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.

Identifying species and planting conditions to revegetate mixed mine tailings at the Whabouchi site operated by Nemaska Lithium in Northern Québec

The long term objective of this project is to develop methods of revegetating mine tailings sites (in this case, a very large tailing mound in northern Quebec) using natural vegetation, and without transporting soil long distances. The specific objective of this project over the next year is to (i) conduct field trials to determine the causes of mortality of transplanted tree saplings using our method and (ii) to identify easily-measured traits of naturally growing plant species that increase the likelihood of such species surviving in these harsh environment.

THC and CBD ratios in cannabis grown in hydroponic or aquaponic systems

A new era has dawned in the world of cannabis research. After becoming only, the second country in the world to legalize cannabis Canada is now in an ideal position to establish cross country research programs into the world of cannabinoids. The cannabis plant is a cornucopia of chemicals with a very wide range of effects and possible medicinal uses. It is thus essential that peer reviewed research is established to study cannabis.

The use of machine learning tools to identify organisms and contaminants in lake ecosystems

The ultimate objective of this research project is to use a form of artificial intelligence to be able to classify and identify images of microscopic particles. Machine Learning is the term applied to this type of process, in which an algorithm is created by the computer software itself (i.e. mostly hidden from human intervention) to complete the task.

Building a National Ocean Literacy Strategy

This collaborative, pan-Canadian and consultation-based research project will develop an ocean literacy strategy for Canada with the aim of elevating Canadians understanding of the importance of ocean health and their capacity to participate in ways that promote a sustainable ocean ecosystem and economy. The interns will respectively coordinate the overall national consultation process (pdf#1), facilitate regional consultations (pdf #2; pdf #3; pdf #4; intern #5) and synthesize regional reports into a draft national strategy (pdf #1; intern #6).

Genomic resources for cannabis research

Cannabis has been in use for a long period of time both as medicine and as well as a recreational drug. With the current legalization of the crop in Canada, cannabis industry is expanding but there is limited information on improving the medical cannabis in terms of the content of minor cannabinoids such as THCV or developing a variety that is tolerant to fungal pathogen such as powdery mildew.

Transcriptomics as an Adventitious Virus Detection Strategy

As an analytical platform, the Sanofi Pasteur Analytical Sciences (Toronto) Molecular Biology Centre (MBC) is applying and optimizing the use of high-throughput sequencing (HTS). The detection of adventitious viruses in biological products relies on a set of methods defined by the regulatory agencies called the compendial methods. High-throughput sequencing has the potential to improve the current breadth of detection and to remove some poorly performing compendial in vivo animal tests.

Since 2016, the Molecular Biology Centre has used HTS for the detection of adventitious viruses.

ATP citrate lyase (ACLY) as a novel anti-cancer drug target for hepatocellular carcinoma

The net 5-year survival rate for patients suffering from liver cancer is less then 20 percent and the number of cases is rapidly increasing in Canada. Unfortunately, currently available oral chemotherapies can only extend median survival by 3 - 4 months making the development of new and effective drug treatments critical. The proposed study aims to pave the way for a new class of drugs to help fight liver cancer and give hope to patients suffering from this deadly disease.

Developing novel varieties of canola, rice and alfalfa with improved cell wall characteristics

Biobased products, mostly derived from plant biomass, have the potential to improve the sustainability of Canada’s natural resources and environmental quality while competing economically. Plant biomass, composed primarily of cell walls and modification of cell wall properties has the potential to improve biomass conversion to biobased products such as biofuels as well as improve feedstock quality in forage crops. Progress towards achieving this goal is currently impeded by a lack of knowledge of how cell walls are assembled and how their structure affects the processing of biomass.

Image-based Feature Engineering in Age Related Macular Degeneration (AMD): bridging the biology of ophthalmic imaging with advanced computer analytics for enhanced clinical trial design and personalized medicine in blinding eye disease.

This project allows a PDF to take on a “feature engineer” role in which she will work closely with a biomedical engineer to identify novel features based on Tracery’s proprietary imaging method for Age-related Macular Degeneration (AMD). The PDF will serve as a vital link between clinical disease and computing, interacting with both academic and industry partners for automated feature extraction and ultimately machine learning and artificial intelligence.