Development of nanoparticle in vivo labeling contrast probes for tissue clearing 3D microscopy compatible with multi-modal imaging in fluorescence, dark field, MRI, CT and electron microscopy modalities.

High resolution 3D microscopy in combination with tissue clearing techniques such as CLARITY, iDISCO, CUBIC is a rapidly growing area of biomedical research. It also has high potential to replace traditional 2D histology to become a method of choice for the analysis of tissue biopsy samples used in diagnosis of cancer and other diseases. However, […]

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A fundamental surface characterization study on the initial molecular level events occurring during fouling on quartz sleeves in ultraviolet water disinfection photoreactors

Ultraviolet (UV) photoreactors for water treatment comprise UV lamps encased in quartz sleeves, immersed in the water to be treated. Over time, these quartz sleeves become fouled with materials from the water, reducing the amount of UV available for treatment. This phenomenon requires that the systems be over-sized and often include costly automatic cleaning systems […]

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Multi-agent reinforcement learning for decentralized UAV/UGV cooperative exploration

Over the last decade, artificial intelligence has flourished. From a research niche, it has been developed into a versatile tool, seemingly on route to bring automation into every aspect of human life. At the same time, robotics technology has also advanced significantly, and inexpensive multi-robot systems promise to accomplish all those tasks that require both […]

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Accelerating discovery through high-throughput experimentation and machine learning

Canonical methods of molecular discovery and reaction optimization rely on “trial-and-error” approaches and slow experimentation with low discovery rates. By harnessing high-throughput experimentation (HTE) with machine learning (ML) methods, artificial intelligence (AI) and robotics, we have the potential to dramatically accelerate the discovery and preparation of next generation molecules and materials. We will extract, unify, […]

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Accelerating discovery through high-throughput experimentation and machine learning – Year two

Canonical methods of molecular discovery and reaction optimization rely on “trial-and-error” approaches and slow experimentation with low discovery rates. By harnessing high-throughput experimentation (HTE) with machine learning (ML) methods, artificial intelligence (AI) and robotics, we have the potential to dramatically accelerate the discovery and preparation of next generation molecules and materials. We will extract, unify, […]

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Ciena OPn Innovation WP 1.1.6 – High Speed Low Power Transceiver

The intent of this project is to address the high-speed electronic portion of a silicon photonic transceiver solution that will explore new and innovative metro reach terabit optical modems. In total there are five projects that combine to create the solution. These five project areas are silicon photonic design, high-speed electronic design, modelling, packaging and […]

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Development of Solar Micro-Reactors for Steam Methane Reforming

Hydrogen is often seen as an energy carrier that can support our growing need for greener energy. However, current methods to produce hydrogen are cost prohibitive or generate large volumes of CO2, namely by the combustion of natural gas (NG) to provide heat to the commonly used steam methane reforming (SMR) process. By using established […]

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Three dimensional (3D) ultrasound image analysis of the female pelvic floor

Pelvic organ prolapse (POP) is the descent of the pelvic organs into the vaginal canal, affecting up to 50% of the female population. Pessaries are intravaginal medical devices used to alleviate the symptoms of prolapse. However, pessaries are fit through trial and error and finding the right fit is not guaranteed for all patients. Cosm […]

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Fabry-Perot Pressure Sensors for High Temperature Applications

The use of advanced manufacturing methods and analysis tools and bringing them to the plant floor is crucial for modern manufacturing. A gap that has become apparent is that often engineering capabilities are not available within many facilities – and this requires robust design and new thinking to ensure manufacturers ensure quality product. The pressure […]

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Definitions of schizophrenia relapse as a study outcome and impact on the comparative effectiveness of oral versus injectable antipsychotics in the real-world setting

Schizophrenia is a devastating disease for which there is no cure. Available treatments aim at minimizing the symptoms. However, patients often stop taking their tablets, which leads to a worsening of their symptoms, referred to as relapse. In order to avoid the problems of discontinuation, some treatments are administered through an injection. Several studies have […]

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Implementation of risk minimization measures and trends over time in the frequency of outcomes

Opioid-related harms such as abuse, misuse, addiction, diversion and overdose have been rising exponentially, a phenomenon referred to as the opioid epidemic. The current research will examine federal and provincial risk minimization measures (RMMs) regarding the opioid epidemic starting in 2016. We will develop a landscape of federal and provincial opioid RMMs, describe trends over […]

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