Browsing by Thesis Department "Biomedical and Health Informatics (UMKC)"
Now showing items 1-7 of 7
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A Method for Identification of Pancreatic Cancer through Methylation Signatures in Cell-Free DNA
(2022)Pancreatic cancer has high mortality rates in comparison to other cancers due to limited treatment options and challenges in detecting the disease. Early diagnosis is difficult; successful outcomes are directly tied to ... -
Bugs, Drugs and Data: Antibiotic Resistance, Prevalence and Prediction of Bug-Drug Mismatch using Electronic Health Records (EHR) Data
(2021)Bug-Drug Mismatch (BDM) occurrences are an important and modifiable category of inappropriate antibiotic therapy (IAAT) that increases adverse outcomes for patients and drives overall antibiotic resistance (AR). Surveillance ... -
Convolutional Neural Networks for Early Diagnosing of Breast Cancer
(2022)Due to the high demand for mammograms, radiologists are swamped with many patients' mammograms. Radiologists' workload has increased dramatically over the last 15 years during on-call hours. This rise is due to an increase ... -
Discovery of Peptide and Aptamer Ligands for Targeted Drug Delivery to Hepatic Stellate Cells
(University of Missouri--Kansas City, 2016)The objective of this dissertation is to present two approaches to identify Hepatic Stellate Cells (HSCs) targeting ligands using phage-display library biopanning and systematic evolution of ligands by exponential ... -
Evaluating the Ergonomics of Healthcare Providers using Kinematic Motion Analysis, Electromyography, and Musculoskeletal Modeling
(University of Missouri -- Kansas City, 2018)Work-related musculoskeletal disorders (MSDs) in healthcare providers have been heavily reported, and are a major cause of occupational discomfort, disability, and occupational absence. Current evaluation methodology of ... -
FedSmarteum: Secure Federated Matrix Factorization Using Smart Contracts for Multi-Cloud Supply Chain
(2021)With increased awareness comes unprecedented expectations. We live in a digital, cloud era wherein the underlying information architectures are expected to be elastic, secure, resilient, and handle petabyte scaling. The ... -
Identification of Cell Types that Define Embryonic Submandibular and Parotid Salivary Glands Using Single Cell RNA Sequencing
(University of Missouri -- Kansas City, 2019)Branching organs including the kidney, mammary, and salivary glands arise as epithelial buds that are morphologically very similar. However, the mesenchyme is known to guide epithelial morphogenesis and to help govern ...