Application of Machine Learning and Metabolomics in Alzheimer’s Disease

Application of Machine Learning and Metabolomics in Alzheimer’s Disease


Title: Application of machine learning and Metabolomics in Alzheimer’s Disease
Author: Jiaao Chen
Course: CISC 499

Description: Alzheimer’s disease is a neurodegenerative disorder that currently affects half a million Canadians and over 35 million people worldwide. Metabolomic is the study of an entire set of metabolites in a tissue or body fluids like blood or CSF (cerebrospinal fluid) and provides the complete overview of the status of the tissue. Metabolomic is the perfect tool to understand the complex biochemical and biological mechanism of the disease pathology with biomarkers in this case Alzheimer’s disease.

View Poster (PDF)

 

Doug Martin

Systems Specialist, School of Computing, Queen's University