Garment-based Neuroprosthesis, a non-invasive closed-loop neural extension for facilitating the human nervous system function

MYANT is a pioneer in the field of smart textiles, with the first connected e-textile ecosystem that can serve as a DSL cable connecting humans to their surroundings, others and themselves. This connected eco-system or platform is named SKIIN, representing a second skin, an intelligent interface, an augmentation of the human sensory and nervous system, […]

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Determining position, speed and stride length using machine learning with sensor fusion based on ultrawideband local positioning system technology

Sensors that track human movement are becoming more and more popular in all kinds of applications including healthcare, sport and general human movement. However, traditional sensors generally have problems tracking individuals indoors and they are not very accurate when measuring subtle movements. Using innovative technology, new wearable sensors have been developed to track human movement […]

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Automatic Spondylolisthesis Grading

Approximately 5% of the population has a Spondylolisthesis (one of the lower vertebrae slips forward onto the bone directly beneath it). Non-invasive image-based assessment of this spinal structure is an increasing demand in healthcare service. However, the massive information embedded in the increasing large imaging scans has made manual inspection a lengthy and tedious task […]

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Development & Benchtop Testing of Minimally Invasive Surgical Device

Xpan Inc. is developing a patent-pending expandable laparoscopic access port device. Xpan needs to develop its proof of concept prototype into a high-fidelity prototype through a series of iterative design, prototyping and benchtop testing. Research must be performed to select appropriate biocompatible material that achieve user requirements. Research must also be performed to evaluate the […]

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Integration of benchtop focused ultrasound device with a collaborative software platform for image-guided exploration and user-centred design guidelines

Focused Ultrasound (FUS) is a therapeutic modality that can concentrate non-invasively mechanical energy far from its source in just a few cubic millimeters. FUS is used, by example, to treat brain disorders such as essential tremor. At research level, very diverse approaches are being explored. From the treatment of Alzheimer Disease, brain stimulation with FUS […]

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Dissecting fibroblast-macrophage-T-regulatory cell communication in the fibrotic niche

Idiopathic pulmonary (lung) fibrosis (IPF) affects 5 million people with a mean survival time of 2-3 years after diagnosis. In lung fibrosis, connective tissue fibroblasts excessively produce and stiffen collagen matrix. The resulting scar destroys the delicate lung architecture, decreases lung compliance and gas exchange, ultimately rendering patients unable to breathe. The only effective treatment […]

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Investigating polysomnography parameters and screening for obstructive sleep apnea using breathing sound analysis during wakefulness

Obstructive sleep apnea (OSA) is still an underdiagnosed common disorder. Undiagnosed OSA, in particular, increases the perioperative morbidity and mortality risks for OSA patients undergoing surgery requiring full anesthesia. OSA screening using the gold standard Polysomnography (PSG) is expensive and time-consuming. This proposal presents three research projects/points to apply advanced signal processing and machine learning […]

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Evaluation of corticosteroid-releasing formulations to suppress implant device- related foreign body reactions and fibrosis

Implanted medical devices have dramatically improved the lives of millions of patients worldwide. However, in many cases, the body’s immune system rejects these devices and encapsulates the implant in fibrous scar tissue. This reaction is most detrimental to sensors for continuous monitoring and treatment of chronic conditions such as diabetes and those of the central […]

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Airway-On-A-Chip: Development and In Vitro Validation of A Microfluidic Cell Culture Model for Chronic Obstructive Pulmonary Disease (COPD)

Chronic obstructive pulmonary disease (COPD) is an inflammatory disorder of the lung, and one that affects 2.6 million Canadians and 380 million people worldwide. Although the disease affects a large population worldwide the therapies used for treatment remain imprecise. With the lack of disease modifying therapies there is a pressing need to discover novel targets […]

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Machine Learning for Digital Pathology

Histopathology is the study and examination of tissue slides under magnification and is the definitive diagnosis for many diseases including cancer. With the advent of whole-slide scanners and image management software systems, computational pathology tools can be created to measure disease in an efficient and objective manner. This is in contrast to the labourious and […]

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Applying Machine Learning to Human Motion & Musculoskeletal Health: Predicting ACL Injury & Recovery from Monocular Video

Active people, and young athletes in particular, are at high risk of tearing the anterior cruciate ligament (ACL) with 200,000/year occurring in the United States. However, current effective methods to assess functional test performance are onerous, lengthy (~1hr), complex and costly. Curv Labs is a Canadian start-up that leverages computer vision and artificial intelligence to […]

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