We are very grateful to Amazon Web Services (AWS) for inviting our CTO, Carlo Fisicaro, to discuss NVIDIA accelerated drug discovery for Intrinsically Disordered Proteins. https://lnkd.in/dczE3qAy
What an incredibly rewarding day it was co-hosting (with NVIDIA, Anthropic & General Catalyst) a Health + Bio Symposium yesterday at the AWS Startups GenAI Loft in London! 🙏 I'm so grateful for the amazing speakers, startups, and industry leaders who came together to explore the transformative potential of generative AI in these critical sectors. Here is what I took away from our jam-packed agenda: 💊 Leveraging GenAI is enabling faster, more efficient drug discovery and development 🧠 Applying large language models is reducing administrative overhead for healthcare providers 🌱 Using multi-modal GenAI can enable more sustainable and productive agricultural practices 🩺 Tackling the challenge of measuring AI safety and performance in clinical settings is critical - but tractable! It was an absolute privilege to learn from such an incredible slate of speakers - thank you all! Alexandre Momeni (General Catalyst) Brian Snyder (Aide Health) Carlo Fisicaro (Peptone) Daniele Simoneschi (Stealth) Darragh McArt (Sonrai) David Roblin (Relation) Diana Röttger, PhD (APEX Ventures) Dominic Hall (Biographica) Frances Pye (Anthropic) Garry Pairaudeau Josh Hill (Pelago) Keith Grimes (ex-Babylon) Leigh Brody (AlbionVC) Martin Seneviratne (Phare Health) Massimo Berta (Amazon Web Services (AWS)) Max Jakobs (DeepMirror) Muhannad Alomari (BioCorteX) Parker Moss (Exscientia) Richard Loveday (graph.build) Rob Brisk, MBBCh, PhD (Eolas Medical) Rosie Rodriguez PhD (Relation) Ross Harper (Limbic) Dr Stephanie Kuku, MD (Conceivable Life Sciences) And a huge thanks to Eric Ssewagudde for helping me pull together this event, along with the broader AWS team. Those of you who know me well are familiar with my journey. THANK YOU for letting me play a role in this ecosystem - what a privilege to work with you to advance health. Let's keep going! 🚀 #HealthTech #LifeSciences #ArtificialIntelligence #MachineLearning #Innovation Cedric
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