Detection and quantification of immune landscape changes
TAS addresses the limitations of existing TCR data analysis by using statistical noise modeling and clustering to provide a dynamic, system-level view of T cell activation, enhancing predictive power and therapeutic guidance.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- OMNISCOPE LTD
- Filing Date
- 2025-12-16
- Publication Date
- 2026-06-25
AI Technical Summary
Existing methods for analyzing T cell receptor (TCR) sequence data are limited in their ability to accurately quantify and detect subtle changes in the immune landscape, often missing rare clones and providing only static snapshots of the immune response, which hinders predictive power and requires invasive sampling.
The T cell Activity Score (TAS) method utilizes TCR sequencing, statistical noise modeling, and TCR clustering to detect and measure changes in the TCR repertoire, providing a dynamic, system-level representation of T cell activation by identifying significant clonal expansions and grouping TCRs based on functional similarity, enabling longitudinal tracking and non-invasive monitoring.
TAS offers a comprehensive, non-invasive, and predictive tool for monitoring immune responses, allowing early assessment of treatment efficacy and patient outcomes, applicable to various diseases and therapies, with improved accuracy and sensitivity.
Smart Images
Figure EP2025087473_25062026_PF_FP_ABST