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Predictions of the effect of drugs on individual cells are now possible

Experts from ETH Zurich, the University of Zurich, and University Hospital Zurich have used machine learning to jointly create a innovative method. This new approach can predict how individual cells react to specific treatments, offering hope for more accurate diagnoses and therapeutics.

How differently do various cancer cells respond to the effects of drugs? A new method from Zurich researchers now makes it possible to accurately predict the effect on individual cells. (Image: Adobe Stock)

Cancer is triggered by changes in cells that lead to the proliferation of pathogenic tumour cells. In order to find the most effective combination and dosage of drugs, it is advantageous if physicians can see inside the body, so to speak, and determine what effect the drugs will have on individual cells.

An interdisciplinary research team of biomedical and computer scientists from ETH Zurich, the University of Zurich, and the University Hospital Zurich has now developed a machine learning approach that allows such cell changes and drug effects to be modelled and predicted with much greater accuracy and nuance than before.

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