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A Neutrosophic Clinical Decision-Making System For Cardiovascular Diseases Risk Analysis, Florentin Smarandache, Shaista Habib, Wardat-Us- Salam, M. Arif Butt, Muhammad Akram Aug 2020

A Neutrosophic Clinical Decision-Making System For Cardiovascular Diseases Risk Analysis, Florentin Smarandache, Shaista Habib, Wardat-Us- Salam, M. Arif Butt, Muhammad Akram

Branch Mathematics and Statistics Faculty and Staff Publications

Cardiovascular diseases are the leading cause of death worldwide. Early diagnosis of heart disease can reduce this large number of deaths so that treatment can be carried out. Many decision-making systems have been developed, but they are too complex for medical professionals. To target these objectives, we develop an explainable neutrosophic clinical decision-making system for the timely diagnose of cardiovascular disease risk. We make our system transparent and easy to understand with the help of explainable artificial intelligence techniques so that medical professionals can easily adopt this system. Our system is taking thirtyfive symptoms as input parameters, which are, gender, …


Screening And Characterization Of A Pan-Gtpase Inhibitor, Leyla Akhadov May 2020

Screening And Characterization Of A Pan-Gtpase Inhibitor, Leyla Akhadov

Biomedical Engineering ETDs

Abnormal functioning of small GTPases is implicated in a variety of diseases, ranging from neurological and developmental diseases to cancer. In fact, mutant GTPases are found in up to 30% of cancers. Thus, small GTPases are a highly relevant target in drug discovery and development. High-throughput targeted screening of small molecules is the most productive method of discovering compounds that can give insights into drug development. This thesis describes improvements made to a high-throughput GTPase-targeted screening method to minimize confounding systematic error. It also describes the follow-up characterization of a compound that was identified in a high-throughput screen. The compound …