The Google Brain team announced on July 12, 2018 that it had successfully developed a computer vision technology to identify protein crystals, with a success rate of about 94%. Protein crystallization determines the shape of cells, which has a great effect on drug development for many diseases.

"Every protein usually requires hundreds of experiments. Although the setting and imaging are basically automated, it is still mostly determined by naked eyes to find a certain protein crystal, so human error is prone to exist." Google Brain The chief scientist said in a blog post, “The key is that missing these structures may miss opportunities for important biomedical discoveries, and these discoveries will advance medical progress.”

In order to train this artificial intelligence model, Google researchers cooperated with the Machine Recognition of Crystallization Outcomes (MARCO) project. This project is a kind of cooperation established between pharmaceutical companies and academia. The work results of Google Brain and the project have been open sourced, published on GitHub, and published in the journal "PLOS One" (PLOS One) for detailed introduction.

Tech giants and start-ups have poured into the medical industry, especially imaging services. In June 2018, Baidu Research announced that it had created an algorithm that could identify tumor cells in breast tissue better than human pathologists. Early results also show that artificial intelligence is more accurate than humans in detecting skin cancer.

Also in June 2018, Google researchers published the results of using predictive deep learning models in the cooperative journal NPJ Digital Medicine of Nature to determine whether the patient is likely to be hospitalized again, length of stay, And whether it is likely to die during hospitalization. Earlier, Google shared a computer vision model that can detect diabetic retinopathy, which is a key indicator of cardiovascular disease.

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