The oncogenic kinase AKT1 is a prime therapeutic target, but its function cannot be easily researched as AKT activation in cells requires stimulation of cells with an unspecific growth factor that alters all cellular signaling. I designed a new method to deliver an already activated, phosphorylated AKT1 protein to cells that do not require the use of unspecific kinase activation or cell-damaging costly transfection reagents.

The project is a digital safety application that is a one-stop solution for safety, security and emergency. The app is disguised as a Recipe application so that the abuser does not know the victim is seeking our services. The app lets the trusted contacts of a victim know her location and whereabouts during emergencies, helps the victim to record incidents of abuse which might act as evidence in the court, connect the victims to local NGOs, helps the victim to perform a relationship risk assessment and provide a safety plan to help her break free from the abusive relationship.

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 a carrier for a drug-loaded sponge, LED, or sensor since it is capable of carrying different objects. Providing less risky treatment for both patients and physicians is the main goal of this project.

Detection and quantification of biological species are critical to many areas of healthcare and life science, either intending to diagnose diseases or discover and screen new medicine molecules. Central to detection are the biosensors that generate a signal associated with the selective recognition of a species of interest. Nanostructures, such as oxide nanowires with large surface-to-volume ratios, offer new and unique opportunities to develop novel biosensors.

The proposed research aims to exploit specific applications of epimeric pyrroloimidazolones (EPIs) for the synthesis of new drug leads. Two classes of biologically active molecules will be targeted. First, EPIs will serves as intermediates toward chiral bicyclic[2.2.2]octenes with nitrogen at the bridgehead position, which are known to have a broad range of biological activities. Second, EPIs will be used to develop a series of dihydrofurans such as nucleoside analogues that have known utility for treatment of various cancers.

Lipid-made nanoparticles are small delivery vehicles that can encapsulate therapeutics like mRNA and drugs. These tiny containers help to protect therapies until they are delivered into cells where they have better effects. A huge portion of the worldwide population have them in their bodies, thanks to mRNA COVID19 vaccines from Pfizer and Moderna.

There is no cure for PD. Limitations of the current Canadian health care environment, compounded by the effects of the pandemic, have led to infrequent and imbalanced access to care for PwP, which may contribute to inaccurate assessments, incorrect medication dosages, and undermanaged disease symptoms. To improve the lives of PwP, a chronic disease management and monitoring system is needed that involves the patients, their caregivers, and clinicians.

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 can be used to diagnose or simply monitor the respective systems (cardiac and skeletomuscular) in the body. This project is part of the Lab2Market program.

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 applications in healthcare include autonomous polyp and bone metastasis pixel-level detection, along with pathology detection in chest x-rays without explicitly labeled data.

As brain computer interface (BCI) is an emerging technology, this project attempts to understand the functionality of this technology from the user's perspective. To achieve this goal, a BCI-based application is developed, and users' ideas are collected from pre- and post-experience surveys. The previous study dealt with functionality of BCI in technical level and this project is more about the user experience.