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Scientists are predicting individual risks for 20 different types of cancer with a high degree of accuracy. The prediction model could help to identify people with a high risk of cancer, for whom individualized early detection programs could be tested in studies.
Scientists from EMBL's European Bioinformatics Institute (EMBL-EBI) and the German Cancer Research Center (DKFZ) have used Danish health registries to predict individual risks for the 20 most common types of cancer.
Scientists from the German Cancer Research Center (DKFZ) and the Cambridge Stem Cell Institute have developed an AI system that recognizes and characterizes white and red blood cells in microscopic images of blood samples.
Bird flu, another coronavirus, superbugs or Zika? These are just some of pathogens experts that sat on the Government's SAGE panel during the Covid crisis say could spark the next pandemic.
There have been 13,880 new community cases of Covid-19 in the past week, the lowest number in three months, the Ministry of Health reported today. There we