Multiple myeloma (MM) is the second most common hematological cancer in Canada, affecting an estimated 2,300 people in 2011. Farm work is most consistently associated with an increased risk of MM. Occupational exposure to pesticides has been linked to increased MM risk in Canadian and European studies. Previous investigations mostly focused on individual pesticide exposures, […]

This research project focuses on the development of software for a device that can diagnose HIV and monitor its severity by taking a small sample of the patient’s blood. The software will count the number of immune cells present in the sample by taking images of the patient’s blood as it flows through the device. […]

Glioblastoma (GBM) is the most common primary adult brain tumor. Even with surgery, standard chemotherapy, and radiation, tumor recurrence and patient relapse are inevitable with a median survival rate of

An artificial intelligence tool that is capable of generating natural-sounding speech can be embedded into many valuable services such as conversational agents for the disabled and conversational assistants. Such tool, when equipped with the capability of mimicking individuals’ vocal characteristics, will improve personalization of these services. In this project the intern will seek to develop […]

In a few words, this is a fintech data analysis project. The idea is, given temporal data of financial nature, to build algorithms that predict its evolution over time. For instance, the data could be certain assets prices, or customer buying history. The objective would be to respectively predict this asset price in a close […]

With the growing relevance of data, PwC has embraced Data & Analytics as part of its culture. The Tax practice, specifically, strives to bring value to market by empowering domain experts with automation and data-driven services. Among their initiatives, the Tax Technology team is investigating methods to evaluate the quality of corporate tax returns (T2). […]

The goal of Engagement Intellect system (at Deloitte) is to use conversations between patients and physicians and convert them into useful information. This is done using recent advancements in artificial intelligence technologies that can automatically extract symptoms, medical history, and other relevant information from the voice recordings. Besides extraction, the project will focus on associating […]

The aim of this grant proposal is to address the challenges with current CT Coronary Angiography (CTCA) utilizat ion with a comprehensive series of interrelated but well-defined research themes. This non-invasive technique has facilitated in the detection of significant coronary artery disease and vulnerable plaque. However, the quality is limited to the physicality of the […]

The partner is creating artificial intelligence which can help diagnose over 1,300 skin conditions with dermatologist-level accuracy. They are focused on building the functionality that is to be deployed through their app and web-interface that makes it possible to snap a photo, ask questions, and get an instant diagnosis. The partner is very focused on […]

Future wireless networks call for seamless coverage and higher data rates at low infrastructure cost. Cooperative relaying strategies are among the most promising of future technological solutions toward achieving this goal. The proposed research project intends to evaluate the system-level performance of a specific relaying architecture called the shared relaying network. To quantify the benefit […]

Surgery is undoubtedly one of the most important events in a person’s life. It is thus imperative that a feedback system is in place to ensure that proper care is provided to patients during surgery. Currently, such systems involve experienced surgeons watching hours of surgery to determine how well the surgery was performed based on […]

The objective of the project is to design a system that is able to generate context-wise reasonable and meaningful responses to open-domain conversation queries. In open-domain conversation generation, the retrieval-based methods and neural network generative models are two main approaches; there are also some recent research about improving the context consistency of conversation generation. In […]