Author

J.-J. Lu

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 3

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

H.-Y. Wang· 3 shared T.-W. Lin· 3 shared C.-R. Chung· 2 shared Y.-J. Tseng· 2 shared C.-H. Kuo· 1 shared C.-H. Wu· 1 shared J.-F. Hsu· 1 shared J.-R. Yu· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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3 shared papersMicrobiology

H.-Y. Wang

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Comparison of Multiple Carbapenemase Tests Based on an Unbiased Colony Selection Method

H.-Y. Wang, Y.-J. Tseng, W.-Y. Lin, Y.-C. Wang, T.-W. Lin, J.-F. Hsu, M. Y.-C. Wu, C.-H. Wu, S. Kalpana, J.-J. Lu

This study compares carbapenemase tests using an unbiased colony selection method, finding improved detection and highlighting performance discrepancies among tests.

Biomedicines · Sep 20, 2024Peer-reviewedMicrobiology

Rapid and accurate discrimination of Mycobacterium abscessus subspecies based on matrix-assisted laser desorption ionization-time of flight spectrum and machine learning

H.-Y. Wang, C.-H. Kuo, C.-R. Chung, T.-W. Lin, J.-R. Yu, J.-J. Lu, T.-S. Wu

This paper develops a machine learning model using MALDI-TOF spectra to rapidly and accurately identify Mycobacterium abscessus subspecies.

bioRxiv · Sep 6, 2022Microbiology

Rapidly predicting vancomycin resistance of Enterococcus faecium through MALDI-TOF MS spectra obtained in real-world clinical microbiology laboratory

H.-Y. Wang, K.-P. Lu, C.-R. Chung, Y.-J. Tseng, T.-Y. Lee, T.-H. Chang, M.-H. Wu, T.-W. Lin, T.-P. Liu, J.-J. Lu

This study develops a machine learning algorithm using MALDI-TOF MS spectra to rapidly and accurately predict vancomycin resistance in Enterococcus faecium isolates, improving antibiotic use accuracy by 30%.

bioRxiv · Mar 13, 2020 · PreprintMicrobiology