Physiological assessment of cochlear and auditory nerve integrity in children suspected of auditory processing disorder

The American Speech-Language-Hearing Association (ASHA) recommends to include electrophysiological measures in their auditory processing disorder (APD) assessment battery. But few audiologist include electrophysiological assessment due to lack of evidence. There is strong evidence of auditory brainstem abnormality in these children. However, very less is understood about stimulus processing within the cochlea, auditory brainstem coding in noise (ipsilateral) and the thalmocortical functioning in APD children.

Using multivariate deep-learning algorithms for automatic quality control of high-resolution MRI

NeuroRx is an imaging contract research organization (CRO) specialized in the central nervous system (CNS) that utilizes state-of-the-art digital image processing techniques to produce accurate and precise outcome measures for clinical trials of drugs in development. Prior to analysis, all scans must pass Quality Control (QC). The goal of this project will be to incorporate advanced computer algorithms to automatically classify the quality of high-resolution structural brain Magnetic Resonance Images. The advanced computer algorithms will include deep learning algorithms.

The role of integrins in stretch-induced activation of TGF-?1 and pulmonary fibrosis

Fibroproliferative disorders are the leading cause of morbidity and mortality worldwide. A large group of interstitial lung diseases (ILD) can cause progressive scarring of lung tissues, affecting the ability to breathe. Idiopathic Pulmonary Fibrosis (IPF) is one of the major forms of ILD and is characterized by a progressive decline in lung function. Although the pathogenesis of IPF is not completely understood, work from our group and others suggest that transforming growth factor beta 1 (TGF-?1) is involved in the fibrogenic process.

Transitional REM Sleep Brain Connectomes and Seizure Susceptibility

Seizures are rare while dreaming in rapid eye movement (REM) sleep. New research, however, suggests seizures may rebound during unstable REM sleep. This may be due to brain wiring (“connectivity”) since a highly connected brain is more prone to seizures, and connectivity changes from wakefulness to sleep. Brainwave tracings (“EEG”) can generate connectivity maps (“connectomes”) but adequate connectome resolution requires many EEG electrodes (“high density EEG”). This study uses high density EEG to examine brain connectomes and seizure susceptibility in unstable REM sleep.

Towards personalized surgical spine reconstruction post tumour resection

We aim to develop tools to assess patient outcomes following treatment and removal of bone metastases. We will identify markers for enhanced patient outcomes, so as to predict which patients may benefit from more aggressive treatments to better their quality of life. We also aim to use 3D printed bone implants to help in the treatment of patients with bone metastasis. These implants will serve as a local reservoir for the anticancer drugs that will improve bone regeneration while also preventing tumor recurrence.

Towards Detection of Subclinical Joint Bleeds in Hemophiliacs: Advanced Imaging

This project aims to assess how the use of the novel “ultra-short echo-time” (UTE) MR imaging technology can “add value to” conventional MRI for detection and quantification of blood products in hemophilic joints. We will test this novel technology in joints of hemophilic patients with different stages of arthropathy presenting with blood products at different stages of degradation as compared with existing MRI sequences.

Evaluating the effectiveness of real time image filtering in multi-platform live broadcasting and interactive VR installations as means for artistic expression

There are several platforms that allow users to share real time video with the public. However, these platforms lack the tools that would allow creative professionals to create artistic video compositions extemporaneously. Our prior research assessed the potential for artistic expression within live video broadcasting by developing and integrating new creative tools within the Generate platform, a mobile tool for dynamic artistic video compositions. Behavioral analysis provided the information to determine the effectiveness and relevance of video art in an online real time nature.

Using multivariate deep-learning algorithms for automatic quality control of high-resolution MRI

NeuroRx is an imaging contract research organization (CRO) specialized in the central nervous system (CNS). This company utilizes state-of-the-art digital image processing techniques to produce accurate and precise outcome measures for clinical trials of drugs in development. Prior to analysis, all scans must pass Quality Control (QC). The goal of my project is to incorporate advanced computer algorithms to automatically classify the quality of high-resolution structural brain Magnetic Resonance Images. The advanced computer algorithms will include deep learning algorithms.

Utilization of Asparaginase-expressing yeast for the treatment of leukemia

Acute Lymphocytic Leukemia (ALL) is a common form of leukemia that affects approximately 3 people per 100,000 individuals, and is the most common form of cancer in children and adolescents. Current therapies are effective in children, however, treatment success in infants, adolescents, and adults needs improvement. Indeed, there is a need for new chemotherapeutic drugs and drug formulations that can improve survival rates in susceptible age groups, reduce relapse rates, and improve outcomes in relapsed patients.

Mycobiota dysbiosis in colitis-associated colorectal cancer

A higher incidence of colon cancer is reported in populations consuming high amounts of red meat, as well as in patients with inflammatory bowel disease, where gut bacteria participate in the development of inflammation. We found that dietary supplementation with heme, an element found at high levels in blood, is detrimental to gut health and it fosters the growth of harmful bacteria. In this project, we propose to establish new procedures for both the manipulation of the gut bacteria (microbiota), as well as its characterization using a new state of the art sequencer.

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