首页|Third Military Medical University - Army Medical University Reports Findings in Machine Learning (In silico analysis of intestinal microbial instability and sym ptomatic markers in mice during the acute phase of severe burns)
Third Military Medical University - Army Medical University Reports Findings in Machine Learning (In silico analysis of intestinal microbial instability and sym ptomatic markers in mice during the acute phase of severe burns)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Chongqing, People’s Re public of China, by NewsRx correspondents, research stated,“Severe burns may al ter the stability of the intestinal flora and affect the patient’s recovery proc ess.Understanding the characteristics of the gut microbiota in the acute phase of burns and their associationwith phenotype can help to accurately assess the progression of the disease and identify potential microbiotamarkers.”
ChongqingPeople’s Republic of ChinaA siaBacterial GenesBacterial GeneticsCyborgsEmerging TechnologiesGeneti c PhenomenaGenetic StructuresGeneticsGenomeMachine Learning
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