Neurodegenerative Disease Predictive Analytics using Machine Learning
$245,000.00
Grant Value
2018-19
Fiscal Year
Description
Project is to develop a system that identifies biomarkers to predict Alzheimer Disease, a few years before the actual symptoms of the Neurodegenerative Disease (NDD) are fully apparent. Machine Learning algorithms will be used on collected sensor data, recorded by ROVER, a wearable gait analysis device developed by Sensoplex. The algorithms compare walking motion data of patients who have been diagnosed with Mild Cognitive Impairment (MCI) or Alzheimer Disease (AD) against healthy individuals of same age and gender to find digital biomarkers that separate healthy subjects form the patients with MCI or AD.
Expected Results
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Why This Grant is Notable
Contains keyword: gender
Grant Details
Recipient
Sensoplex Canada Inc.
Location
Calgary, AB T2M 0M6
Agreement Details
Number: 911107
Reference: legacy_2018-19_911107
Timeline
Start: Aug. 1, 2018
End: Jan. 31, 2020
Program
Industrial Research Assistance Program Contributions to Firms
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or …
Sector
Wholesale trade (417310)
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