The project involves the modeling of the metabolism of TB. I developed an algorithmic pipeline called MetaMerge, which allowed me to reconcile differences in format, nomenclature, and annotation, between two models of TB metabolism. MONGOOSE, another doctoral project of mine, is a tool for analyzing metabolic network models in exact arithmetic, resulting in consistent, reproducible […]

22q11.2 deletion syndrome (22qDS) affects 1/4,000 newborns. People with this condition can have various medical problems. Approximately 30% develop psychiatric illness (e.g bipolar disorder or schizophrenia). A recent study explored parents’ experience of receiving a diagnosis of 22qDS for their child. Families identified an unmet need for information from their healthcare providers about the psychiatric […]

Body composition, i.e., the proportion of fat and muscle tissues in the human body is related to the risk factors associated with a host of medical conditions. The muscle and fat tissues are target locations for the water- and fat-soluble drugs respectively used for cancer treatment. Consequently, the proportions of these tissues are believed to […]

The first step is reviewing what has already been done in the lab and around the globe. Then we will Identify the biomarkers to target and techniques that can be used to do so. Next is to design a device in such a manner that the desired interaction is happening for efficient sensing of the […]

This research explores the concept of Internet of Things and how the current technology of smartphones can be used to improve the continuous health monitoring of pregnant women across the globe. A very convenient and cost-effective system has been proposed to ensure a completely non-invasive way of collecting the biometric data of pregnant women and […]

This research project deals with categorizing women belonging to different developing countries into different health risk segments and sub segments and subsequently analyze patterns of diseases/infections in various geographical regions accordingly by using Optimized machine learning approach. XgBoost algorithm would be implemented to achieve this goal among other existing algorithms as this offers better model […]

L’immunothérapie est un traitement prometteur pour soigner le cancer et les infections virales. Ce traitement consiste à éduquer des cellules du système immunitaire, les lymphocytes T, pour qu’ils puissent éliminer les cellules problématiques du patient. Une des grandes difficultés est de fournir de l’aide spécialisée aux lymphocytes T pour faire leur travail. Cette aide vient […]

Antibiotics are used to treat bacterial infections. Interactions between certain antibiotics and medicines may cause side-effects and decreased effectiveness of antibiotic therapy. Quite often, the prescription consists of multiple antibiotics to treat infections caused by different kinds of bacteria and it requires thorough knowledge of the interactions among these antibiotics and other medicines. For example […]

words) Alexithymia is a personality construct that represents a reduced ability to identify and describe feelings, a limited imagination, and externally oriented thinking.not classified as a mental disorder in the DSM-IV. Alexithymia raises special clinical issues: 1) it is known to be a trait and distributed across the general population where prevalence is 8-10% (Karukivi, […]

Chronic obstructive pulmonary disease (COPD) is an inflammatory disorder of the lung, which is characterized by shortness of breath and progressive loss in lung function, and one that affects 2.6 million Canadians and 380 million people worldwide. The current therapies are very imprecise and none modifies disease progression or mortality. Therefore, there is a pressing […]

This project focuses on the power dissipation study of an ultrasonic guidewire under the frequency range from 1 to 6 MHz. There has been little research done in the field of using ultrasonic power transmission in angioplasty guidewires to perform drug delivery on drug-eluting stents. By using the results of this study, a new ultrasonic […]

Flexible wearable sensors have found increasing application in many situations, especially in biomedical engineering and health care. Recent research has presented methods for fabricating flexible, stretchable, and conductive sensors using silver nanowires embedded in a flexible silicon elastomer (typically polydimethylsiloxane (PDMS)) as dry electrodes for ECG (electrocardiograph). In this project, we will investigate how the […]