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D Shulman

Showing results (131-140 of 138) with videos related to

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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.
Cell|May 9, 2026
AI-predicted spatial transcriptomics unlocks breast cancer biomarkers from pathologyEldad D Shulman, Emma M Campagnolo, Roshan Lodha, et al.
Pageof 14

Showing results (131-140 of 138) with videos related to

Sort By:
Pageof 14
You have reached the last page of results.This site can display upto 138 results.
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.
Cell|May 9, 2026
AI-predicted spatial transcriptomics unlocks breast cancer biomarkers from pathologyEldad D Shulman, Emma M Campagnolo, Roshan Lodha, et al.
Pageof 14