> For the complete documentation index, see [llms.txt](https://rexis.gitbook.io/rexis/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://rexis.gitbook.io/rexis/tabular-data.md). # 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. *** #### 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. *** #### 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. ***