首页|Shanghai Jiao Tong University School of Medicine Reports Findings in Sepsis (Met abolic biomarkers of neonatal sepsis: identification using metabolomics combined with machine learning)
Shanghai Jiao Tong University School of Medicine Reports Findings in Sepsis (Met abolic biomarkers of neonatal sepsis: identification using metabolomics combined with machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Blood Diseases and Con ditions - Sepsis is the subject of a report.According to news reporting from Sh anghai, People’s Republic of China, by NewsRx journalists, researchstated, “Sep sis is a common disease associated with neonatal and infant mortality, and for d iagnosis,blood culture is currently the gold standard method, but it has a low positivity rate and requires more than2 days to develop. Meanwhile, unfortunate ly, the specific biomarkers for the early and timely diagnosis ofsepsis in infa nts and for the determination of the severity of this disease are lacking in cli nical practice.”
ShanghaiPeople’s Republic of ChinaAs iaBiomarkersBlood Diseases and ConditionsBloodstream InfectionCyborgsD iagnostics and ScreeningEmerging TechnologiesHealth and MedicineMachine Le arningSepsisSepticemia
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