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2. A risk assessment framework for multidrug-resistant Staphylococcus aureus using machine learning and mass spectrometry technology.

7. Effect of an Artificial Intelligence-Assisted Antibiotic Susceptibility Test on Reducing the Mortality Rate of and Antibiotics Use in Patients with Bacteremia: A Prospective Observational Cohort Study

11. Rapid Antibiotic Resistance Serial Prediction in Staphylococcus aureus Based on Large-Scale MALDI-TOF Data by Applying XGBoost in Multi-Label Learning

13. RgS-Miner: A Biological Data Warehousing, Analyzing and Mining System for Identifying Transcriptional Regulatory Sites in Human Genome

14. Location Query Based on Moving Behaviors

18. Erratum for Wang et al., “Clinically Applicable System for Rapidly Predicting Enterococcus faecium Susceptibility to Vancomycin”

19. Clinically Applicable System for Rapidly Predicting Enterococcus faecium Susceptibility to Vancomycin

20. MDRSA: A Web Based-Tool for Rapid Identification of Multidrug Resistant Staphylococcus aureus Based on Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry

21. dbAMP 2.0: updated resource for antimicrobial peptides with an enhanced scanning method for genomic and proteomic data

23. Applying Genetic Algorithms To Query Optimization in Document Retrieval.

27. Extensive validation and prospective observation of the impact of an AI-based rapid antibiotics susceptibility prediction platform in multiple medical centers

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

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