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New-Scale Biology: Massive Datasets Are Aiding the Fight Against Superbugs
Knight Campus research could help build large biological datasets needed for machine learning to predict and prevent cancer, diseases, and antibiotic-resistant bacteria before they emerge.
Artificial intelligence relies on machine learning algorithms trained on massive datasets to make predictions — think of how ChatGPT learned language by gorging on the internet. In biology, however, scientists face a frustrating challenge — the high-quality datasets needed to train powerful artificial intelligence models are rare. Without these datasets, we can't harness machine learning to tackle our most pressing health challenges.
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