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Article
Open AccessLearning to predict RNA sequence expressions from whole slide images with applications for search and classification
Deep learning methods are widely applied in digital pathology to address clinical challenges such as prognosis and diagnosis. As one of the most recent applications, deep models have also been used to extract ...
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Article
Open AccessPublisher Correction: Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Article
An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis
The microscopic assessment of tissue samples is instrumental for the diagnosis and staging of cancer, and thus guides therapy. However, these assessments demonstrate considerable variability and many regions o...
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Article
Open AccessSimilar image search for histopathology: SMILY
The increasing availability of large institutional and public histopathology image datasets is enabling the searching of these datasets for diagnosis, research, and education. Although these datasets typically...
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Article
Open AccessDevelopment and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer
For prostate cancer patients, the Gleason score is one of the most important prognostic factors, potentially determining treatment independent of the stage. However, Gleason scoring is based on subjective micr...
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Article
Cancer Treatment with Anti-PD-1/PD-L1 Agents: Is PD-L1 Expression a Biomarker for Patient Selection?
Strategies to help improve the efficacy of the immune system against cancer represent an important innovation, with recent attention having focused on anti-programmed death (PD)-1/PD-ligand 1 (L1) monoclonal a...
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Optimal Molecular Profiling of Tissue and Tissue Components: Defining the Best Processing and Microdissection Methods for Biomedical Applications
Isolation of well-preserved pure cell populations is a prerequisite for sound studies of the molecular basis of any tissue-based biological phenomenon. This updated chapter reviews current methods for obtainin...
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Article
Open AccessGeneChip analysis of human embryonic stem cell differentiation into hemangioblasts: an in silicodissection of mixed phenotypes
Microarrays are being used to understand human embryonic stem cell (hESC) differentiation. Most differentiation protocols use a multi-stage approach that induces commitment along a particular lineage. Therefor...
