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Translational Medicine / 转化医学AI Pathology, AI Biomarker Scoring HER2

Gabriele Campanella

PhD

🏢Icahn School of Medicine at Mount Sinai🌐USA

Research Scientist

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Key Contributions

👥Biography 个人简介

Dr. Gabriele Campanella is a computational pathologist at Mount Sinai who has contributed to AI-based biomarker quantification on digital pathology slides. He developed and validated deep learning approaches for automated HER2 IHC scoring and PD-L1 quantification that achieve pathologist-level agreement. His work on clinical validation of AI biomarker scoring systems addresses the regulatory and analytical challenges of deploying quantitative AI pathology tools in clinical practice.

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🧪Research Fields 研究领域

AI HER2 IHC scoring
automated biomarker quantification
PD-L1 AI scoring pathology
deep learning tissue biomarker
clinical validation AI pathology biomarkers

🎓Key Contributions 主要贡献

Representative Works 代表性著作

📄Data Sources 数据来源

Last updated: 2026-04-01 | All information from publicly available academic sources

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