Researchers have developed Mantis, a foundation model trained solely on mechanistic simulations to forecast infectious diseases in various settings with limited data. This breakthrough enables rapid and accurate out-of-the-box forecasts across different diseases and regions, surpassing many existing models in accuracy without relying on real-world training data, making it invaluable for public health responses in low-resource environments.
Read the full article at arXiv cs.AI (Artificial Intelligence)
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