Projekt

The NORDTREAT project will build on the achievements within recent large-scale European initiatives that includes cross-disciplinary collaborations between academia, hospitals, biomedical companies and patient organisations. The overall aim is to improve Inflammatory bowel disease (IBD) patients' prognosis and quality of life by introducing a novel personalized medicine algorithm that is based on recently generated -omics data.

Cancer in children is rare. But cancer remains the disease causing the most deaths in children over the age of 1 year. Most children, who die from cancer, do so because the standard treatment doesn't make their disease disappear (resistant disease) or because the disease returns (relapse of the disease). These children are at a high risk of dying from their cancer and we need to develop new treatments for them.

Globally, the leading cause of years of life lost is ischemic heart disease (IHD). In the EU 13.2 mio. patients are diagnosed with IHD(1) of these 700,000 live in the Nordic countries. IHD causes chest pain, myocardial infarcts, reduced physical capacity and reduces life-expectance. IHD is considered a chronic disease and may progress despite current optimal treatment.

The aims of the ALLTogether study are to improve survival and quality of survival for children and young adults with ALL. ALL in young people has excellent outcome with >90% survival in children and about 75% in young adults. However, patients still die of diseases after relapse as a result of under-treatment.

As the most commonly diagnosed malignancy and the 2nd leading cause of cancer-related death in men, prostate cancer (PC) is a major health care problem in the Nordic countries, where incidences will rise by 40% in the next 20-ys due to population aging.

The PERAID project proposes to implement personalized medicine (PM) in severe infectious diseases, specifically focusing on the life-threatening necrotizing soft tissue infections (NSTI) as well as the large heterogeneous group of sepsis patients.

Sleep apnea is a prevalent nocturnal breathing disorder and causes a high burden to the affected individuals, as well as to society and economy. However, current diagnostic methods for sleep apnea are complicated and labour-intensive processes involving various shortcomings related to measuring, analysing and reporting of data.