Using machine learning to super-charge anti-infective drug discovery: the case of Halicin


Yes, it’s true. There is more to HCAI & AMR (and this blog) than COVID-19! To prove it, I’m posting on something different today – the use of AI to streamline the anti-infective drug discovery process. Scientists at MIT have used machine learning (aka “deep learning”) to improve the drug discovery process, by predicting antimicrobial activity in molecules that are different from known antibiotics. This process has yielded Halicin, a promising candidate molecule for a broad-spectrum antimicrobial agent – which is, of course, a long way from clinical trials!

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Are the robots taking over? The role of machine learning and AI in tackling infectious diseases

I attended a brilliant seminar at Imperial College last week on the role of machine learning and artificial intelligence (AI) in infectious management, and to a lesser extent, infection prevention and control. There’s so much potential for this exciting technology to revolutionise the way we identify, treat, and prevent the spread of infectious diseases. But, there’s also some risks – some are already asking whether the robots are taking over, and whether that is an entirely good thing!

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