Datatera is an AI-based rule engine within a data warehouse environment to indicate early signs and the likelihood of developing a brain tumor based on the assessment of imaging data and other relevant factors to aid in targeted screening and monitoring of highly at-risk patients in collaboration with caregivers to support more patient-centered drug development. We provide an efficient and accurate method for performing initial screenings and flagging potential abnormal cases, resulting in earlier tumor detection by improving the accuracy of medical image analysis. We assist caregivers in making informed decisions, improving patient outcomes, and allocating resources efficiently. Combining patient data from different sources enables medical caregivers to make clinical decisions that are more precise, individualized, and supported by the best available evidence, raising the level of care and consistency.