Ruderman Daniel L

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Papers25 papers

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Abstract 5339: Paradoxical androgen receptor regulation by small molecule enantiomers

Katherin Patsch, Chao Liu,Boris Kashemirov, Harish Sura, Grzegorz Zapotoczny, Yuanye Sun, Pavan P. Shah,Jonathan E. Katz, Sujatha Chilakala, Ah Young Joo, Nolan Ung, Maya Aljehani

Cancer Research, (2020): 5339-5339

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Deep learned tissue "fingerprints" classify breast cancers by ER/PR/Her2 status from H&E images

Rishi R Rawat, Itzel Ortega, Preeyam Roy, Fei Sha, Darryl Shibata,Daniel Ruderman,David B Agus

Scientific reports, no. 1 (2020): 7275

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Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains

Nikhil Naik, Ali Madani, Andre Esteva, Nitish Shirish Keskar,Michael F Press,Daniel Ruderman,David B Agus,Richard Socher

Nature communications, no. 1 (2020): 5727-5727

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Monitoring dynamic cytotoxic chemotherapy response in castration-resistant prostate cancer using plasma cell-free DNA (cfDNA)

Katherin Patsch, Naim Matasci, Anjana Soundararajan, Patricia Diaz,David B Agus,Daniel Ruderman,Mitchell E Gross

BMC Research Notes, no. 1 (2019): 1-7

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Deep learning tissue "fingerprints" to identify patients and predict clinical subtypes of breast cancer from digital pathology images

Rishi Rawat,Fei Sha,Darryl Shibata,Daniel Ruderman,David Agus

CANCER RESEARCH, no. SUP13 (2019)

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Image-Based Tracking of Heterogeneous Single-Cell Phenotypes

Katherin Patsch,Shannon M Mumenthaler,Daniel Ruderman

Methods in molecular biology (Clifton, N.J.), (2018): 47-63

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Abstract 5295: Toward high throughput immune infiltrate analysis from H&E stained images

Rishi Rawat,Daniel Ruderman,David B. Agus

Cancer Research, (2018): 5295-5295

Bibtex

mTORC2 contributes to the metabolic reprogramming in EGFR tyrosine-kinase inhibitor resistant cells in non-small cell lung cancer

Chun-Te Chiang, Alexandra N Demetriou, Nolan Ung, Niharika Choudhury, Kimya Ghaffarian,Daniel L Ruderman,Shannon M Mumenthaler

Cancer Letters, (2018): 152-159

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Correlating nuclear morphometric patterns with estrogen receptor status in breast cancer pathologic specimens

Rishi R Rawat,Daniel Ruderman,Paul Macklin,David L Rimm,David B Agus

NPJ breast cancer, no. 1 (2018): 32

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Toward high throughput immune infiltrate analysis from H&E stained images

Rishi R. Rawat,Daniel Ruderman,David B. Agus

CANCER RESEARCH, no. SUP13 (2018)

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Longitudinal Multiplexed Measurement of Quantitative Proteomic Signatures in Mouse Lymphoma Models Using Magneto-Nanosensors

Jung-Rok Lee, Iris Appelmann,Cornelius Miething, Tyler O Shultz,Daniel Ruderman,Dokyoon Kim,Parag Mallick,Scott W Lowe,Shan X Wang

Theranostics, no. 5 (2018): 1389-1398

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Longitudinal Monitoring of Antibody Responses against Tumor Cells Using Magneto-nanosensors with a Nanoliter of Blood

Jung-Rok Lee,Carmel T Chan,Daniel Ruderman,Hui-Yen Chuang,Richard S Gaster,Michelle Atallah,Parag Mallick,Scott W Lowe,Sanjiv S Gambhir,Shan X Wang

Nano letters, no. 11 (2017): 6644-6652

Cited by1WOSBibtex

The emergence of dynamic phenotyping

Daniel Ruderman

Cell biology and toxicology, no. 6 (2017): 507.0-509.0

Cited by2WOSBibtex

Abstract A20: Use of cell-free plasma DNA for dynamic monitoring of response to cytotoxic chemotherapy

Daniel Ruderman, Katherin Patsch, Naim Matasci, Anjana Soundararajan, Patricia M Diaz,Mitchell E. Gross

Cancer Research, (2017)

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Abstract 3731: A novel multidimensional cfDNA assay for real time analysis of chemotherapy response

Pavan P. Shah, Katherin Patsch, Naim Matasci, Anjana Soudararajan, Patricia M Diaz,David B. Agus,Daniel Ruderman,Mitchell E. Gross

Cancer Research, (2017): 3731-3731

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Abstract 3934: Bladder cancer tumor heterogeneity: development of a system-level mutation assay

Katherin Patsch, Naim Matasci, Anjana Soundararajan, John Nicoll,Jonathan E. Katz, Antonio Sanchez, Erika Feierstein, Christina Van Loy, Zhao Xu,David B. Agus,Mitchell E. Gross,Daniel Ruderman

Cancer Research, (2017): 3934-3934

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Abstract 540: Deep learning to determine breast cancer estrogen receptor status from nuclear morphometric features in H&E images