ES
Eldad David Shulman
Cedars-Sinai Medical Center, National Cancer Institute, Tel Aviv University, University of Amsterdam, Pangea Biomed, University College London
0000-0002-1859-8819
Employment
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Cedars-Sinai Medical Center Research Scientist I2026 - Present
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National Cancer Institute Research Fellow2024 - 2026
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National Cancer Institute Postdoc researcher2022 - 2024
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Pangea Biomed2021 - 2022
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Tel Aviv University Ph.D. Candidate2017 - 2022
Education
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Tel Aviv University PhD2017 - 2020
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University of Amsterdam Master of Arts (MA)2010 - 2012
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University College London Master of Science (MSc)2007 - 2008
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University of Bristol Bachelor of Science (B.Sc)2004 - 2007
Projects & Funding
Projects & funding information is unavailable.
Publications (26)
- Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study Save
- Deep learning inference of cell type-specific gene expression from breast tumor histopathology Save
- Classification accuracy of a hierarchical molecular inference-based deep-learning system for CNS tumour diagnosis: a multi-institutional, retrospective study Save
- AI-predicted spatial transcriptomics unlocks breast cancer biomarkers from pathology Save
- Path2Omics Enhances Transcriptomic and Methylation Prediction Accuracy from Tumor Histopathology Save
- Pathologist-interpretable breast cancer subtyping and stratification from AI-inferred nuclear features Save
- Path2Omics: Enhanced transcriptomic and methylation prediction accuracy from tumor histopathology Save
- A machine learning framework for supervised treatment response prediction from tumor transcriptomics: A large-scale pan-cancer study Save
- Enhanced prediction of breast cancer patient response to chemotherapy by integrating deconvolved expression patterns of immune, stromal and tumor cells Save
- A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomics Save