An adjusted p-value is a modified version of the p-value used in statistical hypothesis testing to account for multiple comparisons, reducing the likelihood of false positives. This adjustment is crucial in studies with numerous hypotheses to maintain the integrity of statistical conclusions by controlling the family-wise error rate or the false discovery rate.