Data

ONTOX Hackathon: Hack To Save Lives And Avoid Animal Suffering
Meeting videos
HelpathonsHealthToxicologyData

ONTOX Hackathon: Hack To Save Lives And Avoid Animal Suffering

Artificial Intelligence (AI) in toxicology – a potential driver for reducing or replacing laboratory animals in the future. ONTOX project is looking for solutions and innovative ideas to move forward. Are you going to help ONTOX to hack into these complex challenges? The hackathon will be held from 21 to 23 April 2024 in Utrecht Science Park. The whole event is open to a diverse community of forward-thinkers and problem-solvers interested in the intersection of AI and ethical toxicology. The goal is to bring together passionate individuals who seek innovative solutions to critical challenges in toxicology. Read more about the hackathon and register here (https://ontox-project.eu/hackathon/).
01:0428 days ago
Using data and computational modelling in biomedical research
Innovation examples
HealthInnovationData

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.
00:3011 months ago
Brett Lidbury (The Australian National University)
Expert interviews
DataLiterature

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”.
01:574 years ago
A New Way to Evaluate Chemical Safety and Assess Risk
Various subjects
ToxicologyDataPolicy

A New Way to Evaluate Chemical Safety and Assess Risk

TOX21
06:294 years ago