Societal and Technological Changes

Abstract

Introduction – The emergence of ICT in medical research brought forth an immense advancement in understanding the human body. Ball and Lillis foresaw in 2001, “[m]anaging disease [would become] a continuous process, not an episodic one”, and “a new level of knowledge and connectivity [would] make us think and operate differently”. Thomas Kienle described three evolutions that, together, create a dynamic technological framework in healthcare: high tech medicine, machine-aided diagnosis producing digital results and intra-and inter-networks. The Internet has enabled the acquisition and dissemination of large global data sets. So-called ‘high-throughput platforms’ use automation equipment for experiments enabling large scale repeated analyses of much larger data sets at a much faster pace. Big data, machine learning and AI thrive on the use of primary data and meta-data to foster discovery-driven approaches to gain knowledge on, for example, the onset and further development of diseases or drug effects.

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