Portable diagnostic device for outpatient BNP detection

Brain natriuretic peptide (BNP) is an established prognostic marker for the early detection of heart failure. Elevated blood BNP levels are directly correlated to the severity of HF and decompensation. Current FDA approved immunoassays for BNP detection can only be carried out in medical laboratories or emergency rooms. Outpatient-use BNP monitors are yet to be […]

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Portable diagnostic device for outpatient BNP detection – Year two

Heart Failure (HF) occurs when the heart becomes damaged or weakened. HF is an epidemic, with approximately 1 million Canadians affected. BNP is an effective diagnostic and prognostic marker for HF. There is a direct correlation between elevated concentrations of BNP in the blood and the severity of HF symptoms. The need for point-of-care monitoring […]

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Developing Integrated Smart Home Controllers with Energy-Efficient HVAC Operation

AYO Smart Home is an integrator of new technologies to provide affordable and energy-efficient housing for First Nations communities across Canada. AYO manages the technology and supply chain to deliver Net-Zero houses consisting of efficient building envelopes, heat recovery systems, energy-efficient HVAC, LED lighting, mold-resistant materials, and smart home controllers. After developing an energy-efficient HVAC […]

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Chemical and Microbial Contaminants of Medical Air in Healthcare Institutions

Administration of supplemental oxygen through medical air is a life-supporting measure essential for the management of severe primary respiratory conditions as well as secondary lung injury due to systemic insults such as trauma and sepsis. This medical air is often produced on site through devices which draw, compress and filter outside air in order to […]

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Human Detection from Videos based on Deep Learning

Since the state-of-the-art detection performances are mainly from still images, besides the existing algorithms validation, effective algorithms specifically designed for feature extraction and human detection from videos are expected to be developed or extended from algorithms for general object detection and human detection tasks. What’s more, it will be possible to analyze human actions like […]

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Semantic Information Processing to Improve e-Commerce Shopper Experience

Granify provides a service to stores on the internet that offers promotions, discounts, and information to customers who might need such information or incentives for the store to make a sale. Granify does this by using an artificial intelligence “brain” that guesses when the best opportunity to act to keep that store’s customers happy. We […]

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Preclinical evaluation of novel meningococcal vaccines

Neisseria meningitidis (Nme) is a bacterial pathogen that often colonizes the upper respiratory tract of humans without symptoms, but which may also develop into rapidly-progressing sepsis and meningitis that can be fatal. Nme has evolved elegant means to specifically interact with human cells and proteins in order to colonize, survive and the evade host immune […]

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Preparation of a new formulation to prevent surgical adhesions

Inter-tissue adhesions cause significant complications following veterinary surgery of domesticated animals. Fucoidans are natural, negatively charged, carbohydrate polymers (polysaccharides) from seaweeds that have been successfully developed and commercialized for reducing such adhesions, thereby improving surgical outcomes. Currently, the inherent variability in the molecular size and composition of native fucoidans extracted from seaweed presents a significant […]

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Multiscale modeling of hydrogen storage in nanomaterials

Fuel cells operated vehicles are most attractive alternative to current gasoline base vehicles to reduce greenhouse gas emissions and protect the environment. Fuel cells used Hydrogen as fuel and therefore it is need to be stored on-board. Due to light weight of hydrogen special storage mechanism is necessary to store the adequate quantity. All available […]

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Electrochemical Impedance Modeling and Optimization of Li-Ion Battery Utility using Active Battery Management System (ActiveBMS)

Lithium ion batteries (LIBs) are considered the top candidates among electrochemical energy storage systems (ESS) due to their high energy density which has triggered the growth market of popular devices such as cell phones, computers, electric vehicles (EV) etc. As ESS, LIBs are continuously charged and discharged during their utility. The charge/discharge cycle is known […]

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Electrochemical Impedance Modeling and Optimization of Li-Ion Battery Utility using Active Battery Management System (ActiveBMS) – Year two

In the last decade, lithium-ion batteries (LIB) have become the most popular power sources for consumer devices, telecommunication, energy storage systems, as well as electric vehicles. This type of batteries is indispensable in maintain our modern society. GBatteries have developed an active battery management system (ActiveBMS), which hinders LIB degradation mechanisms, such as the anode […]

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