The research focuses on development and implementation of advanced software algorithms designed for the automated analysis of skin lesion images. The algorithms will be designed to run on mobile computing devices such as smartphones and tablets, and could be used by the general users as well as doctors for computer-assisted screening and diagnosis of skin cancer. For users, our computer program will automatically compute the risk score for skin lesions based on the previously diagnosed cases, and for doctors, it will use machine learning to assist in making the best diagnostic decision.
Medella Health is developing contact lenses that continuously detect blood glucose levels to better manage diabetes and improve the quality of life for diabetic patients. Patients have a difficult time monitoring and maintaining their blood glucose levels because current systems are invasive, discontinuous and do not generate the continuous feedback necessary for patients to take immediate action.
A cochlear implant (CI) is a complex electronic device designed to provide the sensation of sound to profoundly deaf or severely hard-of-hearing individuals. Imaging of the implanted CI electrode would assist manufacturers in verifying the efficacy of their designs and would also provide important information to clinics for programming CIs post-surgery. However, the size and position of the cochlea in the body make it difficult to image using clinical imaging scanners.
The aim of the project is to develop molecules capable of treating cancer. Currently, chemotherapeutics used in the clinic kill cancer as well as healthy cells; this broad mechanism of action results in high toxicity to the patient. In contrast, our approach is to generate a targeted therapeutic that will work against STAT5, a specific protein which is overexpressed in breast cancer. This approach will limit the toxicity associated with currently used treatments.
The project relates to the fabrication of polymeric devices capable of mimicking that of live human tissue under x-ray computed tomographic (CT) imaging. These devices must be fabricated in such a way that specific material properties are controlled to thereby precisely mimic the desired tissue. The work following this will benefit the partner organization as they will be able to optimize CT imaging conditions by means of precise tissue mimicking polymeric devices.
Les études démontrent que 15-20 % des patients sont insatisfaits en post prothèse totale du genou. Plusieurs de ces patients présentent de la douleur antérieure. Dans le cas du syndrome fémoro-patellaire, différents déficits biomécaniques pouvant expliquer ces symptômes ont été identifiés. Cependant, aucune étude ne s’est intéressée à la biomécanique du genou chez une population souffrant de douleur post prothèse.
There is a major technology gap for simple unobtrusive pressure insoles that can be used while running to provide feedback to athletes looking to improve performances and prevent injuries. Orpyx Medical Technologies have created a pressure sensitive insole capable of providing real-time foot pressure feedback to patients with peripheral neuropathy. With minor modifications, the Orpyx SurroSense Rx TM insoles could be used to address the measurement needs of runners. This project will provide hardware modification recommendations to Orpyx to optimize their insoles for running.
Prostate cancer is the second most cancer related death in men, accounting for over 111 M$ yearly in Canada. Current prostate biopsy or therapy procedures such as transperineal brachytherapy use transrectal ultrasound guidance and a template to guide needles along parallel trajectories. However, pubic arch interference (PAI) with the implant path obstructs part of the prostate from being targeted by the brachytherapy or laser ablation needles.
This project is aimed to develop an inexpensive device for general public in monitoring skin healthcare condition. The device will be able to take magnified images of skin in order to observe more detailed skin conditions. A low cost version of the device will be able to attach to a smartphone and use the built-in camera on the smartphone to take skin images. Another stand along version of the device will have a camera itself and will be able to wirelessly transmit images taken to other devices, such as PC or tablet.
With the advances of medical imaging, accurate diagnosis has been significantly enhanced, especially when utilizing cross-modality imaging for complicated diagnoses such as the spine and cardiovascular system. However, cross modality image processing poses a challenge due to large amount of data generated. Computer Tomography (CT) and Magnetic Resonance Imaging (MRI) images, for example, have great capacity for screening, diagnosis, treatment and prevention of cardiac and spinal diseases.