Upcoming · By Invitation

International Translational Oncology Exchange

Boston · May 13, 202614:00 – 16:00 ET
Learn more →
←Back to Expert Scholars
research / researchCancer Immunoprevention & Vaccines

Philip Castle

菲利普·卡斯尔

PhD, MPH

🏢National Cancer Institute (NCI), NIH(美国国家癌症研究所)🌐USA

Division Director, Division of Cancer Prevention, NCI癌症预防部主任

90
h-index
2
Key Papers
4
Awards
2
Key Contributions

👥Biography 个人简介

Director of NCI's Division of Cancer Prevention. Internationally recognized for transforming cervical cancer screening through HPV-based testing and leading global prevention programs. Has shaped WHO guidelines and national screening policies. Published over 500 papers on HPV, cervical cancer prevention, and cancer interception.

Share:

🧪Research Fields 研究领域

Cervical Cancer Screening宫颈癌筛查
HPV TestingHPV检测
Global Cancer Prevention Programs全球癌症预防项目
HPV Natural HistoryHPV自然史
Cancer Interception癌症拦截

🎓Key Contributions 主要贡献

HPV Testing and Screening

Led landmark studies establishing HPV co-testing and primary HPV testing as superior to cytology alone for cervical cancer screening, influencing major guideline changes in the USA and globally.

Global Prevention Programs

Directed large-scale cervical cancer prevention research in low- and middle-income countries, integrating HPV vaccination and screening to reduce cervical cancer burden worldwide.

Representative Works 代表性著作

[1]

Performance of carcinogenic human papillomavirus (HPV) testing and HPV16 or HPV18 genotyping for cervical cancer screening

Journal of the National Cancer Institute (2011)

Defined the superior performance of HPV genotyping for risk stratification in cervical cancer screening, adopted in US and international guidelines.

[2]

Five-year experience of human papillomavirus DNA and Papanicolaou test cotesting

Obstetrics & Gynecology (2011)

Large prospective study validating cotesting approach, supporting extended screening intervals and risk-based management.

🏆Awards & Recognition 奖项与荣誉

🏆NCI Director's Award
🏆American Society for Colposcopy and Cervical Pathology Distinguished Award
🏆International Papillomavirus Society Lifetime Achievement Award
🏆NIH Director's Award

📄Data Sources 数据来源

Institution

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

Related Experts 相关专家

Faisal Mahmood

Brigham and Women's Hospital; Harvard Medical School

Computational Pathology — Deep Learning for Whole-Slide Image Analysis and Tumor Microenvironment CharacterizationFoundation Models for Pathology — CONCH and TITAN Vision-Language Models for Oncology

Kun-Hsing Yu

Harvard Medical School; Brigham and Women's Hospital

Multimodal Oncology AI — Integrating Pathology Images, Genomics, Proteomics, and Clinical RecordsAI Pathology-Genomics Integration — Predicting Molecular Alterations from Histomorphology

Ziad Obermeyer

University of California, Berkeley; UC San Francisco

Algorithmic Bias in Healthcare AI — Racial Disparities in Predictive Risk ScoresPredictive Models for Cancer and Critical Illness — Machine Learning in Clinical Practice

Andrew H. Beck

PathAI; Harvard Medical School (formerly)

PathAI — Founding and Scientific Direction of AI-Powered Pathology PlatformDeep Learning for Pathology Biomarker Discovery — TILs, Fibrosis, and Tumor Architecture

关注 菲利普·卡斯尔 的研究动态

Follow Philip Castle's research updates

留下邮箱，当我们发布与 Philip Castle（National Cancer Institute (NCI), NIH）相关的新研究或访谈时，我们会通知你。

我们不会泄露你的信息，也不会发送无关内容。随时可以退订。

Explore More Experts

Discover the researchers shaping the future of cancer treatment

Browse All ExpertsRead Research Insights