摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-许多与细菌有关的疾病，如炎症性肠病或结直肠癌，与肠道细菌的过度生长有关，这些细菌被认为是不良行为者。但是当研究人员使用一种机器学习算法来预测微生物的密度叫做微生物负荷，来自它们的肠道他们发现微生物负荷的变化，而不是疾病，可能是背后的驱动因素疾病相关微生物种类的存在。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Many bacterial-linked illnesses, such as inflammatory bowel disease or colorectal cancer,are associated with an overg rowth of gut bacteria thought to be bad actors. But when researchers useda mach ine learning algorithm to predict the density of microbes-called microbial load, from their gutmicrobiomes, they found that changes in microbial load, rather t han the disease, could be a driver behindthe presence of disease-associated mic robial species.
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