首页|Capital Medical University Reports Findings in Antifungals (Application of Raman spectroscopy and machine learning for Candida auris identification and characte rization)
Capital Medical University Reports Findings in Antifungals (Application of Raman spectroscopy and machine learning for Candida auris identification and characte rization)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Drugs and Therapies - Antifungals is the subject of a report. According to news originating from Beiji ng, People’s Republic of China, by NewsRx correspondents, research stated, “an e merging fungal pathogen characterized by multidrug resistance and high-mortality nosocomial infections, poses a serious global health threat. However, the preci se and rapid identification and characterization of remain a challenge.”Funders for this research include MOST | National Key Research and Development P rogram of China, MOST | National Natural Science Foundation of China, MOST | Nat ional Natural Science Foundation of China.
BeijingPeople’s Republic of ChinaAsi aAntifungalsCyborgsDrugs and TherapiesEmerging TechnologiesHealth and MedicineMachine Learning
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