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Utilizing advances in computer processing power and machine learning methods, it is now possible to perform rigorous and comprehensive feature quantification of medical image data. While a recognized emerging technology within oncologic medicine, computerized analysis of histologic samples has thus far had minimal impact within cardiovascular medicine. In this presentation, Dr. Peyster will review the limitations of the current diagnostic standard for diagnosing allograft rejection, introduce the basic methodology underlying computational histologic analysis, and describe several novel applications demonstrating the translational potential of this technology in the era of precision medicine.

Department:  Spectrum: Center for Translational and Clinical Research and Education

Contact: Jessica P. Meyer | 6504986140 | jpmeyer@stanford.edu

Presenter(s):

• Eliot Peyster, MD Instructor, Advanced Heart Failure, Univ Penn

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