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Articles 1 - 2 of 2
Full-Text Articles in Life Sciences
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 …
Type Three Diabetes: Are You At Risk? A Systematic Review, Mary Ellen Yep
Type Three Diabetes: Are You At Risk? A Systematic Review, Mary Ellen Yep
All Student-Created Educational Resources
To develop a possible framework for informing patients with type two diabetes of their potential risk of dementia, specifically Alzheimer’s Disease. Since type two diabetes is still on the rise, this could implicate a major increase in dementia across the population. Implications to assess the public of this research to promote awareness of the risks of type 3 diabetes.