Quantum Machine Learning Neuroimaging for Alzheimer’s Disease

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Dear Colleague,

Next Discussion: “Quantum Machine Learning Neuroimaging for Alzheimer's Disease” Thursday 10/13 6:00pm PDT Episode 52; Registration is available Below (Live/Virtual)

Literature Review 1
► "The experimental analysis showed that hybrid classical–quantum neural networks are able to add value to the healthcare industry. They are able to speed up complex computational algorithms, showing high accuracy while also increasing the performance of the model."

Literature Review 2
► "As the modern advent of widespread classical ML arose at this point of abundant data, one could anticipate that ubiquitous access to quantum data in the fault-tolerant era could similarly propel QML to even greater widespread use."


#alzheimers, #endalzheimers, #endalz, #adni #dementia, #medicalimaging, #neuroimaging, #neuroradiology, #neuroscience, #pet, #mri, #ct, #quantum, #quantumimaging, #quantumsensors, #quantumcomputing, #quantumalgorithms, #algorithms, #quantummachinelearning, #errorcorrection, #nisq, #resnet, #supervisedlearning, #transferlearning, #machinelearning, #ml, #ai, #qml, #dl, #qmln, #quantumspeedup, #quantumadvantage, #quantumapplications, #startups

Sincerely,
CEO Kevin Kawchak
ChemicalQDevice
October 9th, 2022
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