EGFR mutation prediction using AI on combined pathology, radiology and demographic data

We’re looking for a student to help organize and input demographic information for patients who have linked pathology scans and imaging data, which will be used to build an AI model. The work involves reviewing medical records and entering data into a system—no technical skills or coding experience is required. This is a great chance to get hands-on experience with clinical documentation, contribute to research that could lead to presentations or publications, and explore interests in areas like cancer care, pathology, or imaging. The data will also help support related studies in molecular research.