Grants and Contributions

Project to support development of intellectual property capacity within the Firm.

QurCan Therapeutics is developing the next generation RNA therapeutics using its proprietary BBB-crossing nanoparticle platform technology to overcome the treatment-resistance in brain tumors.

CoreData is developing a SAAS based automated and enterprise information/data distribution software platform for multiple applications to facilitate accurate and fast business results.

Ripple Therapeutics Corporation is a clinical stage, privately held company that is focused on ophthalmic therapeutics with controllable, sustainable drug delivery. Scientific and engineering resources will perform work on
the development of a novel compound for the treatment of Neovascular age-related macular degeneration (nAMD). The project will require synthesizing novel compounds and performing materials characterization and in vitro evaluations to assess for potential lead compounds for the next stages of development.

This project digitizes PakFactory's core operating processes through development, integrations, and automations of software with MIS system.

Older adults experience barriers to achieving full postoperative potential during conventional, unsupervised in-home therapy, underscoring the need for innovative rehabilitation tools after total joint replacement (TJR). Before developing a vision-based in-home AR rehabilitation system to address this need, we must first understand the patient, condition, and needs. We will explore user perceptions, contexts, and preferences for an in-home rehabilitation system PAGE 4 after TJR; and obtain recommendations on user-interface design of the system. Our findings will guide NRC and collaborators in developing and implementing a prototype system. Long term, the system will support older adults to remain living at home by providing a user-applicable tool for rebuilding strength and mobility after a TJR procedure. Regaining sufficient mobility will increase participation in daily activities and in the community after TJR. Furthermore, monitoring for early signs of postoperative complications will ensure early treatment and medical intervention, avoiding crisis situations that may result in re-hospitalizations.

Develop Machine Learning model to build and test data against a Natural Language Processing pipeline to build the initial dataset. We will continue the process of annotating data and then looping it back through the system to verify results to provide unique content used in the Cometrics platforms.

Non-pharmacological interventions centered around lifestyle modifications constitute promising approaches to delay the onset or progression of neurodegenerative diseases impacting cognition. An important challenge for the implementation of such interventions is the ability to deliver them in an accessible PAGE 4 and ecological context. To address these challenges, mobile technologies have been increasingly used over the past decade to provide health-related assessments or interventions for older adults in their own living environment. The extent to which mobile assessments and interventions can be integrated to improve health outcomes deserves further investigation. In this project, we will investigate the feasibility and benefits of developing and using a digital phenotyping approach based on remote assessments of sleep and cognition in older adults in the community. We will then explore whether such digital phenotyping may improve the outcomes of a web-based intervention that was developed to promote better sleep and brain health in older adults. This phenotyping approach will allow to collect information on lifestyle factors such as sleep, passively using sensors and actively via short surveys and tasks. Using it, the CRIUGM will run several user-based studies and validate its feasibility with older adults. The integration of measures from the phenotyping approach into the web-based intervention platform is to be used to improve an online sleep-related intervention by tailoring it to the individual’s needs. In addition, it is expected that this integration between remote assessments and intervention will also improve personalized feedback to the user during the intervention, and therefore improve acceptability, engagement, and adherence of older adults to the intervention.

Feasibility study to develop a modular interface and generic new tools to enable non-contact scanning technology.

The MaRS Knowledge & Insights team aims to provide Clients with market research services that position them to succeed and scale. These research projects are designed to empower early-stage, high-growth potential companies to make data-driven decisions on strategies to increase revenue, expand market penetration, engage in and negotiate deals, and secure growth capital.