Medicine and Health Sciences Commons^™

Employing A Machine Learning Approach In Precision Oncology To Predict Pik3ca Functional Status And Identify Phenocopying Variants Of Deleterious Pik3ca Mutations, Javier Castillo

CMC Senior Theses

The following proposal describes a modular machine learning approach that detects malfunctioning genes and pathways in cancer using the transcriptome of cancer patients. The transcriptome is underused in precision oncology and, combined with machine learning, can aid in the identification of hidden responders. Applied to the PI3K/AKT/mTOR pathway, this method can be used to predict PIK3CA functional status and identify phenocopying variants of deleterious PIK3CA mutations. The classifier will do this by integrating RNA-seq, copy number, and mutation data from tumors to determine the functional status of PIK3CA using a set of learned gene-specific weights. The classifier will then be …

Harnessing Antagonistic Pleiotropy: Tolc-Dependent Coliphages Can Drive Reduced Antibiotic Resistance In E. Coli, Cooper Mckenna

CMC Senior Theses

The rise of multidrug-resistant (MDR) bacterial pathogens has been a growing concern in healthcare around the world, and bacteriophage (phage) therapy is a promising method to combat MDR infections. One defense mechanism of E. coli against antibiotics is the TolC-AcrAB efflux pump. At the same time, some phages use TolC as a surface receptor to infect the cell. This puts TolC at a crossroads in which it is beneficial to the bacteria to protect against antibiotics but harmful by allowing phage infection, creating the potential for evolutionary trade-offs. Previous research has identified only three TolC-dependent phages and shown phage-resistant E. …

Exploring The Impact Of Caffeine, Alcohol, And Opioids On Intraocular Pressure: A Comprehensive Analysis Of Short-Term And Long-Term Effects On Vision, Jake Prieto

CMC Senior Theses

Coffee, alcohol, and opioids are addictive drugs commonly used in modern society, yet their impact on ocular health remains ambiguous. This systematic review aims to elucidate this ambiguity by examining their effects on intraocular pressure (IOP). Utilizing IOP as a metric, both short-term and long-term effects are evaluated across individuals with irregular IOP levels and healthy subjects. Furthermore, the study analyzes choroidal thickness as an additional measure to reinforce or challenge the findings regarding IOP, leveraging the inverse relationship between the two metrics concerning elevated IOP-related illnesses, such as open-angle glaucoma (OAG).

A comprehensive literature search was performed through Google …

Gut Dysbiosis Correlates With Covid-19 Severity, Ednita Escobar

CMC Senior Theses

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) impacts not only respiratory but also gut and oral microbiomes, influencing the manifestations of COVID-19. Each person’s unique microbiome consists of microorganisms such as bacteria, fungi, and viruses, some of which are symbiotic and others potentially harmful. Alterations in the gut microbiome, specifically, can affect the severity and symptoms of COVID-19. A review of studies indicate a pattern of gut dysbiosis in COVID-19 patients characterized by a decrease in beneficial microbiota and/or an increase in opportunistic pathogens. This gut imbalance correlates with disease severity, suggesting that the gut microbiome plays a significant role …

Driven By Change: The Impact Of Macroeconomic Shifts And Covid-19 On New Vehicle Sales, Jackson Aldrich

CMC Senior Theses

This paper examines the impact of macroeconomic factors and the COVID-19 pandemic on new vehicle sales. In order to address these two topics, a two-pronged approach was used with separate regression models. The macroeconomic variables include monthly supply of new homes, CPI for urban public transportation, unemployment rate, disposable personal income, inflation expectation, consumer sentiment, average gas prices, and total vehicle miles traveled which were regressed on total vehicle sales from 1978-2022. The regression results confirmed and supported current literature and highlighted the importance of the housing market and unemployment rate on new vehicle sales. The COVID-19 pandemic model variables …