Meningiomas represent the most common type of brain tumours arising from the brain itself, accounting for about 30% of cases. Effective treatments like surgery and radiation exist, yet patients may continue to suffer from symptoms that lower their quality of life (QOL). Currently used tools for measuring QOL are not specific to the unique needs […]

Despite being the world’s third-largest raspberry importer, Canada faces challenges like high local wholesale prices, erratic climate, pest issues, and labor costs. This project offers a breakthrough solution—an innovative, scalable indoor farm—to address these issues. The goal is to create a cutting-edge platform that overcomes horticultural challenges, empowers future growers, and transforms Canadian indoor farming […]

This project aims to improve the monitoring and management of soil erosion in agricultural landscapes using advanced technologies like combinations of optical and LiDAR data from remotely piloted aircraft with machine learning. By creating detailed, high-resolution models of soil erosion and deposition, the project will help quantify erosion processes more efficiently than traditional methods. The […]

By systematically reviewing and analyzing existing literature and data on postpartum mental health in Japanese women, this research project aims to understand the cultural expectations of motherhood and perceptions of mental health on mothers in Japan, and how this may impact the uptake of support and public health interventions in the Japanese context. The research […]

The proposed project aims to develop an illustrated children’s book to educate youth on the importance of climate action, which has become increasingly importance due to the consequences of anthropogenic climate change. This project aims to develop a book that instills ecological and emotional literacy in order to empower youth to take action against climate […]

This project focuses on developing a robotic arm manipulator capable of accurately cutting plant leaves for genetic analysis, improving the efficiency and precision of agricultural plant research. In current studies, researchers must manually cut leaves from hundreds of plants, a time-consuming process that introduces inconsistencies due to varying plant conditions over time. Automating this task […]

The objective of the proposed research is to design and implement an innovative IBI scheme capable of minimizing basis risk. Forage insurance will be used as an example to empirically examine the effective implementation of the IBI, through establishing an adequate relationship between the weather index and forage yield. Therefore, a second objective of the […]

Comprehensive Healthcare at Home (CHAH Technology) is a Toronto-based health-tech startup leveraging AI to enhance home-based healthcare. The company develops predictive models that monitor patient health, detect early warning signs, and facilitate timely interventions to prevent hospitalizations. The healthcare system in Canada faces growing challenges due to an aging population and high public healthcare costs. […]

The Princess Margaret Cancer Centre, part of the University Health Network (UHN), is Canada’s largest cancer hospital and one of the top 5 cancer research centres in the world. This internship will take place in the Guided Therapeutics (GTx) lab, part of the cancer centre’s research institutes. The GTx lab is developing novel devices, algorithms, […]

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. AltaML’s AI Lab […]

This project focuses on improving transformer-based models for quantitative finance (QFin) by addressing key limitations such as inadequate long-term memory, lack of sentiment analysis, and difficulties in handling multimodal data. While transformers have achieved breakthroughs in fields like protein folding and natural language processing, their application in finance still faces challenges. Existing financial transformers struggle […]

A common symptom of Parkinson’s Disease is freezing of gait (FoG), which entails that patients freeze while walking and cannot continue to walk. A way to stop the FoG is to prove some sort of external stimulus (cueing). This project entails the creation of a device to detect FoG (based on previous devices) and provide […]