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

About this episode

This episode explores the development of a multimodal foundation model for representing patients in biomedical AI with Kevin Brown from Standard BioModel.

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…

People in this episode

Host: Ross Katz

Guest: Kevin Brown

Topics covered

• biomedical AI
• multimodal data
• patient representation
• clinical trial matching
• personalized intervention

Keywords

• biomedical AI
• multimodal foundation model
• patient data
• clinical notes
• longitudinal EHR
• counterfactual reasoning
• personalized medicine

Mentioned in this episode

Organizations: Standard BioModel, Siemens Healthineers, Bristol Myers Squibb

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