Publications
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Optical Spectroscopy as a Method for Skin Cancer Risk Assessment
Eladio Rodriguez-Diaz, Danielle Manolakos, Holly Christman, Michael A Bonning, John K Geisse, Ousama M A'Amar, David J Leffell, Irving J Bigio (2019)
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Elastic Scattering Spectroscopy in Assessing Skin Lesions: An "In Vivo" Study
Tahwinder Upile 1, Waseem Jerjes, Hani Radhi, Jaspal Mahil, Anuja Rao, Colin Hopper (2011)
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T Upile, Waseem Jerjes, O Johal, Simione Lew-Gor, J Mahil, Holger H Sudhoff (2012)
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J. J. Scarisbrick, C. D. O. Pickard, Andrew C. Lee, Gavin M. Briggs, Kristie Johnson, Stephen G. Bown, Marco Novelli, M. R. S. Keshtgar, Irving J. Bigio, R. Yu (2003)
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Ousama M. A'amar, Ronald D. Ley, Irving J. Bigio (2004)
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Spectroscopic Sensing of Cancer and Cancer Therapy: Current Status of Translational Research
Irving J Bigio 1, Stephen G Bown (2004)
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Real-time pathology to guide breast surgery: seeing alone is not believing
Irving J Bigio (2012)
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The Color of Cancer: Margin Guidance for Oral Cancer Resection Using Elastic Scattering Spectroscopy
Gregory A Grillone, Zimmern Wang, Gintas P Krisciunas, Angela C Tsai, Vishnu R Kannabiran, Robert W Pistey, Qing Zhao, Eladio Rodriguez-Diaz, Ousama M A'Amar, Irving J Bigio (2017)
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Jennifer E Rosen, Hyunsuk Suh, Nicholas J Giordano, Ousama M Aamar, Eladio Rodriguez-Diaz, Irving I Bigio, Stephanie L Lee (2014)
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Endoscopic Histological Assessment of Colonic Polyps by Using Elastic Scattering Spectroscopy
Eladio Rodriguez-Diaz, Qin Huang, Sandra R Cerda, Michael J O'Brien, Irving J Bigio, Satish K Singh (2014)
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Paul Bruner, Benjamin Bashline (2019)
CLAIMS #1 - “faster [and easier] route to reliable information”
SUBSTANTIATION: “Faster” when compared to other technologies that require extensive training, skin preparation and/or image interpretation. "ESS requires no skin preparation and is easy to administer, requiring minimal practitioner training. [It] generates a simple dichotomous output in a non-invasive way." (Rodriguez-Diaz et al (Photochemistry and Photobiology, 2019) https://onlinelibrary.wiley.com/doi/abs/10.1111/php.13140).
SUBSTANTIATION: “reliable information” – Published data on DermaSensor’s ESS and Machine Learning technology shows sensitivity >90% across all skin cancers combined (Rodriguez-Diaz et al (Photochemistry and Photobiology, 2019) https://onlinelibrary.wiley.com/doi/abs/10.1111/php.13140).
CLAIMS #2 - “Smarter clinical choices”
SUBSTANTIATION: DermaSensor’s ESS and Machine Learning technology sensitivity in published data surpasses the sensitivity of naked eye examination for skin cancers, while decreasing the morbidity associated with skin cancers . In a published 2018 meta-analysis physician naked eye sensitivity was greater than 90% in only six of 28 in‐person‐based evaluations and physician experience may influence accuracy. (“Diagnosing skin cancer.” Posted December 6, 2018. https://onlinelibrary.wiley.com/doi/abs/10.1111/php.13140).
CLAIM #3 - “DermaSensor is the new, quicker route to better outcomes”
CLAIM #4 - “Enabling early detection using non-invasive spectroscopy”
SUBSTANTIATION: “Quicker” when compared to other technologies that require extensive training, skin preparation and/or image interpretation. "
SUBSTANTIATION: “route to better outcomes” and "Enabling early detection"– Published data on DermaSensor’s ESS and Machine Learning technology shows sensitivity >90% across all skin cancers combined (Rodriguez-Diaz et al (