Olivier Gevaert
奥利维尔·热瓦尔特
PhD
Associate Professor of Medicine (Biomedical Informatics Research) and of Biomedical Data Science医学副教授（生物医学信息学研究）及生物医学数据科学副教授
👥Biography 个人简介
Olivier Gevaert leads the Stanford Biomedical Informatics Research Lab, focusing on radiomics and radiogenomics—linking imaging features to molecular profiles for precision oncology. He has developed AI systems that predict genomic alterations, immune subtypes, and survival from routine CT and MRI scans without requiring molecular testing, enabling non-invasive tumor characterization.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
Radiogenomics for Molecular Subtyping
Pioneered radiogenomics approaches correlating imaging features with tumor genomic profiles across brain, lung, and breast cancers, enabling non-invasive prediction of actionable molecular alterations.
Multimodal Imaging-Omics Integration
Developed deep learning frameworks that integrate radiology images with transcriptomics and proteomics to stratify cancer molecular subtypes and predict treatment response.
Representative Works 代表性著作
MRI-Based Radiogenomics of Lower-Grade Glioma Reveals 1p/19q Co-deletion Status and IDH Mutation
Neuro-Oncology (2018)
Demonstrated MRI-based radiogenomics can non-invasively predict key molecular alterations in lower-grade glioma.
Linking Imaging Phenotypes with Genomic Signatures for Cancer Prognosis
Proceedings of the National Academy of Sciences (2015)
Established framework for systematic radiogenomics correlation across TCGA cancer cohorts.
🏆Awards & Recognition 奖项与荣誉
📄Data Sources 数据来源
Last updated: 2026-01-15 | All information from publicly available academic sources
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