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Explore the potential of Quantum Machine Learning (QML) in neuroimaging for Alzheimer's prediction in this comprehensive 1-hour video presentation. Delve into recent advancements in hybrid classical-quantum neural networks and their application in automated Alzheimer's detection. Learn about Pennylane's quantum machine learning circuits and their reported improvements in classification accuracy. Gain insights into the business applications of QML neuroimaging and startup opportunities in this emerging field. Discover the background of Alzheimer's Disease, recent neuroimaging developments, and the potential impact of QML in healthcare. Examine prospective FDA approval factors and the case for quantum machine learning in neuroimaging. Access additional resources, including slide decks, research papers, and relevant links to further explore this cutting-edge intersection of quantum computing and medical diagnostics.
Syllabus
Classification & QML Neuroimaging for Alzheimer’s Prediction
Taught by
ChemicalQDevice