Matching patients to clinical trials with cutting-edge machine learning approaches
Clinical trials prove the effectiveness of new medical treatments, including drugs, surgery, and behavior interventions, through evidence-based methods.
Clinical trials are expensive, time-consuming, and often fail to recruit enough patients to establish clinical significance.
Automated methods can improve patient recruitment by reducing manual chart review, identifying eligible patients more quickly, and expanding the pool of potential candidates.