Keynote session recordings from the Annual European conference are now available on the Pistoia Alliance website.

• Please log in to the Conference site to view the recordings of the talks in the Pistoia Alliance Spring Conference Driving Patient Centricity in R&D held on April 6, 2022.
• A reminder to register for a new AI and ML CoE webinar titled “AutoDesigner, a De Novo Design Algorithm for Rapidly Exploring Large Chemical Space for Lead Optimization”, on May 12^th, 2022, at 4 PM BST / 11 AM EDT / 8 AM PDT. Karl Leswing, Machine Learning Lead at Schrödinger, will describe applications to the design and synthesis of D-amino acid oxidase inhibitors with AutoDesigner, a novel molecular design algorithm that allows for a more effective sampling of the chemical space.
• Updates about the precompetitive research projects developed by the AI and ML CoE:
  • The BioAssay Annotation project, informally known as DataFAIRy, is gearing up to begin the next round of assay protocol annotations. Within the last few months, AbbVie and GlaxoSmithKline joined the project, along with Bristol-Myers-Squibb, AstraZeneca, Novartis, and Roche renewed their support. At this time, we have close to 1500 assay protocols that are ready to be ingested, and we are working with reagent and kit vendors to triple that number in 2022. We will report the results of this effort to the Pistoia Alliance community in a webinar targeted for the end of the year 2022.
  • The Good Machine Learning Practices (GMLP) working group is developing the first draft of the best practices in Machine Learning. This work develops the ideas proposed in the previous papers by the Pistoia Alliance and the ELIXIR Machine Learning Focus Group. We want to make the recommendations more detailed and specific and address the typical challenges encountered in different roles in biotechnology R&D when it comes to interaction with ML and AI models.
  • As a member of the Pistoia Alliance's Artificial Intelligence & Machine Learning Community, you can enjoy a free subscription to Scientific Computing World magazine. Click here to sign up and receive updates on the latest industry trends and topics.
• Have a look at these recent publications:
  • Ten quick tips for deep learning in biology, published by the PLOS Computational Biology “Ten tips” series, re-iterates some of the key best practices that were earlier described by the Pistoia Alliance AI CoE.
  • Using deep learning to annotate the protein universe aims to expand the functional annotations for unaligned proteins by using machine learning.
  • Artificial intelligence–enabled virtual screening of ultra-large chemical libraries with deep docking.
  • In Silico Trial Approach for Biomedical Products: A Regulatory Perspective.

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.