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A non-invasive software/CAD system for early and precise identification of renal allograft dysfunction
Mohamed Shehata
Ph.D. Candidate, University of Louisville
Mohamed Nazih Shehata is a software engineer operating in the US. His innovation is a non-invasive software/CAD system allowing early and precise identification of renal allograft dysfunction. He is a PhD candidate at the Computer Science and Computer Engineering Department at the University of Louisville, KY USA, where he also received his master’s, and has a bachelor’s from the Department of Computer Engineering and Control Systems from Mansoura University, Egypt. His work with BioImaging Lab has allowed him to create a system that integrates various biomarkers and obtain a final diagnosis of rejection or non-rejection of the graft in a manner that is non-invasive, rapid, accurate, and inexpensive. It reduces dependence on invasive procedures such as biopsies, while allowing doctors to more rapidly respond to their patient’s changing requirements.
Mohamed Nazih Shehata is a software engineer operating in the US. His innovation is a non-invasive software/CAD system allowing early and precise identification of renal allograft dysfunction. He is a PhD candidate at the Computer Science and Computer Engineering Department at the University of Louisville, KY USA, where he also received his master’s, and has a bachelor’s from the Department of Computer Engineering and Control Systems from Mansoura University, Egypt. His work with BioImaging Lab has allowed him to create a system that integrates various biomarkers and obtain a final diagnosis of rejection or non-rejection of the graft in a manner that is non-invasive, rapid, accurate, and inexpensive. It reduces dependence on invasive procedures such as biopsies, while allowing doctors to more rapidly respond to their patient’s changing requirements.
نستخدم ملفات تعريف الارتباط لتحسين تجربتك، استمرار استخدامك للموقع يعني موافقتك على ذلك. سياسة الخصوصيةأوافقX
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