THE USE OF WEARABLE VITAL SIGNS SENSOR TECHNOLOGY FOR EARLY PHYSIOLOGICAL DETECTION AND TRACKING OF VIRAL RESPIRATORY TRACT INFECTIONS

BACKGROUND: Viral respiratory tract infection (VRTI) is the most common illness in humans, resulting in a total economic impact of $40 billion annually in the United States. Taking into consideration the current novel coronavirus pandemic – impacting billions of people around the world, compromising the global economy, and putting extreme pressure on healthcare systems – […]

Read More
The Use Of Wearable Vital Signs Sensor Technology For Early Physiological Detection And Tracking Of Viral Respiratory Tract Infections – Year two

BACKGROUND: Viral respiratory tract infection (VRTI) is the most common illness in humans, resulting in a total economic impact of $40 billion annually in the United States. Taking into consideration the current novel coronavirus pandemic – impacting billions of people around the world, compromising the global economy, and putting extreme pressure on healthcare systems – […]

Read More
Traitement de signal et apprentissage machine appliqués à une technologie tactile par ondes guidées ultrasonores

De nouvelles applications de surfaces interactives sont en plein essor telles que les écrans tactiles surdimensionnés et complètement transparents, des éléments d’habitacles interactifs dans les véhicules autonomes ou encore du mobilier interactif. Pour de telles applications, les technologies tactiles actuelles (capacitive, résistive, infrarouge) ne s’appliquent pas ou deviennent trop coûteuses. Une nouvelle technologie tactile par […]

Read More
Elaboration of a high-throughput toolbox for analysis and visualization of mesoscale longitudinal cortical imaging dataset

In recent years, a dramatic increase in computer processing power and storage allowed the exploration of new frontiers in science by analyzing large, complex datasets. The field of neuroscience is evolving towards larger and more complex studies creating a huge amount of data that is hard to understand using classical analyses. Thus, the development of […]

Read More
Elaboration of a high-throughput toolbox for analysis and visualization of mesoscale longitudinal cortical imaging dataset – Year two

In recent years, a dramatic increase in computer processing power and storage allowed the exploration of new frontiers in science by analyzing large, complex datasets. The field of neuroscience is evolving towards larger and more complex studies creating a huge amount of data that is hard to understand using classical analyses. Thus, the development of […]

Read More
Antioxidants render silicone elastomer surfaces antiviral

Viruses are susceptible to antioxidants. COVID-19, to which the grant is directed, is also affected by surface active species, like soap. These two vulnerabilities of the virus will be combined to create silicone coatings that will render relevant surfaces anti-viral (e.g., doorknobs, facemasks and shields). Antioxidants will be modified with entities that allow them to […]

Read More
Adapting Maxwellian’s surface plasmon resonance optical sensor platform for COVID detection

To control and thwart the COVID19 pandemic, significant efforts are being deployed to adapt existing diagnostic tests, including those that use the standard reverse transcription polymerase chain reaction (RT-PCR) method, to detect the SARS-COV-2 virus. Despite its high sensitivity and ability to detect small virus amounts in samples, RT-PCR is time consuming and subject to […]

Read More
Photoelectrochemical biosensing for COVID-19: virus and antibodies

This project aims to develop a Photoelectrochemical (PEC) biosensor based on photoactive nanoparticles such as Quantum Dots (QDs) for the detection of COVID19 and related antibodies. Highly efficient QDs based on engineered core/multi-shelled structures will be developed and their interaction with a molecular recognition element (MRE) layer will be investigated. A consistent structure-property picture of […]

Read More
Real-time COVID-19 detection in wastewater from long-term care homes

The goal of the partnership between Mantech and Waterloo is to develop a technology to manufacture smart hybrid water sensors for current and future disease prediction and detection. This technology will have an invaluable impact on human health research efforts to contain the COVID-19 and possible future pandemic spread, and put Ontario and Canada far […]

Read More
The application and validation of predictive models to establish indices of protein quality in companion animal feed ingredients

This project will result in the generation of mathematical models that will predict the quality and sustainability of protein-based ingredients that are commonly used in dog diets. With the projected growth of human and pet populations, and increases in food production necessary to meet growing demands, providing Canadian pet food companies (such as our industry […]

Read More
Techna Guided Therapeutics Cluster

The Guided Therapeutics (GTx) Core of the Techna Institute is developing innovative imaging technology and therapeutic approaches, and translating those advances to commercial and clinical applications. Working with our industrial partners Precision X-Ray and Elekta, the Mitacs-supported interns will develop new capabilities and tools for preclinical image-guided radiation therapy devices and radiosurgical techniques. With Precision […]

Read More