Schizophrenia is a complex neurodevelopmental disorder that affects approximately 1% of the population worldwide. Although research on schizophrenia is ongoing, little is still known about its origin. Schizophrenia is thought to result from a combination of genetic and environmental factors that ultimately lead to decreased brain volume and cortical thickness changes in energy metabolism or […]

The internship will concern studying the role and impact of specific proteins (in particular tubulin) in cancer, and the identification of prognostic markers of cancer progression and predictors of cancer response to existing and new compounds (mainly based on microarray data analysis and protein structure prediction). This project will involve working on preparation of relevant […]

This research involves mathematical analysis of the recorded brain electrical signals in epilepsy patients with the aim of developing a seizure prediction and classification system. The seizure is an abnormal activity of the brain cells that requires immediate medical attention. The process of recording brain signals is performed for clinical and diagnosis purposes by the […]

Typically, movement of the patient during any medical imaging scan will result in a degraded final image if this motion is not accounted for. This research project aims to use the video from two cameras, recording from different angles, to estimate the motion of a patient’s head during a PET (positron emission tomography) scan. By […]

Pharmacokinetics, the study of a drug’s course through the body, is an essential quantitative tool used in all stages of drug development and administration. The liver is the primary site of drug metabolism and elimination from the body, but it is difficult to model due to its complex structure. A virtual organ will be developed […]

The intern will assist the Greater Moncton Sewerage Commission (GMSC) in the development and production of biologically-safe composts from biosolids by providing novel technologies to assess its biosafety. To achieve this, the intern will develop molecular tools, based on the real-time polymerase chain reaction (PCR) technology, to allow quick, accurate and reliable detection of human […]

NeuroRx is a Montreal, QC-based company which provides professional management of MRI-related study activities and delivers precise MRI outcome measurements that are performed in a regulatory compliant environment. This internship research project will involve image processing to quantify local volume changes in serial MR images of the brain based on deformation field analysis using techniques […]

The intern’s project aims to investigate how cognitive and functional abilities of patients treated for mild/moderate Alzheimer’s disease (AD) change over time. Despite of neurodegenerative nature of AD, these changes might occur in every direction. According to our preliminary investigation, both improvement and worsening are possible. We will compare the long-term changes during 48 months […]

Biodiversity is critical in mediating, and even preventing, the spread of emerging zoonotic diseases, or diseases that are transmissible from wildlife to human populations. These include avian flu and Hantavirus. Understanding how threats to biodiversity conservation may also threaten human health is urgent, particularly as human development, changing environmental conditions and global trade are facilitating […]

During the last few years, Breast Microwave imaging (BMI) has shown its potential as an alternative technique for breast cancer detection. BMI offers a variety of features, such as a high contrast between cancer and breast tissue and non-compressive image acquisition procedures which would make its use desirable in a clinical environment. Due to the […]

NeuroRx is a Montreal, QC-based company which provides professional management of MRI-related study activities and delivers precise MRI outcome measurements that are performed in a regulatory compliant environment. The intern’s project will involve examining the computational issues associated with multi-dimensional analysis, namely, the computational efficiency and memory utilization, while creating an N-dimensional algorithm for segmenting […]

Many hospitals use image-guided cone-beam computed tomography (CT) to provide qualitative treatment for cancer patients. Although cone-beam CT provides good volumetric images, it takes a while to reconstruct them, which limits its applications because in many cases, real-time spatial information about patient’s internal structures is needed. To overcome this slow image reconstruction problem and missing […]