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 […]

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Privacy-preserving Federated Learning Algorithms and Dashboarding to enable COVID-19 health analysis

This research project will enable Krate Distributed Information Systems Inc. (Krate) to provide two software as a service (SaaS) cloud products that will integrate with the distributed computer platform of fellow startup Distributed Compute Labs (DCL) to aid COVID-19 researchers. DCL’s distributed computer is in use by scientists and researchers across Canada (this company’s product […]

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Développer une nouvelle génération d’agent cognitif avec raisonnement intégré : un pas vers l’identification des facteurs causaux de la COVID-19.

Bien que des systèmes de monitoring des patients existent déjà, leur accessibilité est souvent limitée en milieu hospitalier, réservé aux soins aigus. De plus, ils sont de nature particulièrement encombrante de par le nombre d’électrodes, capteurs et fils qui les compose. Un système de monitoring (‘wearables’) plus léger, plus accessible, et pas cher intégré aux […]

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R&D of Cannabis extraction and purification technologies

The intern will work with the company PBE Expert on the field; she will gain technical experience on the cannabis industry. Specifically, she will research and work on cannabis extraction and purification techniques. She will research problems and issues faced by cannabis producers in regards to the extraction and purification techniques. In the lab, she […]

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Real-time context-aware recommender systems

Proposed Research: Existing recommender systems, even though very effective (like Amazon, Netflix, Youtube etc) do not take into consideration any contextual information, such as time and place. In recent times, context-aware recommender systems have attracted a lot of research and industrial attention. In this project, we aim to address the unsolved challenges that comes with […]

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Smart Data Fusion for COVID-19 Patients

In response to the COVID-19 pandemic, tech industry is racing to develop apps as well as wearable devices to help people to trace contacts, to self-assess, and to self-monitor the development of COVID-19 cases. However, these apps and devices work independently of each other, which leave it to users to connect pieces of information to […]

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Designing a Kinect Camera-Based API to Detect Qualities of Movement toSupport Gestural Interaction

Despite enormous advances in technology, digital interfaces continue to rely on text and image based communication, demonstrating a lack of support for full-body sensory engagement, and downplaying the body’s role in communication and experience. This dependence on visual modes of input and output relies heavily on an individual’s attention, presenting problems for people performing tasks […]

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Small and Medium Enterprises in a Covid19 context: Ecosystem business intelligence for increased resilience

Covid 19 has deeply disrupted supply chains. Companies face profoundly changing consumer demand, the elimination of entire subsectors of industries due to forced closures, or individual suppliers due to bankruptcy or temporary plant closures due to COVID19 outbreaks. In this environment, continued operations and continued profitability depends on company’s ability to obtain real time information […]

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Benefits and Challenges of using a Digital Health Platform for Remote Delivery of Allied Health Provider Services

The research project aims to discover the experience of two user groups interacting with a prototype developed by HealthQb. The user groups are patients suffering from anxiety, chronic pain and/or infertility, and their allied health practitioners, such as chiropractors, kinesiologists, naturopaths, osteopaths and physiotherapists. The patients will wear a wearable device that collects biometric data […]

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UVPD of DMS-MS-selected SARS-CoV-2 peptides

Differential mobility spectrometry (DMS) is a technique that is used for the analysis of chemicals by separating complex gaseous mixtures under the influence of an electric field. It is a widely used technique and is successfully deployed in many areas, including drug and explosives testing at airports. In analytical laboratories, it can be used to […]

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