Alzheimer’s Prediction: QML - Neuroimaging & other Biomarkers

According to NIH, "The term “biomarker”, a portmanteau of “biological marker”, refers to a broad subcategory of medical signs - that is, objective indications of medical state observed from outside the patient - which can be measured accurately and reproducibly." (1)

In addition, Lippincott Nursing states, "Examples of biomarkers include everything from blood pressure and heart rate to basic metabolic studies and x-ray findings to complex histologic and genetic tests of blood and other tissues. Biomarkers are measurable and do not define how a person feels or functions." (2)

Here, ChemicalQDevice proposes the unique advantages that Quantum Machine Learning (QML) will offer to each of the three Biomarkers R&D for Alzheimer's Disease Early Detection/Prediction/Diagnosis.
1) Language Impairment
2) Blood/CSF
3) Neuroimaging

1) Language Impairment: Speech-to-text and neural network language prediction are being used for Alzheimer's Prediction. (3-4) Potential QML advantage: Hyperparameters optimized from NLP to a new QNLP hybrid model.

2) Blood/CSF: "Identifying Blood Biomarkers for Dementia Using Machine Learning Methods in the Framingham Heart Study." (5) Potential QML advantage: Support Vector Machine (SVM) method is upgraded to QSVM. A 2022 CSF (cerebrospinal fluid) FDA De Novo review is completed for Alzheimer's Disease pathology. (6)

3) Neuroimaging: "Artificial intelligence in brain MRI analysis of Alzheimer’s disease over the past 12 years: A systematic review" (7) "Automated Detection of Alzheimer’s via Hybrid Classical Quantum Neural Networks" (8) Quantum computer and sensors for future better MR Imaging analysis. (9) Potential QML advantage: Complexity and size advantage for brain/imaging data with scalable Quantum Convolutional Neural Networks (QCNNs).

Looking towards preliminary Quantum Incorporation in 2023-2024 in the extensive field of Alzheimer's Disease research, Multimodal Machine Learning studies will likely increase to include research for Clinical Applications, such as concatenation of MRI/CSF/Genetics Information (10). Multimodal ML November 2022 Review (Alzheimer's is the principal component) (11)

References:

Happy New Year!
CEO Kevin Kawchak
January 1, 2023
ChemicalQDevice