Super resolution for MRI scans

Brain MRI scans are a critical component in the diagnosis of neurodegenerative disorders. However, there is a wide diversity in terms of the image quality and resolution obtained from different MRI scanner. In particular, it is common to find coarse resolution MRI scans (e.g. every axial slice is 3-5 mm thick), which limit the type of anatomical analysis that can be performed. The goal of this project is to develop and validate the performance of state-of-the-art super-resolution methods in 3D MRI scans, which generate high resolution MRI scans from low resolution scans.

Speaker Diarization

Machine-transcription of speech into text is very helpful in many scenarios. Consider the case of machine-transcription of conversation between a Doctor and a patient. If we are able partition and identify the segments of patient’s speech from those of doctor’s, then the transcribed text is more structured and can be more helpful for further use. The process of partitioni a given input audio stream into homogeneous segments according to speaker identity is called Speaker Diarization. In this project, we want to implement and improve the state-of-art method for speaker-diarization.

Time-series forecasting

The Internet of things is a global infrastructure that enables advanced services by interconnecting physical and virtual things like smartphones, sensors, computers, machines or buildings. These devices typically create enormous amounts of data that can be used to create business value. Mnubo offers a software dubbed Smart Objects that is a comprehensive, full stack IoT data platform, which allows enterprises to transform IoT data into critical insights that can be used for maximizing their profit (e.g. In agriculture, one could optimize the irrigation rate to maximize crop production).

Readmission AI: a predictive tool to assess patient risk of hospital readmission

Logibec Readmission AI is a predictive intelligence tool that accurately identifies the patient’s likelihood of being readmitted within 45 days of discharge. Rigorously and ethically developed with machine learning techniques in partnership with three large healthcare organizations in Québec, the predictive model uses reliable, accessible and timely clinical-administrative and sociodemographic data to provide clinically relevant stratification of readmission risk.

Impact of Repeated Vaccination on 2017-2018 Influenza Vaccines Effectiveness – A Retrospective Study

Influenza causes seasonal illness characterized by fever, myalgia and respiratory symptoms which can lead to hospitalization and death. Although it is a vaccine preventable disease, influenza contributes directly and indirectly to a large number of hospitalizations and outpatient visits. More specifically, influenza causes every year approximately 12,000 hospitalizations and 3,500 deaths in Canada, of which 90% occur in people 65 years and older. Recently, numerous studies have investigated the impact of repeated vaccination on its effectiveness reporting a large variety of results.

Development of new classes of bio-relevant linkers for PROTACs and other conjugates using new technologies - Year two

Les PROTACs sont de nouvelles molécules thérapeutiques ayant pour but de soigner certaines maladies grave comme les cancers. Ces composés sont des molécules linéaires constitués de trois composants principaux : une extrémité permettant de repérer la cible, une autre extrémité permettant de causer la dégradation de cette cible, et enfin un linker reliant les deux. Cette dernière partie est la moins étudié, bien qu’il ait récemment été prouvé qu’elle joue grandement sur les propriétés de la molécule finale.

Development of a clinical protocol for the validation of a detection test for ??amyloid aggregates in retinal scan images.

Alzheimer’s disease (AD) is a neurodegenerative disorder that is difficult to detect early before apparent manifestations of cognitive decline. Current detection methods rely on expensive and hardly accessible imaging techniques (PET scans). Optina Diagnostics developed a new camera as well as innovative image processing methods to propose a non-invasive test to identify the presence of AD biomarkers in evaluated individuals. The objective of this collaborative effort is to develop a clinical protocol to test this new technology.

Sex: It’s a matter of the heart

Heart failure is a complex cardiovascular disease with increasing global burden while the prognosis for patients remains poor. Risk factors and the type of heart failure differ between men and women. These differences can be due to sex – referring to biological differences – or gender – referring to social differences. In our project we will study the role of genetics in the different types of heart failure in men and women, using models that distinguish the contribution of both sex and gender.

Efficient and low-complexity video coding for virtual reality and 360-degree video streaming

Virtual reality (VR) and augmented reality (AR) offer a unique immersive video experience by providing 360-degree video in a panoramic view. Limited bandwidth, demanding high quality, encoder delay, network latency and lack of standards are the main problems to deliver true VR immersive experience.

Elaboration of a Phase II clinical study protocol for the treatment of metastatic non-small cell lung cancer (NSCLC) using AB-16B5, an epithelial to mesenchymal transition (EMT) inhibitor, in combination with docetaxel

The molecular mechanisms responsible for the occurrence of metastatic cancer are beginning to be elucidated with the identification of key regulators. Increasing evidence points to tumor cell epithelial to mesenchymal transition (EMT) as an important contributing process to metastatic evolution. The identification of factors that are stimulated during EMT might provide the means to develop new drugs required to increase the effectiveness of current regimens and improve patient outcome.