• Register for a new webinar, “Challenges in the regulation of AI Software as a Medical Device”, on July 28^th, 2021, at 4 pm BST / 11 am EDT / 8 am PDT. Software as a medical device (SaMD) that leverages artificial intelligence (AI) has the opportunity to reshape healthcare. It also raises unique challenges for developers and regulators. As healthcare advances and digital solutions leveraging AI become more prevalent, it is important that medical device regulatory frameworks also advance to match the speed of innovation. Our panelists are Loganathan Kumarasamy, Head of Scientific Informatics, Validation and Compliance services, North America, Zifo R&D; Pat Baird, Regulatory Head of Global Software Standards, Phillips; Nathan A. Carrington, Ph.D., Head of Digital Health and Innovation, Global Regulatory Policy and Intelligence, Roche Diagnostics. The panel will review key terms related to AI SaMD and describe unique regulatory challenges associated with devices that leverage AI. Additionally, the panel will explore novel regulatory approaches to the regulation of AI SaMD currently under consideration by international regulatory authorities.
• View the recording of our recent webinar, “Building the Future of Collaborative Research with Federated Learning.” Federated learning is a new machine-learning paradigm where multiple partners can collaborate on complex research questions without centralizing or sharing data outside of their organizations. For example, the MELLODDY consortium pioneers federated learning-based drug discovery across 10 pharma companies benefiting from the collective insights of the world’s largest cheminformatics data network where each participant retains full confidentiality and governance over their molecular libraries. Federated learning in healthcare can also facilitate knowledge transfer between medical researchers and data scientists, bridging the gap between AI and clinical care. The HealthChain project is a successful demonstration that an algorithm can be trained on siloed histology images, distributed across different hospitals, to predict treatment responses in breast cancer. Speakers: Mathieu Galtier, Chief Product Officer, Owkin; Hugo Ceulemans, Scientific Director Discovery Data Sciences, Janssen; and Dr. Guillaume Bataillon, Pathologist, IUCT Oncopole. This webinar generated a lot of questions. Some questions that could not be addressed live have been answered in writing.
• Have a look at the World Health Organization guidance outlining six key principles for the ethical use of artificial intelligence in health: here is a summary published by the Verge and the original document, as well as the Pistoia Alliance response to the announcement. Ethical issues in data ownership and paternalism in medical AI were explored in the recent literature and in the recent Pistoia Alliance webinar.
• Also have a look at a recent review on the de novo molecular design and generative models.

The Artificial Intelligence and Machine Learning Community is a great example of the value the Pistoia Alliance delivers to its members. There has never been a more important time to collaborate as an industry, and we hope you find our CoE inspiring and informative.  If you would like to find out more about the benefits of Pistoia Alliance membership and how you can get involved with all the different initiatives we run, please send an email to Membership@PistoiaAlliance.org.