Life Sciences Commons^™

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 …

Neurodevelopmental Vulnerability To Gestational Ozone Exposure, Vishnupriya Alavala, Sarah E. Brent, Christopher G. Canal, Joseph Wang, Russell P. Hunter, Matthew J. Campen, Andrew K. Ottens

Undergraduate Research Posters

Ambient air pollution accounts for about 4.2 million premature deaths annually per the World Health Organization. Ozone (O3) is a highly reactive air pollutant found in smog and is implicated in cellular damage leading to organ dysfunction. Ambient air pollution is associated with neurodevelopmental, behavioral, and cognitive disorders though ozone’s role is unknown. Studies here look at ozone exposure shortly after implantation vs. shortly before term to evaluate differences in neurodevelopmental susceptibility over time.

To inquire on the effects of ozone on the fetal brain, pregnant Sprague-Dawley rats were exposed once to 0.3 ppm of O3 or filtered air (FA) …