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

Olivier Elemento

奥利维耶·埃莱蒙托

PhD

🏢Weill Cornell Medicine(威尔康奈尔医学院)🌐USA

Director, Caryl and Israel Englander Institute for Precision Medicine; Professor, Physiology & Biophysics精准医学研究所所长;生理学与生物物理学教授

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Key Papers
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Awards
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Key Contributions

👥Biography 个人简介

Olivier Elemento directs precision medicine at Weill Cornell, applying AI and computational genomics to cancer neoantigen prediction, epigenomic regulation, and drug discovery. His group integrates multi-omic data with deep learning to advance immunotherapy and targeted cancer treatment.

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🧪Research Fields 研究领域

AI Cancer Genomics人工智能癌症基因组学
Neoantigen Prediction新抗原预测
Epigenomics表观基因组学
Drug Target Discovery药物靶点发现

🎓Key Contributions 主要贡献

Neoantigen Prediction

Developed AI-based computational tools to predict tumor-specific neoantigens from sequencing data, enabling personalized cancer immunotherapy design.

Cancer Epigenomics

Characterized enhancer hijacking and epigenetic dysregulation in hematologic and solid malignancies, identifying novel therapeutic targets.

Precision Oncology Platform

Built institutional precision medicine infrastructure at Weill Cornell integrating WGS, RNA-seq and clinical data for actionable treatment recommendations.

Representative Works 代表性著作

[1]

Widespread transcriptional scanning in the testis modulates gene evolution rates

Cell (2008)

Foundational study revealing transcriptional mechanisms with implications for cancer testis antigen biology.

[2]

Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia

New England Journal of Medicine (2013)

TCGA AML study characterizing the genomic and epigenomic landscape of 200 adult AML cases.

[3]

Deep learning predicts cancer treatment response from tumor mutation profiles

Cancer Cell (2021)

Demonstrated that deep learning models trained on multi-omic profiles can predict immunotherapy response in cancer patients.

🏆Awards & Recognition 奖项与荣誉

🏆Pershing Square Sohn Prize for Cancer Research
🏆Irma T. Hirschl / Monique Weill-Caulier Trust Research Award
🏆American Cancer Society Research Scholar

📄Data Sources 数据来源

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

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