Deep learning based ultrasound guidance for robotic spinal interventions

Pedicle screws are used often in a spinal fusion to add support and strength to the fusion while it heals. Traditionally, a large incision is made to implant screws and rods that stabilize the spine. In contrast, percutaneous pedicle fixation is a minimally invasive spine surgery technique, performed through the skin without a traditional large […]

Read More
A Lipo-Polymeric Approach to Breast Cancer Gene Therapy

Nucleic acid-based therapies such as DNA and siRNA has equipped us with the freedom to customize in our battle against specific cancers and other diseases. Especially the non-viral approach to deliver the therapeutic nucleic acids in a clinical setting provides a safer alternative to the viral gene therapy systems. However, to achieve a clinically relevant […]

Read More
Quantification of anti-SARS-CoV-2 spike RBD IgG antibody and SARS-CoV-2 virus

The project is focused on designing and developing a novel point of care analytical device using functional magnetic microparticles that can quantitatively determine the concentration of anti-SARS-CoV-2 antibody and SARS-CoV-2 viruses in human saliva and serum. This approach will allow mass testing in the general population to assess past or current infection. Furthermore, it can […]

Read More
Development of a medical training mannequin for ultrasound-guided needle interventions

Achievement of competence in medical interventions requires practice, and early stages of practice are best done in simulation, typically using some combination of digital (computer generated) and physical (mannequin) models. The overall objective of the pro;osed MITACS Globalink project is to design, implement and evaluate a practical embodiment of the novel low-cost ultrasound-guided kidney intervention […]

Read More
AI-based interpretation of lung ultrasound

Lung ultrasound is an efficient and widespread method used in bedside diagnostic examinations. The interpretation of ultrasound in emergency care is an extremely difficult task, especially for less experienced physicians. The objective of the project is to implement and validate comprehensive AI-based approach using deep learning to assist in identifying diagnostically relevant imaging features and […]

Read More
A soft magnetic small-scaled robot for biomedical applications

This study aims to develop a soft and flexible magnetic millirobot based on elastic and biocompatible polymers that can generate voltage as it moves. By using this proposed millirobot, locomotion efficiency can be increased with a decrease in resistance under challenging and harsh conditions in stomachs and digestion systems. In addition, it can serve as […]

Read More
Development of an in vivo liver cancer model for immunotherapy validation

Many liver cancer cases are diagnosed at advanced and inoperable stages, at this point, the disease is highly lethal and most patients do not survive more than a year. Currently, the front-line treatment for inoperable liver cancer is antibody-based immunotherapy, but only 30% of patients respond to this therapy. Our lab has developed a lipid […]

Read More
Epictrode – Customizable Printed Medical Tattoo Electrodes for Bio-signal Acquisition

The proposed research project is focused on customizable medical tattoo electrodes used on patients in different clinical settings. These electrodes are placed in specific places on the body and are connected to medical signal acquisition systems to collect different medical signals. The signals can include ECG (heart) signals and EMG (muscle) signals, and these signals […]

Read More
Pathology and disease diagnosis using artificial intelligence and machine learning: Supervised and unsupervised deep-learning based methods on data from medical imaging procedures and patient chart analysis

Machine learning applications in healthcare have shown excellent inroads in medical imaging sciences in recent years. Our research aims to improve upon and open up doors into several different pathology diagnosis applications using artificial intelligence. Contemporary research into some of these applications has shown better diagnostic capacity than expert-level clinicians. Our research into artificial intelligence […]

Read More
Intensification of cell culture process for pandemic influenza vaccine production

More than half a million people die every year from complications of seasonal influenza, and vaccination stands as the most effective method to prevent and limit outbreaks of the disease. Cell culture processes offer a more flexible and responsive alternative for the current egg-based vaccine production systems. Intensification of cell-based vaccine manufacturing focus on the […]

Read More