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Improving accuracy of coronary artery disease diagnosis with biomarker-based machine learning models


We hypothesize that by utilizing CatBoost and Convolutional Neural Networks (CNNs), biomarker and electrocardiogram-based machine learning models can predict whether a patient has coronar...
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CRISPR/Cas-9 Gene Editing: Making Porcine Xenotransplantation a Viable Treatment Option for End Stage Renal Disease


End Stage Renal Disease (ESRD): From 2000 to 2019, the incident count of newly diagnosed patients with ESRD (the final stage of Chronic Kidney Disease) has drastically increased from 94,...
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ADHD: How genetic predispositions and parental environment interact to impact the severity of ADHD


Section 1: Overview of ADHD ADHD affects around 6 million children between the ages of 3 and 17.1 Of the children diagnosed with ADHD, about 60% of them have symptoms that persist into a...
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CRISPR & Its Potential in Helping Blind People See


Introduction Loss of vision can be devastating for the patient and their family. Those gifted with the ability of sight might brush over just how fortunate we are in our ability to perce...
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Gene editing of Lipocalin-2: potential therapeutic implications for breast cancer


Introduction An estimated 150,000 women die annually as a result of triple-negative breast cancer (TNBC).3 This figure represents about 1 out of every 3 deaths of any form of breast canc...
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Cell-free DNA (cfDNA) as potential biomarker for disease and prenatal genetic screening.


Research on cfDNA reveals that it can be used as a biomarker, or indicator, for diseases with pathologies it directly contributes to, and its potential to be used to identify and monitor ...