Abstract PS6-09: An AI-digital breast cancer risk discrimination platform (PreciseDx) using a representative H&E image and selected clinical variables accurately categorized patients with oncotype Dx low risk recurrence scores (RS)
Donovan, Michael Joseph, Shpalensky, Nina, Prastawa, Marcel, Abishek, SM, Scott, Richard, Sawyer, Mary, Zeineh, Jack, Fernandez, Gerardo
Published in Cancer research (Chicago, Ill.) (15.02.2021)
Published in Cancer research (Chicago, Ill.) (15.02.2021)
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Journal Article
Abstract P3-08-11: The application of machine learning techniques to standardize breast cancer grading and develop multivariate risk outcome models
Prastawa, Marcel, Madduri, Abishek Sainath, Veremis, Brandon, Shtabsky, Alexander, Marami, Bahram, Zeineh, Jack, Donovan, Michael Joseph, Fernandez, Gerardo
Published in Cancer research (Chicago, Ill.) (15.02.2020)
Published in Cancer research (Chicago, Ill.) (15.02.2020)
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Journal Article
Performance of a clinically validated urine exosome gene expression test to predict high grade prostate cancer in men with a prior negative biopsy
Donovan, Michael Joseph, Torkler, Phillipp, Noerholm, Mikkel, Skog, Johan, McKiernan, James M
Published in Journal of clinical oncology (20.02.2018)
Published in Journal of clinical oncology (20.02.2018)
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Journal Article
The application of artificial intelligence and machine learning to automate Gleason grading: Novel tools to develop next generation risk assessment assays
Donovan, Michael Joseph, Scott, Richard, Khan, Faisal m, Zeineh, Jack, Fernandez, Gerardo
Published in Journal of clinical oncology (20.02.2018)
Published in Journal of clinical oncology (20.02.2018)
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Journal Article
Abstract B093: Development and validation of a novel automated Gleason grade and molecular profile that define a highly predictive prostate cancer progression algorithm-based test
Donovan, Michael Joseph, Fernandez, Gerardo, Scott, Richard, Zeineh, Jack, Koll, Giovanni, Khan, Faisal, Gladoun, Nataliya, Charytonowicz, Elizabeth, Tewari, Ash, Cordon-Cardo, Carlos
Published in Cancer research (Chicago, Ill.) (15.08.2018)
Published in Cancer research (Chicago, Ill.) (15.08.2018)
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Serial CTC/cfDNA assessment for the identification of pathogenic mutations in patients with breast cancer
Irie, Hanna, Schmidt, Paul H., Port, Elisa R., Kinoshita, Yayoi, de la Iglesia, Janis, Pisapati, Kereeti, Couri, Ronald, Kolodka, Olivia, Arib, Hanane, Sebra, Robert P., Donovan, Michael Joseph
Published in Journal of clinical oncology (20.05.2017)
Published in Journal of clinical oncology (20.05.2017)
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Journal Article
Abstract A40: The incorporation of PTEN/EGFR (DNA) FISH and quantitative biomarker immunofluorescence identifies a phenotype associated with survival in patients with malignant glioma
Donovan, Michael Joseph, Erill, Nadina, Puig, Pere, Colomer, Anna, Boluda, Susana, Ferrer, Isidre
Published in Clinical cancer research (01.04.2010)
Published in Clinical cancer research (01.04.2010)
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