The Trinity College Dublin team, led by Prof. John O’Leary, presents the progress of its clinical studies within the SEARCH project, exploring how synthetic data, genomics and artificial intelligence can support cervical screening and ovarian cancer research while protecting patient privacy.

In this video, the team introduces the two clinical studies led by Trinity College Dublin. In cervical screening, researchers are developing synthetic data to complement real world data, support biomarker validation and strengthen screening algorithms. In ovarian cancer, clinical, pathology, imaging and genetic data are being combined with whole genome sequencing to develop machine learning models that could help predict treatment response and support clinical decision making.

The researchers also explain how synthetic data is generated and evaluated for privacy, utility and fidelity, including by comparing synthetic genomic data with real patient data and assessing its performance in downstream clinical tasks.

An important milestone for the Trinity College Dublin team has been the development of clinical frameworks for both use cases, bringing together patients, clinicians, researchers and technical experts to establish a common approach to assessing synthetic data and its future governance.

Watch the video to learn more about the SEARCH clinical validation studies at Trinity College Dublin.