UCL and UCLH to apply AI to tackle anti-microbial resistance
UCL and UCLH are set to apply artificial intelligence to tackle the global threat of anti-microbial resistance (AMR) after being awarded £3.3m in government funding.
Prof Judy Breuer at UCL will lead a team of researchers and clinicians at UCL, UCLH – including AMR expert at UCLH Prof Peter Wilson – and Great Ormond Street Hospital (GOSH) for the ‘Precision AMR (anti-microbial resistance)’ initiative to improve tests for antimicrobial resistance and to develop AI (artificial intelligence) algorithms to rapidly interpret test results.
They aim to enable earlier diagnosis and treatment with the right antibiotic; ensure treatment with the right dose and combination of drugs; and prevent the spread of antibiotic resistant infections.
EADA 2023
Emerging Antimicrobials and Diagnostics in AMR 2023
International Matchmaking Symposium EADA 2023
Amsterdam, The Netherlands
16/17 November