The premise when AI Sweden and AstraZeneca challenged experts in machine learning was straightforward: Help us find a way to avoid toxic preprocessing of cell cultures when testing new drugs.
The winning entry by the HASTE team makes use of one of the machine learning based technologies featured in Nature's article. They used a technology that focuses on collecting data points to create an overview of the cell structure, while specifically searching for information about the cell's core, so-called privileged information. Thanks to this, it is possible to skip the preprocessing and immediately gain an understanding of how the cell is structured and reacts to new drugs. Shortly after the winning team was announced, the algorithms were already adopted by AstraZeneca in robotic-microscopy experiments with the aim of developing new drugs.
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