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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Prediction of prognosis in oral squamous cell carcinoma using infrared microspectroscopy
1 INTRODUCTION Oral squamous cell carcinoma (OSCC) is the eighth most common form of cancer in the United Kingdom,1 and the incidence continues to increase.2 Therapy is primary surgical ablation, reconstruction as required, and adjuvant radiotherapy or chemoradiotherapy tailored to pathological analysis and staging of the resection specimen.
Metric-based analysis of FTIR data to discriminate tissue types in oral cancer
Metric-based analysis of FTIR data to discriminate tissue types in oral cancer Barnaby G Ellis, James Ingham, Conor Whitley, Safaa Al Jedani, Philip Gunning, Peter Gardner, Richard Shaw, Steve Barrett, Asterios Triantafyllou, Janet Risk, Caroline Smith and Peter Weightman Abstract A machine learning algorithm (MLA) has predicted the prognosis of oral potentially malignant lesions and discriminated between lymph node tissue and metastatic oral squamous cell carcinoma (OSCC).
Prediction of malignant transformation in oral epithelial dysplasia using infrared absorbance spectra
Loading metrics Open Access Peer-reviewed Research Article Barnaby G. Ellis, Conor A. Whitley, Asterios Triantafyllou, Philip J. Gunning, Caroline I. Smith, Steve D. Barrett, Peter Gardner, Richard J. Shaw , Peter Weightman, Janet M. Risk Barnaby G. Ellis, Conor A. Whitley, Asterios Triantafyllou, Philip J. Gunning, Caroline I. Smith, Steve D. Barrett, Peter Gardner, Richard J. Shaw, Peter Weightman, Janet M.
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