Grants and Contributions

To quantify the strength and nature of the immune response to COVID-19 infection after recovery, the proposed serological tests will measure SARS-CoV-2-reactive IgG and IgM antibodies by rapidly adapting a next-generation immunoassay. By the end of the proposed project, all clinical validation tests required by Health Canada for expedited approval will be complete.

Bringing the BOM under the control of the engineering department requires a restructure of the current file structure and adapting the processes that are currently in place. The new position will be used to help with the reorganization of the processes and file structure to enable the BOM to be completed within the engineering departments scope of work.

In light of the pandemic many of our clients are contacting us looking for our organization's help in regards to transforming their training delivery models. The purpose of the virtual training evaluation project is to establish criteria that will inform the feasibility of developing and/or incorporating addons/plugins for JKN's learning management system (ILIAS) to support innovative distance training solutions. We intend to explore and evaluate existing technologies related to distance learning such as virtual classrooms, offices, learning environments, assessments and communities of practice.

To establish a deep learning research project to use learning algorithms including NLP and Siamese Neural Network to create a software development tool plugin and personify the plugin from millions of master coders using their publicly available work in public repositories such as github. This plugin will in turn guide and assist software developers in real-time to develop high quality software using the same clean coding style learned from the master coders.

Develop a next generation herbicide product to partner with glyphosate that controls aggressive broadleaf weeds better than current products using novel precision chemistry.

Multi-phase CT Angiography (mCTA) is a novel and pragmatic approach to advanced stroke imaging that addresses many of the current limitations of CT Perfusion imaging, making it more accessible and easily implemented at front line stroke centers. Circle NVI, in collaboration with the Calgary Stroke program, is developing innovative machine-learning based software technology to predict measures of brain perfusion and tissue health from mCTA images of the brain, allowing clinicians to make quicker and more informed acute stroke treatment decisions.

The company offers a platform that allows clinicians and researchers to benefit from the power of genomic sequencing without the need for data analysis expertise. The goal of this project is to significantly improve the analysis pipeline by building and integrating automatic natural language processing tools for biomedical text exploration.

Develop a modularized solar PV system for small scale solar farms in snowy and windy climates. These micro-solar farms are designed to be used by commercial energy users with power bills between $500 and $5,000/month. They have a minimum 20 year life expectancy and produce electricity for less than $0.10kwh before the cost of financing.

This IRAP Project will help CPS R&D a prototype of a new series of printing production equipment.

In this project, we seek to research and strategize opportunities for licensing of LUCID technology and IP and Digital Music Therapy distribution, increasing firm visibility in domestic and international marketing, and unearth market insights for development and research team used to drive market success and prioritize the research and development pipeline.