Machine learning-guided design of bio-orthogonal metallic nanoparticles for biosensing of urinary tract infection-causing bacteria
Machine learning-guided design of bio-orthogonal metallic nanoparticles for biosensing of urinary tract infection-causing bacteria
机器学习引导的生物正交金属纳米粒子设计，用于尿路感染引起的细菌的生物传感
批准号：
449344
负责人：
Prakash Gayatri
金额：
$1.27万
依托单位：
依托单位国家：
加拿大
项目类别：
Studentship Programs
财政年份：
2020
资助国家：
加拿大
项目状态：
已结题
起止时间：
2020-12-01 至 2021-12-01
中文摘要
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英文摘要
Urinary tract infections (UTIs) are a highly prevalent communicable infectious disease caused predominantly by bacteria, with a higher incidence in women, children and the elderly. Due to the large variety of UTI-causing bacteria, the gold standard for di
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