TOM: Treatment Outcome Monitor - a cloud-based tool designed specifically for clinics with limited resources

Globalization of clinical trials has improved slightly in the last decade, but many geographic regions have not benefited from these efforts – for example, Africa accounts for both 25% of the world’s disease burden and 17% of the world’s population but hosts less than 2% of global clinical trials. One challenge that clinics in LMICs experience is a lack of infrastructure; this includes the use of electronic medical records (EMRs) for managing and recording patient follow-up. In this project, we will create and validate a lightweight App, together with cloud-based infrastructure, that clinicians can use to record and store this data, compute state-of-the-art machine learning outcome models for treatment efficacy and toxicities, and provide library catalogues of other cohort results for direct comparisons.