ESPAÑOL If cancers are detected early, the chances of cure are generally higher, and patients require less intensive treatment. However, screening programs for the early detection of cancer only exist for a few tumor diseases -- and not all people take advantage of these offers.
If there were a simple way to filter out people with a very high risk of developing cancer, screening programs could be developed specifically for those at risk. Researchers led by Moritz Gerstung from the DKFZ and the European Bioinformatics Institute EMBL-EBI, Hinxton, UK, have now published a feasibility study on this topic. The data scientists used the comprehensive data from the Danish health register, in which all clinical diagnoses of the population are stored, to quantify the individual disease risks for 20 different types of cancer.
Know more: https://www.sciencedaily.com/releases/2024/05/2405...
Scientists from the German Cancer Research Center (DKFZ) and the European Bioinformatics Institute EMBL-EBI, Hinxton, UK, are using the Danish health registers to predict individual risks for 20 different types of cancer with a high degree of accuracy. The prediction model can also be transferred to other healthcare systems. It could help to identify people with a high risk of cancer, for whom individualized early detection programs could be tested in studies.
