Members of the Google Brain team today announced that they have crafted computer vision for the identification of protein crystallization, claiming accuracy rates around 94 percent. Protein crystallization determines the shape of cells and can play a role in discovery of drugs to treat various illnesses. "Hundreds of experiments are typically run for each protein, and while the setup and imaging are mostly automated, finding individual protein crystals remains largely performed through visual inspection and thus prone to human error," Google Brain principal scientist Vincent Vanhoucke said in a blog post today. "Critically, missing these structures can result in lost opportunity for important biomedical discoveries for advancing the state of medicine." To train the AI model, Google researchers worked with the Machine Recognition of Crystallization Outcomes (MARCO) initiative, a partnership between pharmaceutical companies and academics.