Optimizing Pretrained Clinical Embeddings for Automatic COVID-related ICD Coding

We are building a machine learning algorithm to be able to better understand the unstructured clinical notes that doctors write about patients. This will help hospitals and healthcare systems standardize and extract insights from these notes to make them more useful for determining how sick COVID patients are and how they are improving over time.

Read More
Development of Machine Learning Algorithms for Inferring Biomarkers Underlying Multi-Modal Physiological Signals of Patients with COVID-19

COVID-19 is a global pandemic disease and the best way to stop it is controlling its spread and treating the infected individuals. Detailed measures of clinical characteristics and outcomes in patients with COVID-19 like Reverse transcription-polymerase chain reaction (RT-PCR) are not accessible to a large population and require patients to spend hours waiting at the […]

Read More
North Perth Ontario: Developing a Response Plan

The consequences of the COVID-19 pandemic are far-reaching and extend beyond the spread of the disease and efforts to quarantine it. With emergency management efforts underway, opportunities exist to develop more effective and efficient response measures to increase the resiliency of our communities amidst this and future public health crises. Developing impactful resilience strategies requires […]

Read More
Food Convergent Innovation Canada Start-Up:Developing data and methods to support the digital backbone of the agri-food system in the Covid19 context

Food Convergence and Integrity (FCI) Canada is being formed to help agri-food companies mitigate the disruptions of Covid-19, increase interactions and innovations among Canadian agrifood companies and enable new agrifood business streams. Through its member platform, it will enhance resilience and competitiveness of the Canadian agri-food sector, resulting also in increased food security for Canadians. […]

Read More
Using Big Data to Chart Workplace Learning during COVID-19

In light of disruptions caused by COVID-19, companies employing frontline workers must balance health and safety with maintaining productivity to survive and thrive in an unpredictable economic climate. This picture is complicated by the need for rapid learning in new, redeployed, and longstanding employees. How is workplace learning impacted by the COVID-19 pandemic and how […]

Read More
IT Optimization and Strategic Planning Support Systems

The research will carried out in partnership with Tulkita Technologies. The company is interested in the market viability for a web-based tool supporting IT strategic planning and plan execution. To help establish the scope of needs that this tool should address, the research will focus on three key issues: IT governance, IT strategic planning and […]

Read More
Therapeutic Properties in Landscape Design

This research project aims to review, analyze and build upon the current body of knowledge concerning the therapeutic potential of landscape design. It will review the health outcomes of natural settings at healthcare facilities and examine the design processes behind these. Project partner Virginia Burt Designs is a leading practitioner in this aspect of the […]

Read More
Evaluation of the Neuro-Compensator Hearing Aid Relative to Wide-Dynamic RangeCompression Hearing Aids on the Restoration of Normal Auditory Perception

The purpose of the project is to compare how well the neuro-compensator (NC) hearing aid restores various aspects of auditory perception relative to a standard technology used in the industry, called wide-dynamic range compression (WDRC). Specifically, the intern will test individuals on their ability to comprehend speech, to make fine discriminations of musical sounds, and […]

Read More
Polyamide-Based Triboelectric Nanogenerator for High Performance Energy Harvesting & Self Powered Sensing Applications

Fast development of more powerful and smaller mobile electronics suggested the need for development of sustainable energy resources as well as innovative sensor systems with improved accuracy and reduced power consumption. Moreover, utilizing appropriate sustainable energy resources would be beneficial for environmental protection. Such demands resulted in a great interest toward development of the triboelectric […]

Read More
Improving protein-ligand binding models using multidimensional, mixed-confidence training data – Part 2

There currently are no approved treatments for COVID-19, as global case counts increase daily. High infectivity and long time-to-recovery for COVID-19 cases is straining health-care systems globally. There is an urgent need to discover therapeutics that treat patients and improve clinical outcomes. Research and Development timelines associated with vaccines and new chemical entities will not […]

Read More
Flexural behaviour of strengthened prestressed hollow-core slabFlexural behaviour of strengthened prestressed hollow-core slabs with bonded and unbonded prestressed carbon fiber reinforced polymer (CFRP) plates under various prestress levels.s with bonded and unbonded prestressed carbon fiber reinforced polymer (CFRP) plates under various prestress levels

The overall objective of this project is to enhance the strengthening efficiency of prestressed hollow-core slabs (PHCS) by using prestressed CFRP plates. More specifically, this project aims to investigate the behavior of the PHCS elements strengthened with prestressed CFRP plates. The application of the innovative patented anchor system developed at the University of Waterloo offers […]

Read More