# The Patient is Not a Document: Foundation Models for Biomedical AI with Standard BioModel

Page: https://stenobird.com/podcast/data-in-biotech-6628050/the-patient-is-not-a-document-foundation-models-for-biomedical-ai-with-standard-biomodel
Text version: https://stenobird.com/podcast/data-in-biotech-6628050/the-patient-is-not-a-document-foundation-models-for-biomedical-ai-with-standard-biomodel.md
Podcast: [Data in Biotech](https://stenobird.com/podcast/data-in-biotech-6628050)
Published: 2026-04-15T17:00:32+00:00
Episode link: https://www.corrdyn.com/
Audio file: https://downloads.pod.co/5fac40cd-043b-485f-838d-c63fa01ae1b2/b81bfb9d-8f95-4b2d-a458-6685726b9d55.mp3
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JSON: https://stenobird.com/v1/public/podcasts/data-in-biotech-6628050/episodes/the-patient-is-not-a-document-foundation-models-for-biomedical-ai-with-standard-biomodel
Duration seconds: 2994

## Resource

In this episode of Data in Biotech, host Ross Katz sits down with Kevin Brown, co-founder of Standard BioModel, to explore one of the most ambitious projects in biomedical AI, building a multimodal foundation model that represents the full complexity of a patient across time. Drawing on a career spanning brain-computer interfaces, computer-aided diagnosis at Siemens Healthineers, and oncology data science at Bristol Myers Squibb, Kevin shares the scientific and philosophical journey that led him to a single conviction: a patient is not a document. Rather than reducing a patient to clinical notes, ICD-10 codes, or isolated test results, Standard BioModel's approach maps every available modality - CT imaging, digital pathology, genomics, EKGs, longitudinal EHR data - into a shared latent space, and models how that patient moves through time. The result is a framework designed not just for prediction, but for counterfactual reasoning, clinical trial matching, and personalized intervention, with open-source models already being validated across leading academic medical centers. What you’ll learn in this episode: >> Why reducing a patient to text - clinical notes, radiology reports, genomic assay summaries - and how mapping multimodal data into a shared latent embedding space preserves information that never makes it into the written record >> How Standard BioModel's temporal architecture models patients as trajectories through an abstract embedding space rather than static snapshots, enabling counterfactual reasoning about the likely impact of interventions on a patient's future health trajectory >> Why no single foundation model can own every clinical vertical and how building a highly generalizable base model that facilitates downstream fine-tuning is a…

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