Medicine and Health Sciences Commons^™

Machine Learning Approaches To Understanding And Predicting Cancer Screening Follow Through With Population And Health System Data, Matthew Davis

MUSC Theses and Dissertations

Introduction

Cancer is the second leading cause of death in the United States and cancer screening is a primary tool to reduce mortality. However, not all who are recommended to be screened actually follow through. This study investigates whether electronic medical record and geographic data is suitable to predict which patients are at risk of missing recommended screenings. The goal of this investigation is to design a data informed system that can automate the prediction of those at risk for missing screenings and provide insights into underlying reasons. This will enable resources to be focused to increase cancer screening adherence, …

Simultaneous Inhibition Of Erbb3 And Calmodulin-Mediated Signaling Effectively Inhibits Malignant Peripheral Nerve Sheath Tumor Proliferation And Survival, Laurel Black

MUSC Theses and Dissertations

Patients with Neurofibromatosis Type 1 have germline mutations in the neurofibromin gene (NF1) and are prone to develop tumors in the nervous system and elsewhere throughout their lifespan. Loss-of-function mutations of the remaining functional copy of the NF1 tumor suppressor gene in the Schwann cell lineage results in development of benign tumors known as dermal and plexiform neurofibromas. Mutations in additional tumor suppressor genes, like p53 and CDKN2A, subsequently transforms plexiform neurofibromas into highly aggressive malignant peripheral nerve sheath tumors (MPNSTs). At present, no effective treatments are available for MPNSTs, in fact some approaches make these tumors more aggressive. Since …