Machine learning models using routine health data showed potential to identify people at higher risk of several common ...
A cfMeDIP-seq machine-learning model combining methylation and methylated fragment features distinguished 25 breast cancer ...
Machine learning models using routinely collected health information, such as blood tests, medical history and lifestyle ...
Red blood cell DNA profiling detected early gastric cancer with 82–89% sensitivity for Stage I disease across multicentre ...
Cancer continues to be one of the world's top causes of death, partly because of delayed discovery of the disease. But according to a recently released study, a simple blood test may be able to ...
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