The benefits appeared to solidify over follow-up and were largely seen in patients with tighter nonculprit lesions in a new substudy of the landmark COMPLETE trial.
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Researchers applied the tools of neuroscience to study when and how an artificial neural network can overcome bias in a dataset. They found that data diversity, not dataset size, is key and that the emergence of certain types of neurons during training plays a major role in how well a neural network is able to overcome dataset bias.