Artificial intelligence-accelerated high-throughput screening of antibiotic combinations on a microfluidic combinatorial droplet system-Reference-Cited by-同舟云学术

Artificial intelligence-accelerated high-throughput screening of antibiotic combinations on a microfluidic combinatorial droplet system

Published:2023 Issue:18 Volume:23 Page:3961-3977
ISSN:1473-0197
Container-title:Lab on a Chip
language:en
Short-container-title:Lab Chip

Author:

Yang Deyu¹,Yu Ziming¹,Zheng Mengxin¹,Yang Wei¹,Liu Zhangcai¹,Zhou Jianhua¹²^ORCID,Huang Lu¹²^ORCID

Affiliation:

1. School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China

2. Key Laboratory of Sensing Technology and Biomedical Instruments of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, China

Abstract

An artificial intelligence-accelerated high-throughput combinatorial drug evaluation system was developed for rapid screening of antibiotic combinations and their dosage regimens.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

Link

http://pubs.rsc.org/en/content/articlepdf/2023/LC/D3LC00647F

Reference61 articles.

1. Bacterial Metabolism and Antibiotic Efficacy

2. Correlation between the use of antibiotics and development of a resistant bacterial infection in patients in the ICU

3. Antimicrobial Peptide-Conjugated MoS2-Based Nanoplatform for Multimodal Synergistic Inactivation of Superbugs

4. Molecular mechanisms of vancomycin resistance

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