Biosensors are one of the recent promising solutions for diagnosing and reducing disease death rates. The current leading causes of death are cancer and heart disease; their early and precise diagnosis is essential for successful prognosis and survival. They also have the potential to prevent future pandemics.

Technological developments are the key driving factors for the improvement of biosensors. Despite the current development, the design and fabrication of biosensors are still challenging; accurate numerical simulation could be a game-changer, as it improves the understanding of the detection process and significantly reduces the design time. The FDA (Food and Drug Administration) has been motivating developers to use computational modelling and simulation, speeding up the evaluation and approval process.

This project aims to find the key players in this field and develop a systematic literature review of the current numerical platforms for designing and analysing microfluidic-integrated biosensors, categorising and critically analysing their capabilities.