The field of predictive testing in gynecology is continually evolving. Recent advancements include the development of more accurate genetic tests, the use of artificial intelligence to improve diagnostic accuracy, and the integration of multi-omics approaches that combine genomic, proteomic, and metabolomic data for comprehensive risk assessment.
