Ep 18. François Lebreton & bioinformatics. Machine Learning approaches in AMR.
2020-05-04
May the 4th be with you! Welcome back to our studio, fellow listeners. We are thrilled to bring you an episode looking into some of the newest approaches within AMR research. First, we feature an interview with bioinformatician Dr. François Lebreton, whose primary work consists of using DNA sequence analysis to study outbreaks of resistant strains. In the news section, we talk about machine learning and present two recently published articles about its use in pathogen identification, susceptibility testing and drug discovery. We hope you enjoy it!
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Relevant Links:
- François Lebreton twitter page.
- Next Strain project.
- ICARe course website.
Further Reading:
- Machine learning for microbial identification and antimicrobial susceptibility testing on MALDI-TOF mass spectra: a systematic review. First publication covered in the news section.
- A Deep Learning Approach to Antibiotic Discovery. Second publication covered in the news. Not open access.
- An Unexpected Ally in the War With Bacteria. News coverage by The Atlantic about using Machine Learning to find new antibiotics.
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