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Eldad D Shulman

Showing results (11-20 of 21) with videos related to

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Cancer Research|October 30, 2025
Path2Omics Enhances Transcriptomic and Methylation Prediction Accuracy from Tumor HistopathologyDanh-Tai Hoang, Eldad D Shulman, Saugato Rahman Dhruba, et al.
Cancer Immunology Research|April 19, 2023
MYC Induces Immunotherapy and IFNγ Resistance Through Downregulation of JAK2Ettai Markovits, Ortal Harush, Erez N Baruch, et al.
Cell Reports|September 30, 2021
A cell-type-specific atlas of the inner ear transcriptional response to acoustic traumaBeatrice Milon, Eldad D Shulman, Kathy S So, et al.
The Lancet. Digital Health|June 5, 2026
Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort studyAlexander P Landry, Farshad Nassiri, Leeor S Yefet, et al.
Biorxiv : the Preprint Server for Biology|July 2, 2026
Histopathology-inferred spatial transcriptomics characterizes the tumor microenvironment in 1,500 head and neck tumors and predicts clinical outcomesSumona Biswas, Sumeet Patiyal, Tien-Hua Chen, et al.
The Lancet. Oncology|February 5, 2026
Classification accuracy of a hierarchical molecular inference-based deep-learning system for CNS tumour diagnosis: a multi-institutional, retrospective studyH Lalchungnunga, Christopher H Dampier, Omkar Singh, et al.
Nature Communications|September 9, 2024
Human aneuploid cells depend on the RAF/MEK/ERK pathway for overcoming increased DNA damageJohanna Zerbib, Marica Rosaria Ippolito, Yonatan Eliezer, et al.
Cancer Discovery|September 9, 2024
Increased RNA and Protein Degradation Is Required for Counteracting Transcriptional Burden and Proteotoxic Stress in Human Aneuploid CellsMarica Rosaria Ippolito, Johanna Zerbib, Yonatan Eliezer, et al.
Med (New York, N.Y.)|December 13, 2022
Clinically oriented prediction of patient response to targeted and immunotherapies from the tumor transcriptomeGal Dinstag, Eldad D Shulman, Efrat Elis, et al.
Nature Cancer|July 3, 2024
A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomicsDanh-Tai Hoang, Gal Dinstag, Eldad D Shulman, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Cancer Research|October 30, 2025
Path2Omics Enhances Transcriptomic and Methylation Prediction Accuracy from Tumor HistopathologyDanh-Tai Hoang, Eldad D Shulman, Saugato Rahman Dhruba, et al.
Cancer Immunology Research|April 19, 2023
MYC Induces Immunotherapy and IFNγ Resistance Through Downregulation of JAK2Ettai Markovits, Ortal Harush, Erez N Baruch, et al.
Cell Reports|September 30, 2021
A cell-type-specific atlas of the inner ear transcriptional response to acoustic traumaBeatrice Milon, Eldad D Shulman, Kathy S So, et al.
The Lancet. Digital Health|June 5, 2026
Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort studyAlexander P Landry, Farshad Nassiri, Leeor S Yefet, et al.
Biorxiv : the Preprint Server for Biology|July 2, 2026
Histopathology-inferred spatial transcriptomics characterizes the tumor microenvironment in 1,500 head and neck tumors and predicts clinical outcomesSumona Biswas, Sumeet Patiyal, Tien-Hua Chen, et al.
The Lancet. Oncology|February 5, 2026
Classification accuracy of a hierarchical molecular inference-based deep-learning system for CNS tumour diagnosis: a multi-institutional, retrospective studyH Lalchungnunga, Christopher H Dampier, Omkar Singh, et al.
Nature Communications|September 9, 2024
Human aneuploid cells depend on the RAF/MEK/ERK pathway for overcoming increased DNA damageJohanna Zerbib, Marica Rosaria Ippolito, Yonatan Eliezer, et al.
Cancer Discovery|September 9, 2024
Increased RNA and Protein Degradation Is Required for Counteracting Transcriptional Burden and Proteotoxic Stress in Human Aneuploid CellsMarica Rosaria Ippolito, Johanna Zerbib, Yonatan Eliezer, et al.
Med (New York, N.Y.)|December 13, 2022
Clinically oriented prediction of patient response to targeted and immunotherapies from the tumor transcriptomeGal Dinstag, Eldad D Shulman, Efrat Elis, et al.
Nature Cancer|July 3, 2024
A deep-learning framework to predict cancer treatment response from histopathology images through imputed transcriptomicsDanh-Tai Hoang, Gal Dinstag, Eldad D Shulman, et al.
Pageof 3