A company in the international pharmaceutical sector is currently exploring options to address unmet needs of vulnerable patients. These are patients who might experience periods of lack of resources and either forego treatment or compensate for spending on drugs and treatment with savings on other basic needs. OUSC has provided feedback and advice on data requirements and appropriate statistical models to measure treatment affordability, identify groups to target for additional support and measure changes in affordability over time. We have also provided ad-hoc inputs on the predictive modelling of the appearance of symptoms of a disease, using frequentist statistical methods as well as machine learning approaches.