Recursion Pharmaceuticals (RXRX) Jefferies 2024 Global Healthcare Conference summary
Event summary combining transcript, slides, and related documents.
Jefferies 2024 Global Healthcare Conference summary
1 Feb, 2026Technology and data strategy
Utilizes high-throughput automated wet labs, generating up to 2.2 million experiments weekly and aggregating over 50 PB of biological, chemical, and clinical data.
Applies advanced computational resources, including supercomputers and large language models, to map complex biological relationships and drive drug discovery.
Integrates proprietary and public data to identify novel biological relationships, leveraging data arbitrage for unique insights.
Employs a modular operating system, enabling flexible, scalable workflows across drug discovery and development.
Continuously adds new modules and AI-driven tools, such as the LOWE workflow engine, to enhance automation and discovery.
Pipeline and clinical development
Internal pipeline focuses on precision oncology and rare diseases, with seven programs advancing toward key milestones within 18 months.
Notable programs include phase II trials in cerebral cavernous malformation, neurofibromatosis type 2, familial adenomatous polyposis, and advanced AXIN1 APC mutant cancers.
Additional programs target C. difficile infection, HR-proficient cancers (RBM39), and fibrotic disease (Target Epsilon), with IND submissions and trial initiations expected soon.
Demonstrates reduced time and cost to reach IND and validated leads compared to industry averages.
Emphasizes novelty by prioritizing targets and relationships not well known in scientific literature.
Partnerships and collaborations
Strategic partnerships with Roche Genentech (neuroscience, GI oncology), Bayer (undruggable oncology), and NVIDIA (high-performance computing, BioNeMo platform).
Collaborations with Tempus and Helix provide access to multimodal patient data, enhancing clinical and genetic insights.
Partnership with Enamine enabled large-scale chemoproteomic calculations across 36 billion compounds.
Data strategy includes licensing subsets of proprietary data and tools to biopharma customers.
Ongoing discussions for additional partnerships in large, tractable biological and technology areas.
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