Immune Marker Classification for SIRT Response Prediction

The patent segments the patient population into distinct response categories (sustained responders, transient responders, non-responders) based on immune marker profiles. This segmentation enables precise prediction of treatment response by classifying patients into specific groups with characteristic immune signatures, directly improving measurement precision while maintaining manageable system complexity through defined classification criteria.

The patent utilizes changes in immune marker parameters (expression levels, ratios, combinations) to predict treatment response. By monitoring specific immune parameters before and after treatment, the system achieves high prediction accuracy without requiring complex diagnostic infrastructure, as these parameters can be measured using standard immunological assays.

The patent performs immune marker measurements and classifications before treatment initiation (pre-treatment baseline assessment). This preliminary action allows clinicians to identify sustained responders who are most likely to benefit from SIRT, enabling informed treatment decisions before committing resources, thereby reducing wasted time and resources on patients unlikely to respond.

The patent focuses measurements on specific, locally-defined immune markers and their relationships (ratios, combinations) rather than comprehensive immune profiling. This localized approach to quality measurement captures the essential predictive information needed for accurate classification while minimizing the time and resources required for analysis.

The patent applies local quality by focusing on specific immune markers and their relationships rather than comprehensive immune system profiling. By measuring particular markers (and their ratios or combinations) that have demonstrated predictive value, the system achieves effective treatment personalization without the complexity of analyzing the entire immune repertoire.

The patent creates a universal classification framework that can be applied across different SIRT treatment contexts and patient populations. The immune marker-based classification system serves multiple functions: predicting response, guiding treatment decisions, and potentially monitoring treatment efficacy, thereby achieving high adaptability through a relatively simple, multi-functional assessment tool.