Dr. Shai Rosenberg - Hadassah Cancer Research Institute

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Shai Rosenberg, MD, PhD

Senior Neuro-Oncologist

The Laboratory for Cancer Computational Biology

In addition to his research at HCRI, Dr. Rosenberg leads and lectures on Computational Medicine in the Faculty of Medicine at Hebrew University, an innovation-infused dual degree in medicine and computer science. As the head of the Computational Medicine Service in the Hadassah Medical Center, he is also an active collaborator with the hospital’s IT department on several clinically applicable Digital Medicine and Artificial Intelligence projects.
At the Technion, Israel Institute of Technology, Shai completed his MD – PhD in Statistical Genetics under the supervision of Prof. Karl Skorecki and Prof. Sara Selig, and was recognized with the Wolf Prize for excellence, and his MD Cum Laude. Additional research was conducted at France’s Institute for Research of Brain and Spine Diseases (ICM) in the Salpetriere Hospital during a two-year post-doctorate in cancer genomics and computational biology.

Recent Key Publications

TP53_PROF: a machine learning model to predict impact of missense mutations in TP53. Briefings in Bioinformatics, 2022. Gil Ben-Cohen, Flora Doffe, Michal Devir, Bernard Leroy, Thierry Soussi, Shai Rosenberg Author Notes
High throughput SARS-CoV-2 variant analysis using molecular barcodes coupled with next generation sequencing. Plos One, 2022. Lyora A. Cohen-Aharonov, Annie Rebibo-Sabbah, Adar Yaacov, Roy Z. Granit, Merav Strauss, Raul Colodner, Ori Cheshin, Shai Rosenberg, Ronen Eavri.
Rituximab, methotrexate, procarbazine and lomustine (R-MPL) for the treatment of primary Central nervous system lymphoma. Leukemia & Lymphoma, 2022. Eyal Lebel, Neta Goldschmidt, Tali Siegal, Alexander Lossos, Shai Rosenberg, Chen Makranz, Eduard Linetski, Moshe E. Gatt, Alexander Gural, Revital Saban, David Lavie, Vladimir Vainstein, Eran Zimran, Batia Avni, Sigal Grisaro, Adir Shaulov &Boaz Nachmias.
Survival Implications of the Relationship between Tissue versus Circulating Tumor DNA TP53 Mutations—A Perspective from a Real-World Precision Medicine Cohort; Molecular Cancer Therapeutics 2020; Rosenberg S, Okamura R, Kato S, Soussi T, Kurzrock R.
Machine Learning for Better Prognostic Stratification and Driver Gene Identification Using Somatic Copy Number Variations in Anaplastic Oligodendroglioma; The Oncologist 2018; Shai Rosenberg, Francois Ducray, Agusti Alentron, Caroline Dehais, Nabila Elarouci, Aurelie Kamoun, Yannick Marie, Marie-Laure Tanguy, Aurelien De Reynies, Karima Mokhtari, Dominique Figarella-Branger, Jean-Yves Delattre, Ahmed Idbaih, and POLA Network.
TP53_PROF: a machine learning model to predict impact of missense mutations in TP53; Briefings in Bioinformatics 2022; Gil Ben-Cohen , Flora Doffe, Michal Devir, Bernard Leroy, Thierry Soussi, Shai Rosenberg.
Cancer mutational processes vary in their association with replication timing and chromatin accessibility; Cancer Research (AACR Journals) 2021; Yaacov A, Vardi O, Blumenfeld B, Greenberg A, Massey DJ, Koren A, Adar S, Simon I, Rosenberg S.
A novel mutation in PRKCA is a hallmark of chordoid gliomas. Nature Communications 2018; Shai Rosenberg, Iva Simeonova, Franck Bielle, Maite Verreault, Bertille Bance, Isabelle Le Roux, Mailys Daniau, Arun Nadaradjane, Vincent GleizeC, Sophie Paris, Yannick Marie, Marine Giry, Marc Polivka, Dominique Figarella-Branger, Marie-Hélène Aubriot-Lorton, Chiara Villa, Alexandre Vasiljevic, Emmanuèle Lechapt-Zalcman, Michel Kalamarides, Ariane Sharif, Karima Mokhtari, Stefano Maria Pagnotta, Antonio Iavarone, Anna Lasorella, Emmanuelle Huillard, Marc Sanson.
Multi-omics analysis of primary glioblastoma cell lines shows recapitulation of pivotal molecular features of parental tumors. Neuro-Oncology 2017; Rosenberg S, Verreault M, Schmitt C, Guegan J, Guehennec J, Levasseur C, Marie Y, Bielle F, Mokhtari K, Hoang-Xuan K, Ligon K, Sanson M, Delattre JY, Idbaih A.

Shai Rosenberg, MD, PhD

Senior Neuro-Oncologist

The Laboratory for Cancer Computational Biology

Recent Key Publications

HCRI

Immuno Oncology

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