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The journal also publishes research that presents methodological, theoretical, or conceptual advances in machine learning and AI with applications to medicine and health sciences.</p> <p><b>Free for readers. 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Our goal is to empower researchers and practitioners with a platform that not only showcases innovation but also inspires collaboration across the global health and AI and machine learning communities." <strong>Jimeng Sun, Editor-in-Chief, University of Illinois Urbana-Champaign, USA</strong><br/><br/><br/><br/><br/><br/></p> <h4>Why should you publish in <em>Machine Learning: Health</em>?</h4> <p><strong>Flexible and innovative article formats:</strong> In addition to Research articles and Reviews, you can publish Dataset articles, Benchmarks and Challenges, recognising the diverse publishing needs of researchers working at the interface of machine learning and AI across the sciences.</p> <p><strong>Open access:</strong> your paper will be published under a CC BY licence, enabling immediate and perpetual access, and permitting the widest possible dissemination and reuse of your research.</p> <p><strong>High quality peer review:</strong> all articles will be rigorously peer reviewed by IOP Publishing's global network of expert reviewers, supported by our top-level Editorial Board.</p> <p><strong>Fast publication:</strong> we are committed to providing you with a fast, professional service to ensure rapid first decision, acceptance and publication. Once accepted, your article will be accessible to readers within 24 hours and will include a citable DOI.</p> <p><strong>Pre-print friendly:</strong> you are encouraged to post on community pre-print platforms.</p> <p><strong>Data and code:</strong> research published in <em>Machine Learning: Health</em> can include citable datasets and programmable code.</p> <p><strong>Society-owned:</strong> IOP Publishing is a leading society publisher of advanced physics research. 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