Collaborative Robot for Vertebral Fusion with a Quality of Fusion Estimation Model

Spinal fixation, the process by which a broken spine is mended, or a deformed spine corrected, can involve the placement of tens of pedicle screws during lengthy surgical operations. With an ageing population the overall demand for these procedures is increasing. Surgeon fatigue is an issue in these procedures and has demonstrated decreased performance. Our […]

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Multiparametric Analysis of Brain & Lung Imaging from COVID-19 Patients

The intern will participate in NEUROCOVID19, a project studying how the COVID-19 virus can potentially infect and damage the brain. The intern will develop methods for analyzing magnetic resonance imaging (MRI) of the brain and of the lung, as acquired from people who are no longer infected, and people who were never infected. The intern […]

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Optimization and validation of collagen fiber manufacturing

Natural biomaterials such as cotton, wool and bamboo are common biofibres due to their accessibility and high performance characteristics in textiles. However, their strictly defined composition is severely limiting, as the materials cannot be adapted for alternative uses. Thus, producing biomaterials at an industrial scale has been an active area of research, where the goal […]

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Feasibility of physiological assessment for objective confirmation of non-invasive electrical recruitment of the saphenous nerve

Overactive bladder, urinary urgency, affects 14-18% of the Canadian population and costs our health care system over $350,000,000 annually. Most current treatments require ongoing in-person support or have low adherence rates, enhancing greater strain on our healthcare system and economy. Non-invasive saphenous nerve stimulation (nSNS) overcomes these issues however there is currently no objective method […]

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Development of a Deep Learning algorithm to improve the image quality of the pictures taken by Quartet® real-time

1 in 5 people suffer from a mental illness, such as depression, Alzheimer’s & Parkinon’s during their lifetime. Currently, there are no treatments for these diseases, because the underlying causes of these diseases is not known. Neurescence has developed a technology that is essential for understanding how local and long-range neuronal circuits form to create […]

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Developing an Efficient Ensemble Machine Learning Model for Evaluating Construction Project Bidding Quality and Optimal Winning Strategies

PledgX is interested in building a solution that aims to optimize the bidding process to maximize key performance indicators for contactors and vendors. For bidding optimization, several strategies and methods have been proposed; however, with the massive amount of available bidding datasets, the quality and performance of such methods are questionable. Machine learning introduces intelligent […]

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A novel multi-echo MRI technique for prostate cancer detection and grading

We propose to develop a novel, clinically relevant MRI based technique for prostate cancer detection. We also propose to develop a novel reporting system that would be more accurate and easier to use by the radiologists. The new technique will be first developed on a research MRI scanner at UBC, and subsequently implemented on the […]

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PATH: Program to Accelerate Technologies for Homecare

Most people would like to continue living in their own homes as they age. A new ecosystem is needed to enable home health technologies to be developed, tested and successfully commercialized. This will require a program that provides a low-cost way for developers to test their products before introduction to the market. Therefore, in our […]

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Detargeting Protein-Protein Interactions For Cellular Design Applications, Using 3D Structure-Based Deep Learning Models

Rational protein design has had a tremendous impact on pharmaceutical, agriculture, and chemical industries over the past 30 years, by focusing exclusively on individual proteins and their intrinsic activities. The next generation of protein design tasks will seek to modify function inside living cells, competing and interacting directly with pre-existing cellular machinery. Modifying systems in […]

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Real-time food analysis using deep learning for Diabetes Self -Monitoring

Our proposed research is to create an algorithm capable of pre-evaluating diabetes patients’ meals before they consume them with the snap of a picture. We are attempting to accomplish this goal by employing AI, machine learning as well as computer vision for real-time analysis. Our goal is to analyse a users meal to return an […]

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Investigation into methods and materials to simulate neuroanatomical structures for MR Imaging applications

During their tenure at Preoperative Performance Inc. the interns will focus on the research, design, fabrication and testing of a number of novel MRI phantom assemblies to be used as calibration equipment and research tools for diffusion weighted imaging systems. The conclusions drawn from this research will contribute to interventional planning to provide better healthcare […]

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