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Full-Text Articles in Medical Neurobiology
Utilizing Ai Integrated Neuroimaging Technology To Expand Upon Machine Learning In Positron Emission Tomography Technology With The Aim Of Detecting Amyloid Beta Biomarkers Early In The Onset Of Alzheimer's., Ethan S. Terman
Undergraduate Research Posters
Early intervention in Alzheimer's is vital for treatment. The earlier a professional can detect symptoms and make a diagnosis the earlier a prognosis can be implemented. With the prevalence of data in our day-to-day world combined with Artificial intelligence (AI), utilizing both for machine learning can pave the way for more accurate and efficient detection of Alzheimer's and other neurodegenerative diseases. AI combined with Machine learning (ML) increases diagnostic efficiency and reduces human errors, making it a valuable resource for physicians and clinicians alike. With the increasing amount of data processing and image interpretation required, the ability to use AI …
An Evaluation Of Alzheimer's Disease-Related Pathology In Two Different Models Of Diabetes In Immune-Challenged Mice, Andrew Scott Murtishaw
An Evaluation Of Alzheimer's Disease-Related Pathology In Two Different Models Of Diabetes In Immune-Challenged Mice, Andrew Scott Murtishaw
UNLV Theses, Dissertations, Professional Papers, and Capstones
Obesity, type 2 diabetes mellitus (T2DM), and metabolic syndrome are related disorders with wide-ranging and devastating effects that can be observed throughout the body. One important and understudied organ of damage is the brain. Clinical and epidemiological studies have found that T2DM, and more specifically hyperinsulinemia, significantly increases the risk of cognitive decline and increases the likelihood of Alzheimer’s disease (AD) and other forms of dementia in the elderly. Insulin has slightly different functions in the peripheral body than in the central nervous system and the dysregulation of these functions may contribute to the onset and progression of late-life neurodegenerative …
Enhanced Cgmp-Dependent Signaling In Astrocytes: Novel Therapeutic Target In Alzheimer's Disease, Nyema M. Woart
Enhanced Cgmp-Dependent Signaling In Astrocytes: Novel Therapeutic Target In Alzheimer's Disease, Nyema M. Woart
PCOM Biomedical Studies Student Scholarship
Over five million Americans suffer from Alzheimer’s Disease (AD), with an expected 34% increase in the incidence in this disease over the next decade. Unfortunately, there is no cure for AD. Recent studies have indicated that drugs which increase the levels of cyclic guanosine-3’5’-monophosphate (cGMP) may help preserve learning and memory in AD and enhance cognition in the aging brain; however, the mechanism(s) of how cGMP exerts this beneficial effect is unknown. The present findings now suggest that elevation of cGMP in astrocytes depresses inhibitory potassium currents in these cells to stimulate their protective influence on neuronal activity. Cellular currents …
Analysis Of Differential Mrna And Mirna Expression In An Alzheimer’S Disease Mouse Model, Amanda Hazy, Matthew Dalton
Analysis Of Differential Mrna And Mirna Expression In An Alzheimer’S Disease Mouse Model, Amanda Hazy, Matthew Dalton
Other Undergraduate Scholarship
Research has shown that changes in gene expression play a critical role in the development of Alzheimer’s Disease (AD). Our project will evaluate genome-wide RNA expression patterns from brain and blood in an AD mouse model. This analysis will provide insight regarding the mechanisms of AD pathology as well as determine a possible diagnostic tool utilizing RNA expression patterns found in the blood as biomarkers for AD.