X-rAID: Computer Aided Diagnosis of X-Ray Images

Radiologists use x-ray images of the human thoracic cavity to diagnose many diseases. One of the most common diagnoses, an enlarged heart, is detected by measure the cardiothoracic ratio – the ratio of the heart diameter to that of the thoracic cavity. Radiologists measure the cardiothoracic ratio (CTR) manually. This process is time-consuming and error-prone. […]

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Advanced Bio-composites for automotive sector

The proposed project seeks to develop biocomposite technology and products for the auto manufacturing industries. Eight graduate students under the supervision of Dr. Mohini Sain, will work on manufacturing processes, mechanical characterization and development of molds for various types of bio-composites which have direct application in auto-industries and can act as substitute for fossil fuel […]

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Examining the role for intimal cell communication in early atherosclerosis

Atherosclerosis is a disease defined by unresolved inflammation in the major arteries. High cholesterol is a major risk factor, resulting in fatty lesions developing silently for decades before causing heart attacks and strokes. Currently, no therapies exist that target the cells of the artery wall to suppress this disease. Myeloid cells (MCs) are white blood […]

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Automated diagnosis of liver fibrosis and steatosis using deep-learning algorithms applied to conventional liver ultrasound

Non-alcoholic fatty liver disease (NAFLD) is one of the most common liver disorders worldwide. NAFLD could lead to end-stage liver disease and considered as one of the most common causes of liver transplantation. Moreover, a large number of liver transplant recipients develop NAFLD after transplantation due to side effects of the medications that they have […]

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Extended Cloud Computing and Applications September 2012-April2014

This MITACS Accelerate program will support a internships for graduate students in the areas of services and applications using next generation communications, Internet, and cloud computing. The interns will be placed in Canadian telecom and networking providers and vendors and will undertake research projects defined jointly with these partners. The program will prepare graduates to […]

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Development of Lightweight Thermally Conductive Products Reinforced with Graphene Nanoplatelets for Automotive Industry

The focus of this project is replacing some of the current automotive parts by a stronger and lighter thermally-conductive polymer nanocomposite. This project takes advantage of the exceptional mechanical and thermal properties of graphene as a commercially viable and environmentally friendly nanomaterial, through an industrial scale process, i.e. injection molding. Therefore, the outcome of this […]

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Assessment, Piloting and Establishment of a Green Health Care Revolving Fund to Enhance Implementation of Energy Efficiency Projects at Health Care Facilities

The objectives of the research is to identify and quantify barriers to energy efficiency in Ontario Hospitals, to identify methods to confront these barriers, including through the use of revolving funds, and to provide a case study by designing, implementing and measuring the results of a revolving fund to be set up for the Hart […]

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Digitized neuroanatomical map of the human saphenous nerve

Overactive bladder (OAB) is an incurable, chronic medical condition that is characterized by symptoms of urgency, frequency, nocturia and urinary incontinence. It affects approximately 18% of adults and over 30% of the elderly population. Saphenous nerve stimulation is a novel therapy aimed at treating OAB patients. It offers an alternative to bladder medication, which can […]

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Head-mount Portable Multimodal Optical BrainImaging Device for Un-Anesthetized Rats

The proposed project is aimed at developing a portable optical device to image blood flow velocity and oxygenation in a rat brain. The motivation behind this project is the development of minimally invasive method for long-term neurological studies in un-anesthetized animals, which should provide a better understanding of progression and treatment efficacy of various neurological […]

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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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