Data visualisation

Why DataVis is needed in biomedical research

Data visualisation in biomedical research

The rapid increase in volume and complexity of modern biomedical data has outpaced currently available analysis methods. As a result, many potential discoveries remain buried in data already collected; worse, many errors in clinical diagnosis remain unrecognised1, contributing to a major cause of death2,3.

Garvan's BioVis Centre is working to help address these challenges, by fostering changes in research and clinical practices. These changes include adopting new, automated analysis methods (e.g., machine learning). However, automated analysis alone is not sufficient4 - we also need to improve the methods used for visual analysis of biomedical data5,6.

Currently, data visualisation is often rate-limiting in biomedicine. For example, current rates of misdiagnosis1 can be reduced by improving how data are visualised7. Driven by this realisation, data visualisation is a major research focus in computer science, creating many resources that could accelerate discovery in science and medicine8-11.

Co-located within a world-leading medical research institute, the BioVis Centre focuses on applying these advanced data visualisation methods to address cutting-edge research challenges. As part of this mission, the Centre develops and maintains a range of widely-used tools & services, and also creates scientific animations designed to educate and inspire the public about key biomedical breakthroughs.

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