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In case you missed the webinar on "Artificial intelligence in anti-infectives" watch the on demand recording.
Artificial intelligence (AI) can support antimicrobial treatment decisions by rapidly analysing large volumes of patient data, laboratory results, and local resistance patterns to recommend the most effective and targeted antibiotics. By integrating real-time information from electronic health records, AI can help clinicians choose optimal treatments while avoiding unnecessary or broad-spectrum antibiotic use. Additionally, AI systems can detect emerging trends in antimicrobial resistance, allowing for early intervention and improved infection control measures. This contributes to better stewardship of existing antibiotics and helps prevent the spread of resistant pathogens in both healthcare settings and the community. Our two eminent speakers provide real and timely intelligence on how much of this is possible now, what we may expect in the future, and how humans should use AI tools in infectious diseases.
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PROGRAMME
- Tracking antibiotic resistance with artificial intelligence
Prof. Adrian Egli (University of Zurich, Switzerland)
- Optimising antibiotic use with model-informed precision dosing
Prof. Sebastian Wicha (University of Hamburg, Germany)
Moderators
Prof. David Jenkins (ISAC Treasurer / University Hospitals of Leicester NHS Trust, UK)
Prof. Marco Falone (ISAC Executive Committee / University of Pisa, Italy)
SPEAKER BIOS
Prof. Adrian Egli is the chair of medical microbiology and the director of the Institute of Medical Microbiology at the University of Zurich, Switzerland. His research focuses on host-pathogen interaction and studying how AMR and virulence evolves. For this he uses different -omics techniques and bioinformatics and machine learning techniques for data analysis.
Prof. Sebastian Wicha is a leading the research group Clinical Pharmacy at the Institute of Pharmacy, University of Hamburg, Germany. His research group aims to improve and individualize drug therapy by means of pharmacokinetic-pharmacodynamic and pharmacometric techniques with a special focus on anti-infectives.
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