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Medi Language Reference

Overview

Medi is a programming language purpose-built for healthcare, designed to transform medical analytics with unparalleled ease, speed, and security. With a beginner-friendly syntax inspired by Python and R, high performance rivaling Julia, Rust, and C++, and native support for healthcare standards like FHIR, HL7, and DICOM, Medi empowers clinicians, researchers, and developers to unlock insights from complex medical data.

Core Features

Healthcare-Specific Features

  • Native Healthcare Standards: Built-in support for FHIR, HL7, DICOM, and genomic formats (FASTQ, VCF).
  • Privacy-Preserving Analytics: Federated learning and differential privacy for secure data science and AI.
  • Real-Time IoT Processing: Optimized for wearables and ICU devices, enabling instant insights.
  • Regulatory Automation: Automated compliance checks and reporting for HIPAA, GDPR, FDA, and EMA.

Language Features

  • Clinician-Friendly Syntax: Intuitive, Python/R-like syntax and a visual IDE for non-programmers.
  • High Performance: Compiled to machine code via LLVM, with WebAssembly and RISC-V support for edge devices.
  • Parallel Processing: Multi-threading (OpenMP) and distributed computing (MPI/Spark) for scalable analytics.
  • GPU Support: CUDA/OpenCL integration for AI-driven diagnostics and imaging (e.g., MRI segmentation).
  • Hybrid Memory Management: Lightweight garbage collection (like Go) for simplicity, with Rust-inspired manual control (scope) for low-latency IoT tasks.

Application Domains

Medi supports a wide range of healthcare applications:

  • Genomics and bioinformatics
  • Clinical trials and research
  • Epidemiology and public health
  • Hospital operations and management
  • Telemedicine and remote monitoring
  • Medical imaging and diagnostics
  • Pharmaceutical R&D
  • Mental health analytics

Syntax Examples

# This is a placeholder for Medi code examples
# Actual syntax documentation will be added as the language matures

Standard Library

The Medi standard library includes specialized modules for healthcare data processing, analytics, visualization, and security. More detailed documentation will be provided as these components are developed.