Natalie Banner, Ismael Kherroubi García and Francisco Azuaje: Can Artificial Intelligence accelerate the impact of genomics?
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On this episode of the G Word, we delve into the promising advances that artificial intelligence (AI) brings to the world of genomics, exploring its potential to revolutionise patient care. Our guests discuss public perspectives on AI in genomics and address the ethical complexities that arise in this rapidly evolving field. Gain valuable insights into the future landscape of genomics and AI, as our experts discuss what to expect on the horizon.  Our host Natalie Banner, Director of Ethics at Genomics England, is joined by Ismael Kherroubi García, member of the Participant Panel and Ethics Advisory Committee at Genomics England, and Francisco Azuaje, Director of Bioinformatics at Genomics England.    “So, AI is already driving the development of personalised medicine for both research and healthcare purposes. [...] In the context of healthcare, we are talking about AI tools that can support the prioritisation, the ranking of genomic variants. To allow clinicians to make more accurate and faster diagnosis.”    You can read the transcript below or download it here: Can-Artificial-Intelligence-accelerate-the-impact-of-genomics.docx     Natalie Banner: Hello, and welcome to the G Word. In the past few years, artificial intelligence, or AI as a shorthand, has taken centre stage in the headlines. Sometimes for really exciting, positive reasons about the potential to drive improvements for society, and sometimes because of its potential risks and harms.  These discussions and stories can sometimes seem like they're straight out of science fiction. There are a lot of questions, excitement, concerns about the societal impact of AI, so not just looking at individual patients, but that broader what does this mean for society?   Ismael Kherroubi García: My somewhat hot take is that AI only accelerates societal impacts that genomics research and healthcare can have. So the impacts, of course, will be diverse and complex and quite widespread, especially given the quite nuance and sometimes difficult to understand areas of genomics and artificial intelligence.  But the key takeaway from what I want to say is that it only accelerates the impacts of genomics and healthcare. So if we take genomics research to promote human flourishing, ideally, artificial intelligence will also only help further human flourishing.  Conversely, applying artificial intelligence tools to genomics research can help perpetuate certain stereotypes and related harms.   Natalie Banner: My name is Natalie Banner, and I'm the Director of Ethics at Genomics England. On today's episode I'm joined by Ismael Kherroubi García, member of the Participant Panel, and Ethics Advisory Committee at Genomics England. And Francisco Azuaje, Director of Bioinformatics at Genomics England. In today's episode we aim to cut through the hype and hyperbole and explore the real possibilities for AI within the domain of genomics and healthcare. We'll look at how AI tools and techniques have been used to date, and what the future holds, considering both the benefits and challenges faced in the genomics ecosystem. If you enjoy today's episode, we'd love your support. Please like, share, and rate us on wherever you listen to your podcasts.   AI is in the news an awful lot, and not always for good reasons. There are many big and small tech companies that are exploring the use of AI in all walks of life, from finance to retail, to healthcare. And it's not always clear what AI means in these contexts, where it actually has the potential to really help people, drive improvements to healthcare and society, for example.  But there are some exciting stories, so recently, Genomics England undertook a collaboration with DeepMind on their AlphaMissense tool, and that sought to classify the effects of 71 million missense mutations in the human genome. So it could process data at a scale and a speed far faster than any human has ever been able to before. So there's an awful lot of ex
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