Nonlinear Time Series Analysis for Prediction and Characterization of Brain Epileptic Activities

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 medical staff while the intern will be responsible for analysis of the recorded signals to design a predication algorithm and he will not be involved in data recording.

Statistical Modelling for Nursing Human Health Resources

This research project is part of a research study funded by the Ministry of Health and Long-term Care in Ontario. It examines the relationship among nursing service utilization, patient outcomes and population health care needs in long-term care/chronic care and community care/home care sectors in Ontario. It seeks to provide a needs-based Health Human Resources Planning approach to help policy makers in developing human resource strategies that target the nursing shortage and respond to the changing needs of the population over time.

Nonlinear Shape Statistics for Analysis of Musculoskeletal Structures and Anomalies

This internship will undertake an investigation of novel 3D shape descriptors relevant to three musculoskeletal disorders. The first is an investigation of the relationship between the shape of the bicipital groove of the proximal humerus (a groove in the head of the upper arm bone) and the incidence of injury to the long biceps tendon which is retained in the bicipital groove. The second is to characterize the shape of the spinal canal with the objective of correlating this characterization to a clinically-established measurement for spinal stenosis, or a narrowing of the spinal canal.

Mathematical and Computational Analysis of Shape from MR Images for the Study of Multiple Sclerosis

Everyday, three Canadians are diagnosed with multiple sclerosis (MS), which affects the brain and spinal cord, causing lesions and atrophy. MS produces deformation in the central nervous system, causing disability and in extreme cases, death. In the human brain, one of the many structures affected by MS is the corpus collosum. The corpus collosum contains millions of nerve bundles which connect the two brain hemispheres by acting as a bridge for the inter-hemispheric communication. Deformation of the corpus collosum, therefore, causes disruption of nerve impulses along the nerve fibres.

Characterization and Prediction of Cancer Drug Resistance Markers Based on Data Mining of Microarray Profiles

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).

A Putative Genetic Disease Model of Schizophrenia

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 altered synaptic functioning.

Statistical Modelling and Analysis of Complex Traits in Human Populations

Systematic Inflammatory Response Syndrome (SIRS) is an inflammatory response to a variety of severe clinical conditions such as infection, shock or trauma. An example of SIRS is sepsis, a systematic inflammatory response to infection. Sepsis is the most common diagnosis and cause of death among critically ill patients from intensive care units, occurring in about 1% of all hospitalized patients. SIRS is a complex genetic disorder involving a number of genes that act in conjunction with lifestyle and environmental factors to increase an individual's risk of developing the illness.

Optimal Sequencing of Surgery/Chemotherapy in Ovarian Cancer treatment

Detecting ovarian cancer is, in general, difficult because of the lack of effective screening tests. If the disease is discovered when confined to the ovaries, surgery alone is curative in more than 90% of patients - however, in most patients, diagnosis only occurs after dissemination beyond the ovaries. In these cases, a combined treatment of surgery and chemotherapy is necessary. Unfortunately prognosis is grim and median survival is only 3 years despite treatment.

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