• Register for a new webinar, “Building the Future of Collaborative Research with Federated Learning”, on June 30^th, 2021, at 4 pm BST / 11 am EDT / 8 am PDT. 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.
• View the recording of our recent webinar, “Optimizing Kinase Profiling Programs with Deep Learning” (June 2^nd 2021). Our member companies Genentech and Optibrium talked about Alchemite™, a novel deep learning approach, and its application to optimizing kinase profiling programs. This new ML method reduces the number of assays required to accurately predict the full kinase selectivity profile, effectively accelerating experimental programs.
• View the talks at the Research Data Alliance (RDA) session on FAIR for Machine Learning that ran on April 21^st
• There is a new service in the UK dedicated to support the development and adoption of artificial intelligence in healthcare. It will offer information and guidance on legal and ethical use of data, regulation, and health technology assessment. The project is a collaboration between four national bodies: the National Institute for Health and Care Excellence (NICE), Care Quality Commission (CQC), Health Research Authority (HRA) and Medicines and Healthcare products Regulatory Agency (MHRA). Anyone interested in taking part in this research effort may join online.
• Read the “Eight ways in which AI is transforming healthcare” feature, that quotes the Pistoia Alliance project managers Richard Norman and Vladimir Makarov and which has now gone into the Raconteur special report “AI for Business”, published with The Times. (Refer to pages 20-21).

The Centre of Excellence in Artificial Intelligence and Machine Learning 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.