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. 2019 Aug 26;47:607–615. doi: 10.1016/j.ebiom.2019.08.027

Fig. 1.

Fig. 1

Process of AI/ML in translational medicine. A number of high-throughput assays generate data from many patient samples. Datasets are then structured into machine-readable format and potentially important variables are identified using an ML algorithm. The algorithm will learn relationships between the variables and may perform intelligent tasks such as grouping patients or predicting their outcomes.