Antibiotic Optimisation

A randomised, multimethod study with 42 UK clinicians evaluating how an AI clinical decision support system for intravenous-to-oral antibiotic switching influences prescribing decisions, and how clinicians perceive it. The final paper from my PhD.

Gave a talk at ESCMID 2025 a leading global conference on infectious diseases on developing and prospectively evaluating an AI clinical decision support system.

Pitched Steward.ai as an innovative AI-powered decision support solution to disrupt antimicrobial resistance and help clinicians achieve precision antibiotic therapy.

Invited to give a talk on my PhD journey and the pathway for translating AI and machine learning systems from research settings into clinical use.

Defended my PhD thesis with no corrections.

Presented my work on evaluating clinicians perspectives and the potential impact of an AI-decision support system at ICID 2024 a leading global conference on infectious disease.

Invited to give a talk on my PhD research at the 2024 Advancing Data Technologies to Corner AMR (ADTCA) Conference. Talk starts at the time stamp 1:32:00 in the video.

Presented two posters at ESCMID 2024 a leading global conference on infectious disease.

Presented my PhD research to >100 people at an event exploring the impact of AI in research and practice on AMR.

Fair and interpretable machine learning models for individualised antimicrobial stewardship decision-making.