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Delft University of Technology
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Precise proton therapy thanks to uncertainty algorithms
“10 million people a year die from cancer, but many millions survive long term after receiving radiotherapy treatments, so if you can make a computational model that increases effectiveness or decreases side-effects by even just a few per cent, that can help thousands of patients,” says Zoltán Perkó, a specialist in Deep Learning, AI and Computational Physics.
Lavinia Marin
Assistant professor, section Ethics/Philosophy of Technology (EPT)
Juan Durán
Assistant professor, section Ethics/Philosophy of Technology (EPT)
Rutger van Bergem
Assistant professor, section Economics of Technology & Innovation (ETI)
Giang Tran
Assistant professor, section Economics of Technology & Innovation (ETI)
Ro Naastepad
Assistant professor, section Economics of Technology & Innovation (ETI)
Laurens Rook
Assistant professor, section Economics of Technology & Innovation (ETI)
Creating order in chaos: data visualization
If you want to know more about the research of Thomas Höllt, you could simply have a look at his work. It should – for the trained eye – speak for itself. And what you will see, will vary from the dispersion of proteins in cells, to the different layers in an old Vermeer painting. His visualization platform does not only help biologists to understand how the immune system works, it also helps them to get to the roots of diseases and come up with specialized treatment. And it can also be used to identify and chart invaluable paintings and could have many more applications.
Sounds good: treating depression with ultrasound
Tiago Costa is developing a novel targeted neuro-modulation treatment for depression, using focused ultrasound. His goal is to treat only brain areas that need attention, leaving other parts of the brain undisturbed.
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