A Novel Bone Anabolic Treatment in a Mouse Model of Osteogenesis Imperfecta

Osteogenesis imperfecta (OI) is a heritable disorder that causes bone fractures. The drugs that are used at present help to decrease the number of fractures by about half, but most people with OI have many fractures despite receiving currently available treatments. Mesentech Inc has developed a new drug that has shown a strong effect on bone formation in rats. In this project, we will test the effect of this drug in a mouse model of OI. The new drug will be injected three times per week during a period of four weeks and the effect on bone strength will be assessed.

Radiofrequency Treatment for Emphysema in Mouse Model

Emphysema, a lung disease that millions of Canadians currently suffer from, has few safe and non-invasive options available. One of the features of emphysema is the lack of proper blood flow in the diseased lungs and this results in poor gas exchange. IKOMED Technologies Inc. has been developing a new technology that has the potential to remove diseased lungs non-surgically. The initial proof-of-concept experiments have already been tested and validated using rat models with Dr. Don Sin.

Effects of a digital lifestyle change program on prediabetes indicators, health outcomes and cost effectiveness.

The number of Canadians living with diabetes is at an all-time high as are the consequential healthcare costs. A scalable solution to this public health crisis is needed. The aim of this research project is to evaluate Transform, a digital health program created by Blue Mesa Health. The program is designed to prevent diabetes by helping people adopt healthier lifestyles. By analyzing existing Transform participant metrics and program outcomes, the intern will seek to understand the nature of the program’s impact on diabetes prevention.

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.

Blood product demand forecast modeling using clinical predictors

Blood transfusion is one of the most crucial and commonly-administrated therapeutics worldwide. The need for more accurate and efficient ways to manage blood demand and supply is an increasing concern in many countries. Building a technology-based robust blood demand and supply system that can achieve the goal of reducing the costs of wastage and shortage, while maintaining the safety of blood usage, is essential in modern healthcare organizations. Many countries have recognized the importance of applying technology and mathematical models into blood inventory planning and management.

Applying Machine Learning to Human Motion & Musculoskeletal Health: Predicting ACL Injury & Recovery from Monocular Video

Active people, and young athletes in particular, are at high risk of tearing the anterior cruciate ligament (ACL) with 200,000/year occurring in the United States. However, current effective methods to assess functional test performance are onerous, lengthy (~1hr), complex and costly. Curv Labs is a Canadian start-up that leverages computer vision and artificial intelligence to help assess, identify, and manage musculoskeletal performance and problems, and does so, using only simple video, such as that taken from a mobile device.

Ultrasound Device for Superficial Targets

This project intents to design and build a prototype for a device that uses low-intensity ultrasound for localized treatment of malignant skin cells. The industrial partner is interested on evaluate the performance of a current cosmetic device and the feasibility to use a device with similar characteristics to treat malignancy. We propose to first characterize this existing device to determine the conditions of operation, then evaluate the biological effects that are expected for those conditions.

Developing the Microsoft HoloLens for cognitive-motor dual-tasking.

People living with a disease or injury that affects their brain face daily challenges related to impaired cognitive function – including memory, reasoning, planning, and problem solving – and motor function particularly during tasks that concurrently challenge cognitive and motor function, such as grocery shopping, navigating new or busy environments, or simply having a conversation while walking.

The effects of the dietary supplement Cardioflex on reducing cardiovascular disease risk factors in adults.

Heart disease and stroke are the leading causes of death and prescription drug use in Canada. In 2011, it was estimated that 1.6 million Canadians are living with heart disease or the effects of a stroke. One person every 7 minutes dies from heart disease or stroke in Canada. The purpose of this clinical trial is to take adults who are at risk for developing cardiovascular disease but are otherwise healthy and to determine whether daily supplementation with Cardioflex for 90 days will reduce their risk factor markers such as blood lipid (e.g. cholesterol and triglyceride).

Machine Learning for Digital Pathology

Histopathology is the study and examination of tissue slides under magnification and is the definitive diagnosis for many diseases including cancer. With the advent of whole-slide scanners and image management software systems, computational pathology tools can be created to measure disease in an efficient and objective manner. This is in contrast to the labourious and subjective manual analysis approaches. In Canada, breast cancer is the 2nd cause of cancer death.