In vitro disease models 4.0 via automation and high-throughput processing.

Abstract

While much progress has been accomplished in the development of physiologically relevant in vitro disease models, current manufacturing and characterisation workflows still rely on manual, time-consuming, and low-throughput processes, which are not efficient and prone to human errors. For these reasons adoption and, more importantly, reproducibility and validation of 3D in vitro disease models is rather low for fundamental and applied research concepts. This article argues in form of a perspective view that automation and high-throughput methodologies will play a vital role to act as a catalyst to accelerate the development and characterisation process for generations to come. Innovative engineering concepts are required to overcome current limitations of in vitro disease models and to foster the scientific rigour as well as the applied research potential.