SwissPedHealth includes several research projects which will show the benefits of the pediatric data stream. The “lighthouse project” aims to detect rare diseases in children with life-threatening conditions. As a novel aspect, the investigators study not only DNA which gives information on genes, but also RNA, which gives information on how proteins are built in the cells, and other molecules that give information on chemical processes within the cells. This data is analyzed using new and powerful computational methods, namely machine learning, to link clinical with biological data and find special patterns in children with rare diseases. The overall goal is to develop a first-of-its-kind workflow to detect rare diseases in critically ill children in a novel and more performant way. Knowing the reason why they are severely ill should speed up getting the right treatment. In addition, four “nested” projects use the data stream to focus on common child health problems that touch upon different areas such as obesity, cancer, lung disease, and antibiotics.
Despite the enormous importance of child health to society, the evidence to guide the best healthcare, such as diagnostics and therapies in children, remains limited. In Switzerland, the regional separation of hospitals makes it difficult to create effective and seamless research networks for children. Relevant data are produced daily when doctors document how they treat patients, but such information is not harmonized and often is of limited quality. The Pediatric Personalized Research Network Switzerland (SwissPedHealth) project, funded by the Swiss Personalized Health Network (SPHN) and the Personalized Health and Related Technologies (PHRT), aims to make routine clinical data from children’s hospitals available in a standardized format and thus boost high-quality pediatric clinical research in Switzerland.