According to Sylow, et al (2022), there is a "35% increase in the hazard of diabetes following a cancer diagnosis." Since prediabetes is reversable, we want to help people identify their risk of prediabetes early and suggest ways to reduce their risk. We plan to do this with delay differential equation models and sensitivity analysis of the parameters. Our long-term goal is to create an app which reads data from wearable devices (e.g. a Fitbit or Apple watch), calculates the individual's risk score, and suggests treatments or life-style changes.