Using data and computational modelling in biomedical research
Bioinformatics and systems biology hold great promise to translate the wealth of biological data into meaningful knowledge about human health and disease. The group of Bas Teusink helps biologists to deal with high throughput data, for example metabolomics (how cell metabolism works) and proteomics (how protein networks work) from patient material or cell cultures. This can help to better understand disease mechanisms and aid drug targeting or personalised medicine. In the future, combining data from different models (in vitro, in vivo and human data) could become a digital model of humans, or a “ digital twin”. Click on the link in the video to watch more or read the interview with Bas (and Jaap Heringa) he[https://vu.nl/en/research/more-about/using-data-and-computational-modelling-in-biomedical-research]re.
Brett Lidbury (The Australian National University)
Brett Lidbury is associate professor at the Research School of Population Health of The Australian National University. He applies machine learning to make predictions about health using human big data rather than animal experiments. For more information, go to www.anu.edu.au and search “Lidbury”.
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