• A new study published in JCO Precision Oncology demonstrates that Ibex Medical Analytics' AI technology significantly improves pathologists' accuracy and consistency in HER2 biomarker scoring for breast cancer.
• The multi-center study showed AI-assisted pathologists achieved higher inter-observer agreement (83.7% vs 75%) and improved accuracy in identifying challenging HER2-low cases, which is critical for determining eligibility for new targeted therapies.
• The "zero-click" decision support tool demonstrated exceptional robustness across multiple labs, antibodies, scanners, and patient demographics, offering particular value in distinguishing between HER2 0 and 1+ cases.