Papers
1
Total Citations
6
H-Index
1
About
Huong Trinh is a biomedical researcher whose work centers on advancing antibacterial pharmacodynamics through innovative laboratory automation. Her primary research areas include in vitro infection modeling, bacterial growth quantification, and the development of high-throughput platforms for antimicrobial susceptibility testing. Trinh’s most notable contribution is the creation of a fully automated platform for agar-based measurement of viable bacterial growth, published in 2022. This system addresses a critical bottleneck in dynamic in vitro antibacterial studies, which require frequent sampling to monitor pharmacodynamics (PD) and determine effective dosing strategies before transitioning to in vivo models. By automating the labor-intensive process of quantifying bacterial load, her work significantly reduces manual workload while improving reproducibility and throughput. With 6 citations to date, this paper has already garnered attention from researchers seeking more efficient tools for preclinical antibiotic evaluation. Trinh’s platform represents a practical step toward streamlining the drug development pipeline, offering a scalable solution that could accelerate the identification of optimal dosing regimens. Her research is particularly valuable for scientists and students working in antimicrobial resistance, pharmacokinetics, and translational microbiology, where precise, high-frequency PD data are essential.
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Top Papers
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