Cancers are treated today with the appropriate combination of chemotherapy drugs, surgery and radiation. Chemotherapy is almost invariably dosed intravenously, and enters the systemic blood flow where it circulates around the whole body, coming into contact with healthy cells as well as cancerous ones. This systemic dosing has two big problems: too little drug gets to cancer cells, and too much drug comes into contact with healthy cells, causing side effects. Frequently, these dose-limiting side-effects prevent us from delivering the maximally effective anti-cancer drug dose.
Antipsychotic medication is associated with a constellation of metabolic abnormalities, including weight gain, an imbalance between glucose and insulin actions, and higher than normal lipid content. In particular, adolescent psychiatric patients are at increased risk for Type II Diabetes and cardiovascular disease when undergoing therapeutic treatment. Current analysis indicates that antipsychotic drugs have differing effects on body weight gain and fat content.
In Canada, 25,500 men will be diagnosed with prostate cancer in 2011, and 4,100 will die of the disease. New approaches are required to predict clinical outcome and personalized management of patients. Drs. Mai and Cayre will combine their two newly developed technologies and work towards obtaining a new solid biomarker that enables the assessment of a patient’s clinical outcome from the start. With the use of special filters, circulating tumour cells (CTC) will be isolated from prostate cancer patients’ blood.
Women with breast cancer often undergo mastectomy, or removal of the breast. Afterwards, they may elect to reconstruct their breast using one of several methods. One of these methods is by implantation with a permanently adjustable prosthesis which may show a smaller budgetary impact.
This project aims at developing a computerized system for spine diagnosis. This system will improve the efficiency and efficacy of radiologists to diagnose patients’ spine problems. The development of the system involves devising a set of tailor-made mathematical formulation. These formulation are grounded on the state-of-the-art computer vision algorithms and they are capable of capturing the knowledge required during spine diagnosis. The computerized system employing these mathematical formulations will be able to mimic the human expert to perform basic image-based diagnosis of spine.