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Full-Text Articles in Medicine and Health Sciences
Inhibiting Nitroso Related Methylation Of Guanine Using Dietary Supplements And Flavonoids, Hannah Klose, Madeline Mccoy, Mary Hall
Inhibiting Nitroso Related Methylation Of Guanine Using Dietary Supplements And Flavonoids, Hannah Klose, Madeline Mccoy, Mary Hall
Liberty University Research Week
Undergraduate
Basic
Evaluation On Appropriateness Of Fluoroquinolone Use In An Acute Care Hospital, Cynthia Huang
Evaluation On Appropriateness Of Fluoroquinolone Use In An Acute Care Hospital, Cynthia Huang
Annual Research Symposium
No abstract provided.
Participation In Curriculum And Cultural Ambassador Group To Enhance Student Belongingness, Jake Tuft, Jacob Schvaneveldt
Participation In Curriculum And Cultural Ambassador Group To Enhance Student Belongingness, Jake Tuft, Jacob Schvaneveldt
Annual Research Symposium
COVID-19 negatively impacted students' abilities to participate in live, in-person events; students were unable to interact with peers or build relationships critical to success and well-being. Quarantine, social distancing and video conferencing did not create this problem however, it simply amplified the fact that dental students seemingly lack camaraderie and a sense of belongingness. The Curriculum and Cultural Ambassador group was created to allow students to bond over shared goals in the hopes of improving their experiences within dental school. This group gives students the ability to “Be the Change” on campus and enact real-time change to foster a sense …
Combination Chemo-Pdt Ionic Nanomedicines As Enhanced Therapeutics For Cancer, Samantha Macchi
Combination Chemo-Pdt Ionic Nanomedicines As Enhanced Therapeutics For Cancer, Samantha Macchi
Arkansas Women in STEM Conference
Cancer remains as one of the leading causes of death in humans worldwide. Nanotechnology has made great strides in improving treatment for the disease. This work describes a simplistic approach to design self-assembled combination nanomedicines. A facile one-step ion exchange reaction is utilized to combine a chemotherapeutic (phosphonium) cation and photodynamic therapeutic (porphyrin) anion. An aqueous nanomedicine is prepared from the hydrophobic ionic combination drug via a single-step reprecipitation method. Upon conversion to ionic combination drug, improved photophysical properties of porphyrin were observed. These characteristics subsequently led to increased photodynamic therapeutic activity of nanomedicines—explained by greater singlet oxygen quantum yield. …
Ingredient Classification Using Food Ontology, Ricky Flores
Ingredient Classification Using Food Ontology, Ricky Flores
UNO Student Research and Creative Activity Fair
A food label provides some of the most crucial information for a food product. The food label is a key resource for many health-conscious consumers for understanding ingredients. It is also vital for individuals to avoid food allergens or help patients follow dietary recommendations. While the food labels in the United States are regulated by the Food and Drug Administration (FDA) many labels contain additional information or statements that are not regulated. Moreover, the food label may be complex or contain terminology that the layperson may not understand. Evidence has indicated that consumers often find nutrition labels confusing, especially when …
Seizure Prediction In Epilepsy Patients, Gary Dean Cravens
Seizure Prediction In Epilepsy Patients, Gary Dean Cravens
NSU REACH and IPE Day
Purpose/Objective: Characterize rigorously the preictal period in epilepsy patients to improve the development of seizure prediction techniques. Background/Rationale: 30% of epilepsy patients are not well-controlled on medications and would benefit immensely from reliable seizure prediction. Methods/Methodology: Computational model consisting of in-silico Hodgkin-Huxley neurons arranged in a small-world topology using the Watts-Strogatz algorithm is used to generate synthetic electrocorticographic (ECoG) signals. ECoG data from 18 epilepsy patients is used to validate the model. Unsupervised machine learning is used with both patient and synthetic data to identify potential electrophysiologic biomarkers of the preictal period. Results/Findings: The model has shown states corresponding to …