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AI in Cancer Research / AI+癌症研究Computational Pathology

Adam Yala

Ph.D.

🏢MIT / UC Berkeley🌐USA

Assistant Professor

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Key Papers
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Key Contributions

👥Biography 个人简介

Adam Yala is a researcher developing AI systems for cancer risk prediction with focus on breast cancer and health equity. His work has created deep learning models that predict breast cancer risk from mammograms more accurately than traditional models, with particular attention to ensuring equitable performance across diverse populations. Yala's research advances AI for cancer screening and prevention.

Adam Yala是开发癌症风险预测AI系统的研究者,专注于乳腺癌和健康公平。他的工作创建了比传统模型更准确地从乳房X光检查中预测乳腺癌风险的深度学习模型,特别关注确保在不同人群中的公平表现。Yala的研究推进了用于癌症筛查和预防的AI。

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🧪Research Fields 研究领域

Breast Cancer AI乳腺癌AI
Risk Prediction风险预测
Health Equity健康公平

🎓Key Contributions 主要贡献

Breast Cancer Risk AI

Developed deep learning risk models outperforming traditional approaches.

AI Equity

Created methods ensuring AI model fairness across demographic groups.

Representative Works 代表性著作

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Toward robust mammography-based models for breast cancer risk

Science Translational Medicine (2021)

Robust breast cancer risk prediction across populations.

📄Data Sources 数据来源

Last updated: 2026-03-05 | All information from publicly available academic sources

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