Advanced data analytics tools can analyze vast amounts of clinical data to identify patterns and correlations that may not be evident through traditional methods. By leveraging machine learning and artificial intelligence, these tools can predict which treatments are likely to be most effective for individual patients, thereby enhancing match accuracy. For instance, predictive algorithms can analyze a patient’s clinical history, genetic data, and other biomarkers to recommend the most suitable treatment options.
