MedxR_004.knit

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<h1 style="color: #17a2b8; font-size: 2.5em; font-weight: 600; margin-bottom: 10px;">MedxR Package</h1>
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<h3 style="color: #0c5460; font-size: 1.8em; font-weight: 500; margin-bottom: 25px;">Bridging Regulatory Drug Data from the FDA and Health Canada into R</h3>
<p style="color: #0c5460; font-size: 1.3em; margin-bottom: 15px;">Caceres Rossi, Renzo</p>
<p style="color: #0c5460; font-size: 1.1em; margin-bottom: 15px;">Independent Researcher / R Package Developer</p>
<p style="color: #0c5460; font-size: 1.3em;">November 5, 2025</p>
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# Agenda

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- **Motivation & Context**

- **Package Overview**

- **MedxR Functions – FDA & Health Canada APIs**

- **MedxR in Action: Live Demo**

- **Future Work**

- **Acknowledgements & Contact**

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# Motivation & Context

<br>

- Every country or region has a **regulatory authority** responsible for controlling and monitoring drugs, medicines, and related products.

- However, most agencies **lack open, RESTful, and login-free APIs** that can be easily integrated into analytical tools such as **R**.

-  This fragmentation limits **data accessibility**, **transparency**, and the ability to perform **real-time pharmacovigilance** or **cross-agency analysis**.

- There is a clear **opportunity** to connect and standardize regulatory data through open-source tools — empowering both **R users** and **domain experts** in regulatory science.

-  **MedxR** addresses this gap by bridging public drug data from the **U.S. FDA** and **Health Canada** into the R ecosystem.

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# Package Overview

<br>

**MedxR** is an R package that provides seamless access to regulatory drug databases from the **FDA** and **Health Canada**.

Access drug approvals, adverse events, recalls, and product details through RESTful APIs. The package also includes curated open datasets focused on pharmaceuticals and clinical studies.

**Installation:**

From CRAN:
```r
install.packages("MedxR")
```

From GitHub:
```r
# install.packages("devtools")
devtools::install_github("lightbluetitan/MedxR")
```

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# MedxR Functions

<br>

**MedxR** integrates data from the official public APIs of the **U.S. Food and Drug Administration (FDA)** and **Health Canada**. These APIs were used to build the main functions of the package, allowing users to access real-time regulatory drug data directly within **R**.

### **FDA Functions**

- `get_fda_adverse_events()`: Search Adverse Events by Drug Name in FDA Adverse Event Reporting System

- `get_fda_drug_labels()`: Search Drug Labels by Drug Name in FDA Drug Labeling Database

- `get_fda_drugs_approved()`: Search FDA-Approved Drugs by Drug Name

- `get_fda_ndc_directory()`: Search National Drug Code (NDC) Directory by Drug Name

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# MedxR Functions

### **Health Canada Functions**

- `get_hc_active_ingredients()`: Get Active Ingredients from Health Canada Drug Product Database.

- `get_hc_companies()`: Get Companies from Health Canada Drug Product Database.

- `get_hc_din()`: Get All DINs from Health Canada Drug Product Database.

- `get_hc_drug_by_din()`: Get a Drug Product by DIN from Health Canada Drug Product Database.

- `get_hc_drug_products()`: Retrieve Drug Products from Health Canada Drug Product Database.

- `get_hc_forms()`: Get Pharmaceutical Forms from Health Canada Drug Product Database.

- `get_hc_search_drug()`: Search Drug Products by Brand Name in Health Canada Drug Product Database.

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# MedxR in Action

<br>

In this live session, we will demonstrate how to work with the **MedxR** package directly in **RStudio**. We will explore the **core functions of the package**, showing how they retrieve real-time regulatory data from the **FDA** and **Health Canada** APIs.

All MedxR functions return results as **tibbles**, enabling seamless integration with  
the **tidyverse** ecosystem — including packages like **dplyr** for data wrangling  
and **ggplot2** for data visualization.

This makes **MedxR** both powerful and intuitive for researchers, analysts, and data scientists working in regulatory and pharmaceutical domains.

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# Future Work

<br>

Our main goal is to make **MedxR** the go-to tool that **does the heavy lifting** for pharmaceutical and regulatory data analysis —  allowing researchers and analysts to focus on insights instead of complex data collection and cleaning.

Over the next **2 to 3 months**, we will expand MedxR beyond the FDA and Health Canada APIs by integrating several **open, no-login RESTful APIs** from global regulatory and clinical sources, including:

- **RxNorm / RxNav (U.S. National Library of Medicine)** – standardized drug identifiers  
- **DailyMed API** – official drug labeling and structured product information  
- **ClinicalTrials.gov API** – clinical trials, study results, and global trial metadata

These additions will help MedxR connect R users to a **truly global network of regulatory and pharmaceutical data**,  while maintaining a clean, unified, and analysis-ready format in R.

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# Acknowledgements & Contact

<br>

- I would like to express my sincere gratitude to the **R/Pharma APAC 2025 Conference Committee** for the opportunity to share this work.

- A special thanks to **Daniel Sabanés Bové**, Entrepreneur in **Biostatistics Consulting and Engineering**, for his continuous support and guidance in the weeks leading up to this presentation.

- Thank you all for attending — it has been a pleasure sharing **MedxR** with you today.

<br>

📧 **Contact:** [arenzocaceresrossi@gmail.com](mailto:arenzocaceresrossi@gmail.com)  
🔗 **LinkedIn:** [linkedin.com/in/andrescaceresrossi](https://www.linkedin.com/in/andrescaceresrossi/)

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  <img src="D:/SOUTK_KOREA_DATASETS/logo_medxr_001.png" width="400px"/>
  <br><br>
  <h2 style="color:#003366;">Thank you!</h2>
  <p style="font-size:18px; color:#555555;">R/Pharma APAC 2025</p>
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