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. 2023 Mar 11;14:1341. doi: 10.1038/s41467-023-36017-x

Fig. 1. Architecture of machine learning-enabled mHealth platforms for POCT.

Fig. 1

The microfluidic chip is responsible for biosample processing and testing. The resulting signal is acquired by the mobile machine and preprocessed by software installed on the smartphone. After data is transmitted to the cloud server, it can be stored and further analyzed by machine intelligence. IoTs and AI denote internet of things and artificial intelligence, respectively.