Then, it compares that data against each patient's profile to create their unique, optimal treatment plan.

然后，它将这些数据与每个患者的个人资料进行比较，以创建他们独特的最佳治疗计划。

Tests that can reveal a patient's pain profile are enticing, especially when they offer the promise of early diagnosis.

能够揭示患者疼痛状况的测试很有吸引力，特别是当它们提供早期诊断的希望时。

Then, it compares that data against each patient’s profile to create their unique, optimal treatment plan.

然后， 它将这些数据与每位患者的个人资料进行比较，以制定他们独特的最佳治疗计划。

This broad pattern-seeking approach can be used to identify similarities between patient profiles and find emerging patterns, all without human guidance.

这种广泛的模式搜索方法可用于识别患者档案之间的相似性并找到新出现的模式，所有这些都无需人工指导。

To see these in action, let's imagine researchers are trying to pull information from a set of medical data containing thousands of patient profiles.

为了解实际情况，让我们假设研究人员正试图从一组包含数千名患者资料的医疗数据中提取信息。