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Cancer Detection Using Neural Computing Methodology
This paper describes a novel learning methodology used to analyze bio-materials. The premise of this research is to help pathologists quickly identify anomalous cells in a cost efficient method. Skilled pathologists must methodically, efficiently and carefully analyze manually histopathologic materials for the presence, amount and degree of malignancy and/or other disease states. The prolonged attention required to accomplish this task induces fatigue that may result in a higher rate of diagnostic errors. In addition, automated image analysis systems to date lack a sufficiently intelligent means of identifying even the most general regions of interest in tissue based studies and this shortfall greatly limits their utility. An intelligent data understanding system that could quickly and accurately identify diseased tissues and/or could choose regions of interest would be expected to increase the accuracy of diagnosis and usher in truly automated tissue based image analysis.
Semisynthetic and amylase-treated Taraxacum officinale galactans: Combat colorectal cancer with cytokine modifier response
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Breast cancer incidence and stage at diagnosis in the six US-Affiliated Pacific Islands
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Synthesis and biological characterization of an orally bioavailable lactate dehydrogenase-A inhibitor against pancreatic cancer
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Effect of a personalized intensive dietary intervention on base excision repair (BER) in colorectal cancer patients: Results from a randomized controlled trial
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The CNNM-binding interface drives PRL-3-dependent tumor progression in de novo cancer models
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Enriched G4 forming repeats in the human genome are associated with robust well-coordinated transcription and reduced cancer transcriptome variation
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Cancer hotspot mutations rewire ERK2 specificity by selective exclusion of docking interactions
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Triptolide sensitizes cancer cells to nucleoside DNA methyltransferase inhibitors through inhibition of DCTPP1-mediated cell-intrinsic resistance
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PET imaging of differentiated thyroid cancer with thyrotropin-alfa
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A membrane penetrating cyclic lipopeptide based nanocarrier for cancer drug delivery
The CLP5 self-assembles into spherical aggregates and encapsulates doxorubicin to form the CLP5@DOX nanomedicine, which exerts a combined antitumor effect by targeting caspase-3 and penetrating the cell membrane.
Effectiveness and Cost-Effectiveness of Colorectal Cancer Screening With a Blood Test That Meets the Centers for Medicare & Medicaid Services Coverage Decision
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