The DNA data has mistakes. , You should check for errors in the data., The AI gave different answers for the same case. , You ought to train the AI with better examples., The software is old and missing new tools. , You had better update the software., The patient’s genetic test is unclear. , You should compare the test with more data., The drug database is incomplete., You might as well use another drug database., The data analysis is too slow. , You should make the analysis faster., The team forgot to write down changes in the data., You shouldn't have forgotten to record changes., The hospital’s system suddenly stopped working., You should check the system logs for problems., The protein structure prediction is wrong. , You ought to fix the protein model settings., The research didn’t test if the method works well. , You ought to test the method before publishing the study..

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