Eldad Shulman

15PUBLICATIONS
91CO-AUTHORS
Molecular targetsPredictive and prognostic markersGene expression (incl. microarray and other genome-wide approaches)Evolutionary computationHaematological tumours
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Publications (15)

|Sep 24, 2026
A Machine Learning Framework Enables Supervised Treatment Response Prediction from Tumor Transcriptomics across Cancer Types.

|Dec 31, 2025
A machine learning framework for supervised treatment response prediction from tumor transcriptomics: A large-scale pan-cancer study.

Lipika Ray Pal, Edward Michael Gertz, Nishanth Ulhas Nair

|Oct 30, 2025
Path2Omics Enhances Transcriptomic and Methylation Prediction Accuracy from Tumor Histopathology.

Danh-Tai Hoang, Eldad D Shulman, Saugato Rahman Dhruba

|Oct 01, 2025
Deep learning inference of cell type-specific gene expression from breast tumor histopathology.

Andrew T Wang, Saugato R Dhruba, Kun Wang

|Sep 29, 2025
Pathologist-interpretable breast cancer subtyping and stratification from AI-inferred nuclear features.

Ranjan Kumar Barman, Saugato Rahman Dhruba, Danh-Tai Hoang

|Jun 26, 2025
Path2Omics: Enhanced transcriptomic and methylation prediction accuracy from tumor histopathology.

Danh-Tai Hoang, Eldad D Shulman, Saugato Rahman Dhruba

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Frequent Collaborators

11 joint publications

Eytan Ruppin

6 joint publications

Danh-Tai Hoang

5 joint publications

Kenneth D Aldape

5 joint publications

Tiangen Chang