High throughput multi-omic cancer studies have described the inter-tumor heterogeneity and led to well defined molecular classifications. Nevertheless, these classifications only reflect the most abundant tumor subtype in the examined sample, thus neglecting intra-tumor heterogeneity, a major source of therapeutic resistance. As advanced microdissection techniques to isolate a cell population of interest from heterogeneous clinical […]

A major challenge facing farmers is obtaining the nitrogen needed to support plant growth. Inoculation of legume crops with bacteria known as rhizobia, which supply plants with the required nitrogen, is a green alternative to environmentally hazardous nitrogen-fertilizers. The development of highly-efficient rhizobium inoculants is a pre-requisite for sustainable intensification of agriculture. In five clades […]

Music therapy is an evidence-based effective intervention to promote psychological, social and emotional health, and it is specifically favored by older adults. However, little is known on the efficacy of the AI-assisted empathic music therapy in which the music is continuously adapted to individuals’ mood. To fill this gap, the proposed project will assess the […]

Bacterial resistance to aminoglycoside antibiotics is a major public health problem. The WHO (World Health organization) has highlighted the urgent need to find new treatments to fight multidrug resistance MDR bacteria, as actual drugs are less effective or inactive. This research project aims to develop new chemical compounds to restore bacterial sensitivity to antibiotics currently […]

Sensitive gas sensors are urgently needed for the detection of biomarkers for disease prevention and greenhouse gas emissions for environmental monitoring. Dynamic cantilever gas sensors work by oscillating the cantilever to its natural resonance frequency by typical MEMS (micro electromechanical system)-based actuation methods. The adsorption of a target gas on the cantilever increases its mass […]

Serial electron diffraction (serial-ED) crystallography is an emerging structural biology method whereby data are collected from protein nanocrystals using a sub-micron-sized electron beam. The method is set to lead the future of nanocrystallography, given its cost-effectiveness and the small amount of sample required. Combining the expertise of the Colletier and Miller teams, the project will […]

Computer-based multimodal affect recognition methods fuse multiple informational channels, typically video, audio, and text, to resolve the emotional state of a monitored individual. The proposed research aims to develop multimodal deep learning models to recognize anomalous emotional responses, which correspond to a deviation from the expected affective reaction for a particular context. Since multimodal affect […]

An organization that can effectively understand its specific customers’ needs will be able to follow the best communication approach and accurately measure engagements. A data-driven framework based on the customer’s digital behavior, historical data, will be developed to identify specific customer segmentation and used to find optimal next best action to enhance customer experience by […]

Plastics pollution is a global environmental hazard with a wide range of impacts on wildlife, biodiversity, food webs, ecosystem services and human wellbeing. Of particular concern are microplastics (including nanoplastics) because their small sizes enhance their long-range transport, their uptake by biota and the capacity to sorb and leach contaminants. The proposed project will focus […]

The upstream oil and gas sector is the second largest source of anthropogenic methane emissions within Canada. As new policies and regulations are being introduced to reduce methane emissions, Canada’s oil and gas producers and provincial regulators need to be able to quantify the cost-effectiveness of various strategies to reduce emissions and identify the best […]

The vision for the VERDICT platform is to become the first choice for online event adjudication support in the global VTE research community, which will in turn contribute to the Network’s mission of promoting and facilitating clinical VTE research that is collaborative, methodologically rigorous, and yields valid results. This innovation project is focused on building […]

Many restaurant brands use multiple third-party providers (marketing agencies, digital marketing specialists, loyalty program and CRM providers, app developers, and business intelligence vendors) across the data value chain. The resulting piecemeal environment makes it hard to get a true 360-degree view of the brand’s customers. omNovos is to deliver a reasonably priced enterprise-scale Digital Order […]