Real-world data of CanAssist Breast- first immunohistochemistry and AI-based prognostic test

Real-world data of CanAssist Breast- first immunohistochemistry and AI-based prognostic test

Abstract CanAssist Breast (CAB), an immunohistochemistry (IHC) and artificial intelligence-based prognostic test, was developed on Hormone receptor-positive (HR +), HER2/neu-negative (HER2-) breast tumors from Indian patients and validated in retrospective global studies. CAB combines the expression...

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Main Authors: Tejal Deepak Durgekar, Manvi Sunder, Badada Ananthamurthy Savitha, Payal Shrivastava, Rahul Bhagat, Naveen Krishnamoorthy, Deepti K. Shivashimpi, Manjiri Bakre
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
CanAssist Breast
Early-stage breast cancer
Hormone-receptor-positive
Tumor-biology
Multi-protein prognostic test
Cost-effective
Online Access:https://doi.org/10.1038/s41598-025-15736-9
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https://doi.org/10.1038/s41598-025-15736-9

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