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Full-Text Articles in Medical 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 …
Infiltrating Cd8+ T Cells Exacerbate Alzheimer’S Disease Pathology In A 3d Human Neuroimmune Axis Model, Jefin Jose, Devam Purohit
Infiltrating Cd8+ T Cells Exacerbate Alzheimer’S Disease Pathology In A 3d Human Neuroimmune Axis Model, Jefin Jose, Devam Purohit
VCU's Medical Journal Club: The Work of Future Health Professionals
In this study, Jorfi et al. employed a neuroimmune axis model containing neurons, astrocytes, and microglia to examine the role of immune cells in Alzheimer's disease. Jorfi et al. found that T cells selectively infiltrated the BRAIN compartment of the neuroimmune axis model as compared to B cells and monocytes. Jorfi et al. further found that CD8+ T cells demonstrated heightened cytotoxicity in the Alzheimer's disease brain, illuminating the role of immune cells in neurodegeneration. Upon further examination, the CXCR3-CXCL10 signaling pathway was found to have an important role in inflammation.