Developing a Remote Search Engine for Histopathology Scans

The wide-spread adoption of digital pathology has opened new horizons for histopathology. Artificial intelligence (AI) algorithms are able to operate on digitized slides to assist pathologists with different tasks. Whereas AI involving classification and segmentation methods have obvious benefits for image analysis, image search represents a fundamental shift in computational pathology. Image-based search for digitized […]

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SOTI SNAP Widget SDK Front-end and User Interface Toolkit

SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge. SOTI SNAP allows users to create apps by dragging and dropping widgets onto a canvas and connecting them together to create an app. With SOTI SNAP apps can be created in minutes and […]

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SOTI SNAP Widget SDK Back-end Deployment

SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge. SOTI SNAP allows users to create apps by dragging and dropping widgets onto a canvas and connecting them together to create an app. With SOTI SNAP apps can be created in minutes and […]

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Development of Optical Clearing Materials Towards Oral Lesion Pathology Screening with Optical Coherence Tomography

The early identification of oral cancers will help to reduce serious complications and death associated with these diseases. Currently, identification of cancerous tissues relies significantly on visual identification during oral exams before more accurate further testing is performed. The use of optical coherence tomography (OCT) has allowed for more accurate initial identification of cancerous tissues, […]

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Improvement of covid-19 treatment with machine learning

Currently, testing the population more at risk to be severely ill is a cumbersome process. There is a limit to the capacity and the resources of the healthcare system that show a need to be more efficient in discovering infected person. Being able to quickly detect infected person helps reduce the risk of infecting others […]

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Pattern Recognition and Event Forecasting to Increase the Performance of Industrial Bioprocesses, in an Effort to Accelerate the Sustainable Development of the Transformation Industry

The first objective is to use ML to reduce the modeling error in predicting the end-of-growth of a batch, reducing the emission of CO2 and water consumption of synthesized products. The second objective is to formulate the algorithms to facilitate its integration into our analytics solution. The third objective is to validate shared learning when […]

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Generating a COVID-19 vaccine using ministring DNA and virus-like particles

The COVID-19 pandemic is a global health crisis on an unprecedented scale, with over 1 million confirmed cases, spread over 200 countries. With the world at a virtual standstill, and no existing treatments, there is an enormous need for novel therapeutics and vaccines to combat COVID-19. Our group is working on a DNA vaccine strategy […]

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COVID-19 Monitor: a rolling public opinion study on the dynamics of the pandemic

This project will undertake a year-long rolling study of public opinion across eight countries—Canada, the United States, the United Kingdom, Australia, New Zealand, France, Germany and Brazil. It will measure the health, social, and economic impacts of COVID-19 throughout the duration of the pandemic and during its immediate aftermath. The study will be comprised of […]

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