首页|Department of Laboratory Medicine Reports Findings in Helicobacter pylori (Detection of Helicobacter pylori infection in human gastric fluid through surface-enhanced Raman spectroscopy coupled with machine learning algorithms)

Department of Laboratory Medicine Reports Findings in Helicobacter pylori (Detection of Helicobacter pylori infection in human gastric fluid through surface-enhanced Raman spectroscopy coupled with machine learning algorithms)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Gram-Negative Bacteria - Helicobacter pylori is the subject of a report. Accordingto news reporting out of Huai’an, People’s Republic of China, by NewsRx editors, research stated, “Diagnosticmethods for Helicobacter pylori (Hp) infection include but are not limited to urea breath test, serumantibody test, fecal antigen test, and rapid urease test. However, these methods suffer drawbacks such aslow accuracy, high false-positive rate, complex operations, invasiveness, etc.”

Huai’anPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesEpsilonproteobacteriaGram-Negative BacteriaHealth and MedicineHelicobacterHelicobacter pyloriMachine LearningParasitic Diseases and ConditionsProteobacter

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.5)