Predicting Treatment Response to 1st-Line Pembrolizumab in Highly Expressing PDL1 Advanced NSCLC Patients using Artificial Intelligence Models

Late-stage lung cancer patients with non-small cell lung cancers who demonstrate high levels of PDL1 expression have better outcomes when placed on a combined treatment program of both immunotherapy and chemotherapy. There is a subset of patients that respond well to pembrolizumab, an immunotherapy drug, alone as an initial treatment path, but there are no […]

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TMI YOUTUBE Channel Research and Development

Tyson Media is an award-winning Television Production Company based out of Vancouver, British Columbia. We have produced content for Netflix, Amazon Video, OutTV, and Discovery, among others. The company is currently looking to research, invest and create an alternative revenue stream, separate from our major television production projects, in the form of a Youtube channel. […]

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Blockchain Financial and Risk Modeling with Tensor Decompositions and Deep Learning for Institutional Investors

Cryptocurrencies are a new asset class that are emerging in importance and adoption in global markets. Public blockchains such as Bitcoin and Ethereum offer access to an unprecedented amount of financial and technical data. With the increasing amount of blockchain data, it is important that investors and policy makers can access standardized methods of financial […]

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Development of Streamlined Data Processing Pipeline for Untargeted Metabolomics

Metabolomics is the study of the complete set of small molecules in human body. It is a cutting-edge technology that empowers precision health and drug discovery. Liquid chromatography-mass spectrometry (LC-MS) system is the most sensitive analytical platform for metabolomics. However, computer programs are urgently needed to automatically process metabolomics data. This project will incorporate state-of-the-art […]

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Characterization of SQUID amplifiers for optical TES readout and exploring multiplexing approaches

While current work in quantum computing with near term noisy devices is promising, key applications will require a universal, error-corrected and fault tolerant quantum computer. Xanadu’s proposed architecture uses photon number resolving detectors in a modular way to create photonic qubits. The detectors are based on superconducting transition edge sensors (TES). Previously, TES has been […]

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Investigation of Raman Spectroscopy for Commercial Clinical Chemistry Applications

The project aims to address the issue of the lack of access to basic blood tests in a majority of the world’s population. We will explore the potential of Raman spectroscopy to provide a reagent-less alternative to traditional clinical chemistry methods. By proving that Raman spectroscopy, in conjunction with advanced machine learning, is able to […]

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An integrated monitoring, statistical analysis and First Nations community engagement approach for water quality assessment in Necoslie River Watershed

The community of Nak’azdli Whut’en has been highly impacted by the watershed deterioration, as they currently have no access to clean water. The physicochemical and biological water quality parameters will be monitored for one-year. In addition, through the collaboration with the Nak’azdli band council and School District 91, a local team of high school students […]

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Simulation and Design of Next Generation Single Photon Sensors

Photons are particles of light. While countless numbers are emitted from a light source to illuminate a room, sensitive electronics can detect light down to the level of a single photon. These electronic devices, known as single photon avalanche diodes (SPADs), use a process that triggers an avalanche of electrical charges, which can be measured […]

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Development of polymer-based CMUT array design for Ultrasound Computer Tomography

An emerging imaging modality for breast cancer screeing is Ultrasound Computer Tomography (USCT). The thereby used image reconstruction techniques result in special requirements for the ultrasound transducers. At the University of British Colombia, a novel fabrication technology was recently presented. This technology allows the realization of polymer-based Capacitive Micromachined Ultrasound Transducer (CMUT), whose properties match […]

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Development of Metallurgical Testing Methodologies to Assess Sensor Based Sorting

Sensor Based Sorting is a relatively new technology for the mining industry. The ability to use sensor to classify particles or bulk materials ahead of expensive downstream grinding and separation has many benefits including reduced energy and water usage, reduced operating costs and improved metal recoveries. Testing to assess sorting for a mineral deposit is […]

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