Written in Racket and miniKanren, mediKanren is a reasoning engine for repurposing drugs for rare diseases and cancers by mining medical knowledge graphs. The development team is led by Matt Might and Will Byrd at the Hugh Kaul Precision Medicine Institute at UAB. Recently, the software has also been applied to find drugs that could target COVID-19, leading to a clinical trial in conjunction with the VA hospital system. The project is funded by the NIH NCATS Biomedical Data Translator project. This summer, undergraduate summer interns and I helped improve mediKanren by writing scripts for drug repurposing and general analysis. In this talk, we will show how functional and logic programming is at the heart of mediKanren, and how mediKanren helps shape the future of medicine.