# Tabular Data
### Tabular Data
Tabular data—organized in rows and columns—forms a cornerstone of biomedical datasets. Each row typically represents a distinct sample (e.g., a patient visit or biological measurement), while each column corresponds to a specific feature or attribute associated with that sample.
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#### Electronic Health Records (EHRs)
Electronic Health Records (EHRs) encompass clinical records and patient demographics, forming a vital source of information within healthcare. These datasets contain a wide range of details, including:
* Age, sex, and other demographics
* Medical history and diagnoses
* Prescribed treatments
* Laboratory test results
* Procedural records and clinical notes
**Data Support**
Our platform provides a **secure and privacy-preserving marketplace for EHR data**, enabling encrypted encoding, sharing, and collaborative analysis across institutions.
EHR data is typically stored in:
* CSV or TSV files
* Relational databases
* Standardized EHR platforms
**Equivariant Encryption (EE)** ensures that all data remains encrypted during processing. This allows for collaborative use without ever compromising patient privacy.
**Model Support**
Foundation models applied to EHRs unlock powerful capabilities such as:
* Predicting disease onset or progression
* Stratifying patients by risk
* Modeling treatment outcomes across populations
**Our platform enables secure fine-tuning and evaluation of models on encrypted EHRs using EE.**
* [**MOTOR**](https://openreview.net/forum?id=NialiwI2V6): A foundation model for time-to-event prediction in healthcare, trained on over 55 million patient records.
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#### Clinical Trial Data
Clinical trial data is a specialized form of tabular data collected during the evaluation of drugs, devices, and therapeutic protocols. Each record may include:
* Patient demographics and medical history
* Treatment assignment (e.g., dosage, duration)
* Measured outcomes, efficacy endpoints, and adverse events
**Data Support**
Clinical trial data is often stored in:
* CSV and Excel spreadsheets
* Structured clinical databases
Our platform offers **a secure and auditable system for managing and analyzing clinical trial data**.\
By applying **EE**, we ensure encrypted storage, sharing, and model training—while maintaining trial integrity and patient confidentiality.
EE also enables secure coordination across multi-site trials.
**Model Support**
Foundation models can be used to:
* Predict trial outcomes
* Stratify patients for personalized trial arms
* Optimize trial design and summarization
However, risks like hallucination and overfitting require careful validation—especially when operating on sensitive datasets.
**Rexis enables distributed evaluation and fine-tuning of these models using encrypted clinical trial data.**
* [**Panacea**](https://github.com/linjc16/Panacea): A foundation model for clinical trial summarization, recruitment, and design. It uses transformer-based architectures to extract key information and improve relevance matching across large-scale trial data.
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