Dear Colleague,

New training program in ontologies, survey about lab of the future, webinar, and lots of interesting publications:

• Please help the Pistoia Alliance shape the future of laboratory research by completing a short survey which looks at the key technologies and skills that will be needed to enable innovation and collaboration in the lab of the future. Our survey explores key areas including the use of FAIR data, AI, Machine Learning and other emerging technologies, as well as training and best practices. We are doing this in partnership with the Lab of the Future European conference where we will be launching our findings. We will also share the results with our community online. Thank you in advance for your help. The survey closes on August 25th and we would very much appreciate your valuable input.
• New Ontology Training Program starts September 13^th. The Pistoia Alliance is a running a new training program to demystify ontologies for life science leaders. It comprises of five bi-weekly webinars and a half day workshop at our Boston conference on November 14^th and is focused on use cases and best practices. For further information contact makarov@pistoiaalliance.org  
• View a recording of a webinar by our member companies BMS and ZS Associates “Building the scientific knowledge graph one question at a time”
• Have a look at these recent publications on AI:
  • Large Language Models in Molecular Biology. An easy-to-read informal review of a variety of use cases
  • The Potential and Pitfalls of using a Large Language Model such as ChatGPT or GPT-4 as a Clinical Assistant. Preprint by our member organization Pangea Data.
  • Machine learning for small molecule drug discovery in academia and industry. Review
  • European Medicines Agency draft regulation of AI in the medicinal product lifecycle, and an accompanying editorial
  • Microsoft, Anthropic, Google, and OpenAI launch Frontier Model Forum
  • Performance of public Large Language Models degrades over time
  • Data is everything in AI! A preclinical secondary pharmacology resource illuminates target-adverse drug reaction associations of marketed drugs
  • Special issue of the Science magazine on Machine Intelligence (July 2023)
  • Google and Epic (the maker of an electronic health record system) resist regulation of AI
  • Large language models encode clinical knowledge. Nature
  • Learn Worlds: Master ChatGPT for Course Creation with the Art of Prompting. An online class
  • FDA Seeks Input On AI Adoption In Drug Development And Manufacture. Clinical Leader opinion paper
  • Assessing GPT-4’s Potential for Perpetuating Racial and Gender Biases in Healthcare
  • Unlocking de novo antibody design with generative artificial intelligence
  • Efficient evolution of human antibodies from general protein language models. Nature Biotechnology
  • Capabilities of GPT-4 on Medical Challenge Problems
  • A Comprehensive Overview of Large Language Models. Wisecube blog
  • Exploring Tree of Thought Prompting: How AI Can Learn to Reason Through Search. KD Nuggets blog
  • ChatGPT Dethroned: How Claude Became the New AI Leader. KD Nuggets blog

As always, please get in touch.

Best wishes,

Vladimir Makarov, PhD, MBA
Project Manager, Pistoia Alliance
Email: vladimir.makarov@pistoiaalliance.org
Mobile: +1-626-222-5642
Skype: vladimir_makarov

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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.