{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/6ab68083fb182c6fb5da5ef7/6ab693ae59a98735e199ea11?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Advancing Immunology with Machine Learning","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/6ab68083fb182c6fb5da5ef7/1790349698485-6481a40c-cd43-4e2e-8d5f-48f68f4b5b74.jpeg?height=200","description":"<p>In this episode, William Henson, Senior Editor at <em>Nature Machine Intelligence</em>, draws on recent research articles to explore how machine learning is being applied to some of immunology&#39;s most complex challenges. From understanding immune responses to identifying therapeutic targets, we highlight recent developments across the field.</p>","author_name":"Hope Jennings-Grounds"}