop tools which make it easier to screen people with possible lung health problems, diagnose problems earlier and with fewer tests, and start the best treatment faster. - Help improve the early diagnosis of lung cancer, as finding lung cancer early means that it can be treated more easily and successfully.


Clinical Trial Description

The results from this study will be linked with the data from the DART study (also collecting data through the Lung Health Check programme) to develop new ways of using computer technology (artificial intelligence) to improve lung health care. The studies use computer programs (called 'algorithms') which can be trained to analyse medical samples. Once developed, these algorithms can be used to support doctors by increasing their speed and accuracy of diagnosing issues. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05368298
Study type Observational
Source University of Oxford
Contact Lakisha Marshall
Phone 01865 617420
Email octo-scoot@oncology.ox.ac.uk
Status Recruiting
Phase
Start date August 11, 2022
Completion date July 31, 2024

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