<ul><li>The process of building AI models in biology involves starting with a well-posed question related to understanding, detecting, or predicting biological insights.</li><li>Effective data preparation is crucial for building reliable AI models in biology, involving steps like quality control, normalization, and feature selection.</li><li>Choosing the right model for the specific biological problem and data type is essential, as there is no one-size-fits-all approach in AI model selection.</li><li>Training AI models involves splitting datasets, utilizing model evaluation metrics, and ensuring insights gained are as important as the predictions made.</li></ul>

From Data to Discovery: Building AI Models in Biology

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