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Patients were categorized into two groups based on surgical outcomes: no residual disease (R0, n = 14) and suboptimal residual disease (R1, n = 6)
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however, this is FDA staff's proposed position going into the meeting, not a final action, and the committee's discussion, any vote, and FDA's ultimate decision are still pending, so the outcome of the review is not yet known
In this study, three different machine learning algorithms, random forest, support vector machines and bootstrap aggregation with classification and regression trees, were used to predict pre-NACT residual disease (R0, R1) on the basis of the pre-NACT values of 97 different protein levels of HGSOC patients with statistically significant differences before and after NACT
