Erik Reinertsen
@erikrtn
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VP, AI Product & Strategy @SMBiomedicine
San Francisco Bay Area
Joined September 2014
General purpose LLMs like Claude, Gemini, and ChatGPT struggle with biomedical data because they share a fundamental misconception: language is not a sufficient proxy for disease biology. We have a different approach:
blog.standardmodel.bio
Introducing the Standard Model: A new paradigm to build multimodal intelligence for oncology.
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Patient-Specific Biomolecular Instruction Tuning of Graph-LLMs 1. A novel study introduces CPTAC-PROTSTRUCT, the first dataset designed for instruction-tuning in oncology proteomics, containing over 370k examples from more than 1000 patients. This dataset bridges the gap between
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Excited to announce our investment in @SMBiomedicine (SMB)! SMB is looking at patient outcomes and working backwards to answer a fundamental question in biomedicine: What is the likely course & outcome of disease for this specific patient? https://t.co/eZAX0ZX6Pm
virtuevc.com
Biopharma and Academic Medical Centers are both moving towards precision medicine with multimodal data, but today that data is fragmented by institution, modality, and therapeutic area.
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We’ve been pretty quiet on here so far, but today we’re excited to introduce ourselves and share three new papers on foundation models in bio. 👋 Come take a look at our Substack post to learn more, and follow us here to receive future updates, too. 📥
blog.standardmodel.bio
We're building a multimodal foundation model that integrates any type of data for biopharma, academic medical centers, and biobanks.
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