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Oscar Silva

Department of Pathology, Stanford University School of Medicine

291 Campus Drive

Li Ka Shing Building

Stanford, CA 94305-5101

United States

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Scholarly Papers (1)

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Low-Cost, Transcriptional Diagnostic to Accurately Categorize Lymphomas in Low- and Middle-Income Countries

Number of pages: 43 Posted: 04 Jun 2020
Fabiola Valvert, Oscar Silva, Elizabeth Solórzano, Maneka Puligandla, Marcos Mauricio Siliézar Tala, Timothy Guyon, Samuel L. Dixon, Nelly López, Francisco López, Robert Terbrueggen, Kristen E. Stevenson, Yasodha Natkunam, David M. Weinstock and Edward L. Briercheck
La Liga Nacional Contra el Cáncer (INCAN), Department of Pathology, Stanford University School of Medicine, La Liga Nacional Contra el Cáncer (INCAN), Department of Data Sciences, Dana-Farber Cancer Institute, La Liga Nacional Contra el Cáncer (INCAN), DxTerity Diagnostics, DxTerity Diagnostics, La Liga Nacional Contra el Cáncer (INCAN), La Liga Nacional Contra el Cáncer (INCAN), Department of Medical Oncology, Dana-Farber Cancer Institute, Department of Data Sciences, Dana-Farber Cancer Institute, Department of Pathology, Stanford University School of Medicine, Harvard University - Department of Medical Oncology and Fred Hutchinson Cancer Research Center
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Lymphoma; global health; global oncology; transcriptional profiling; diagnosis; lymphoma classification; global diagnostics; cancer diagnostics; machine learning; artificial intelligence