# A foundation model for human biology

Predict what will happen to any patient at any time. Standard Model Biomedicine builds a foundation model for human biology — a medical AI trained across genomic, imaging, and longitudinal patient records to forecast clinical outcomes.

## We predict what happens to any patient at any time

The Standard Model turns everything generated for one patient — assessment, imaging, pathology, genomics, interventions — into a single patient-level representation, then forecasts what will happen under any intervention. Partners adapt it to any endpoint (survival, response, toxicity, stratification) with a lightweight task head trained on their own labels — no foundation-model retraining.

## Browse the model collection, available open source

Patient encoders and modality-specific encoders for EHR, CT, genomics, and proteomics — open weights on [Hugging Face](https://huggingface.co/standardmodelbio). There is no hosted service to call: download the weights, load an encoder, and produce patient-level embeddings you can feed into your own downstream models:

- [Install & quickstart](https://standardmodel.bio/install.html) — running locally in ~60 seconds
- [End-to-end example](https://standardmodel.bio/example.html)
- [Use it on your data](https://standardmodel.bio/your-data.html)
- [Model hub](https://standardmodel.bio/model-hub.html)

## Methods, models, and clinical evaluations underwriting the platform

Our [research](https://standardmodel.bio/research.html) spans clinical foundation models, medical imaging, genomics, and federated learning for drug development. The [team](https://standardmodel.bio/team.html) comes from BMS, Genentech, AbbVie, Sanofi, Stanford, MIT, Yale, UCSD, MD Anderson, and Mount Sinai.

## Company

- [About](https://standardmodel.bio/about.html)
- [Team](https://standardmodel.bio/team.html)
- [News](https://standardmodel.bio/news.html)
- [Contact](https://standardmodel.bio/contact.html) — info@standardmodel.bio
- [Privacy](https://standardmodel.bio/privacy.html)
- [Blog](https://blog.standardmodel.bio/)
- [Guidance for AI agents (llms.txt)](https://standardmodel.bio/llms.txt)

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