Abstract The global surge in COVID-19 cases underscores the need for fast, scalable, and reliable testing. Current diagnostic tests are limited by turnaround time, availability, or occasional false findings. Here, we developed a machine learning-based framework predicting individual positive diagnosis relying only on readily-available baseline data, including patient demographics, comorbidities...