It was a mistake to delete the raw sequencing data., It’s a good idea to double-check AI-generated drug predictions., There is no better option than using machine learning for genome analysis., Ignoring the system error was a bad decision., It’s necessary to validate the AI model before using it for medical research., His skipping data cleaning steps often leads to errors., It was possible for the researchers to detect the mutation earlier., As usual, she ran the sequencing program without checking the settings., It was a bad decision not to encrypt patient records., As always, he forgot to back up the research data before running the program.

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