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Articles 1 - 2 of 2
Full-Text Articles in Bioinformatics
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 …
Eeg As Successful Diagnostic Tool For Immune Effector Cell Associated Neurotoxicity Syndrome, Daniel Jones, Christine Eckhardt, Haoqi Sun, Ryan Tesh, Brandon Westover
Eeg As Successful Diagnostic Tool For Immune Effector Cell Associated Neurotoxicity Syndrome, Daniel Jones, Christine Eckhardt, Haoqi Sun, Ryan Tesh, Brandon Westover
Library/Life Sciences Undergraduate Poster Competition 2022
CAR T cell therapy was first proven effective in 20131 for the treatment of certain cancer s . However, its widespread adoption is still hindered by side effects like immune effector cell associated neurotoxicity syndrome (ICANS). Current research aims to better predict, diagnose, and treat ICANS so that CAR T cell therapy can be more widely applied. Although prior studies have attempted to identify an objective biomarker of ICANS2 , current practice relies on clinical assessment to diagnose ICANS. We hypothesize that qualitative features of the EEG may be utilized to develop a physiological grading system of the …