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Home  >  Speakers  >  Olivier Gevaert
Olivier Gevaert

Olivier Gevaert

Assistant Professor | Stanford, California    United States of America
Oncology, Medicine
Medicine, Biomedical Informatics Research,...More
Spoken at 2 events

Biography :

Dr. Olivier Gevaert research focuses on using advanced machine learning methods to integrate molecular biology data of cancer patients. These data sources are often called omics (e.g. genomics, transcriptomics, proteomics, ...). In addition, I'm also investigating strategies to couple these omics data sources with medical imaging data (e.g. MRI, PET, CT, ...). I primarily use methods based on regularized linear regression including different types of regularization such as lasso, ridge regression, elastic net and combinations or extensions of these. I apply these methods primarily in oncology. I’m currently studying data integration of breast cancer, lung cancer and T-cell acute lymphoblastic leukemia. Both to improve current understanding of pathways that drive oncogenesis or to improve diagnosis, prognosis or therapy response prediction. In the past I worked primarily to study ovarian cancer, hepatocellular carcinoma and gliomas.

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Oncology, Medicine

Interested Topics

Medicine, Biomedical Informatics Research, Molecular biology, Cancer patients, Oncology, Breast cancer, Lung cancer, T-cell acute lymphoblastic leukemia, Diagnosis, Prognosis or therapy response prediction, Biomedical data fusion , Biomedical decision support modeling, Multi-scale data integration, Radiogenomics integration, Applications in oncology, Neuroscience

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