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AI in Cancer Research / AI+癌症研究AI Diagnostics

Alexander Pearson

亚历山大·皮尔森

MD, PhD

🏢University of Chicago(芝加哥大学)🌐USA

Associate Professor of Medicine医学副教授

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Key Papers
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Awards
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Key Contributions

👥Biography 个人简介

Clinician-scientist expert in cancer imaging AI and radiomic feature extraction. Develops and validates AI models for cancer detection, treatment response prediction, and outcome prognostication from CT, MRI, and PET imaging, applying radiomic signatures in head and neck cancer and NSCLC.

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🧪Research Fields 研究领域

AI DiagnosticsAI诊断
Computational Pathology计算病理学
Radiomics影像组学

🎓Key Contributions 主要贡献

Cancer Imaging AI and Radiomics

Developed radiomic feature extraction pipelines and machine learning models for cancer imaging that predict treatment response and outcomes in head and neck cancers, advancing the clinical utility of AI-driven imaging biomarkers.

Representative Works 代表性著作

[1]

Machine learning-based radiomic features for prediction of treatment response in head and neck squamous cell carcinoma

Radiotherapy and Oncology (2020)

Validated radiomic AI models for predicting radiotherapy response in HNSCC, demonstrating potential for AI-guided adaptive treatment.

🏆Awards & Recognition 奖项与荣誉

🏆University of Chicago Innovation Award
🏆AACR Scholar-in-Training Award

📄Data Sources 数据来源

Last updated: 2026-01-15 | All information from publicly available academic sources

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