This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
The goal of this study is to find out whether a system that uses trained detection dogs and artificial intelligence (AI) can identify breast cancer from a person's breath. Women who are scheduled to have routine breast cancer screening, such as a mammogram, ultrasound, or a biopsy for a possible cancer, will be invited to take part. Participants will be asked to breathe into a surgical mask to collect a breath sample. The mask will be sent to a special laboratory, where trained dogs and an AI-based system will check the sample for signs of breast cancer. The results from the dogs and AI will be compared to the actual results from the medical screening or biopsy to see how accurate the system is at detecting breast cancer.
A Double Blind Observational Study to Validate the SpotitEarly Test for the Detection of Breast Cancer (The PINK Study)
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: SpotitEarly
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.