Determination of minimum inhibitory concentrations using machine-learning-assisted agar dilution.
Alessandro GeradaNicholas HarperAlex HowardNada RezaWilliam W HopePublished in: Microbiology spectrum (2024)
This research uses modern artificial intelligence and machine-learning approaches to standardize and automate the interpretation of agar dilution minimum inhibitory concentration testing. Artificial intelligence is currently of significant topical interest to researchers and clinicians. In our manuscript, we demonstrate a use-case in the microbiology laboratory and present validation data for the model's performance against manual interpretation.
Keyphrases
- artificial intelligence
- machine learning
- big data
- liquid chromatography tandem mass spectrometry
- deep learning
- solid phase extraction
- gas chromatography
- liquid chromatography
- palliative care
- electronic health record
- mass spectrometry
- molecularly imprinted
- simultaneous determination
- tandem mass spectrometry
- high resolution