Leveraging machine learning and big data techniques to map the global patent landscape of phage therapy

被引：0

作者：

Fonkou, Maxime Descartes Mbogning ^{[1
]}

Kong, Jude Dzevela ^{[2
,3
,4
,5
,6
]}

机构：

[1] York Univ, Dept Math & Stat, Toronto, ON, Canada

[2] Univ Toronto, Dalla Lana Sch Publ Hlth, Artificial Intelligence & Math Modeling Lab, AIMM Lab, Toronto, ON, Canada

[3] Univ Toronto, Inst Hlth Policy Management & Evaluat IHPME, Toronto, ON, Canada

[4] Univ Toronto, Dept Math, Toronto, ON, Canada

[5] Africa Canada Artificial Intelligence & Data Innov, Toronto, ON, Canada

[6] Global South Artificial Intelligence Pandem & Epid, Toronto, ON, Canada

来源：

NATURE BIOTECHNOLOGY | 2024年 / 42卷 / 12期

基金：

加拿大自然科学与工程研究理事会;

关键词：

RESISTANCE;

D O I：

10.1038/s41587-024-02493-9

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

A patent analysis of the phage therapy field underscores a dynamic, evolving landscape marked by regional disparities and a shift in research focus towards broad-spectrum medical applications and treatments for bacterial infections. © Springer Nature America, Inc. 2024.

引用

页码：1781 / 1791

页数：11

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