Engineering a diagnostic platform for rapid breath-based respiratory pathogen identification and treatment monitoring
设计一个诊断平台,用于基于呼吸的呼吸道病原体快速识别和治疗监测
基本信息
- 批准号:10331914
- 负责人:
- 金额:$ 24.9万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-07-01 至 2024-06-30
- 项目状态:已结题
- 来源:
- 关键词:Acute respiratory infectionAftercareAmidesAminesAnimalsAntibiotic TherapyAntibioticsAntimicrobial susceptibilityBacteriaBacterial PneumoniaBar CodesBiological AssayBlindedBloodClassificationClinicalDataDetectionDiagnosisDiagnosticDiagnostic testsDiseaseDrug resistanceEarly DiagnosisEngineeringEnzymesFingerprintFluorocarbonsGoalsImmune responseIn VitroInfectionInhalationLeukocyte ElastaseLigandsLungMass Spectrum AnalysisMeasuresMentorsMethodsMonitorMusPeptide HydrolasesPeptidesPharmaceutical PreparationsPhasePredispositionPrognosisPseudomonas aeruginosaRandomizedReporterResearch PersonnelResistanceSensitivity and SpecificitySignal TransductionSpecificitySputumSurvival RateSystemTestingTimeTissuesValidationWorkantimicrobial drugbaseclassification algorithmcohortdiagnostic platformextracellularin vivoin-vivo diagnosticsmouse modelnanoparticlenanosensorspathogenpathogenic bacteriapathogenic funguspathogenic virusportabilityrandom forestresistant strainrespiratory pathogenresponseurinaryventilator-associated pneumoniavolatile organic compound
项目摘要
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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LESLIE CHAN其他文献
LESLIE CHAN的其他文献
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{{ truncateString('LESLIE CHAN', 18)}}的其他基金
Engineering a diagnostic platform for rapid breath-based respiratory pathogen identification and treatment monitoring
设计一个诊断平台,用于基于呼吸的呼吸道病原体快速识别和治疗监测
- 批准号:
10626900 - 财政年份:2019
- 资助金额:
$ 24.9万 - 项目类别:
Engineering a diagnostic platform for rapid breath-based respiratory pathogen identification and treatment monitoring
设计一个诊断平台,用于基于呼吸的呼吸道病原体快速识别和治疗监测
- 批准号:
9805608 - 财政年份:2019
- 资助金额:
$ 24.9万 - 项目类别:
Engineering a diagnostic platform for rapid breath-based respiratory pathogen identification and treatment monitoring
设计一个诊断平台,用于基于呼吸的呼吸道病原体快速识别和治疗监测
- 批准号:
10430287 - 财政年份:2019
- 资助金额:
$ 24.9万 - 项目类别:
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