Gen shield App

Your genes tell a story. GenShield helps turn genomic data into actionable breast cancer risk insights.

Inspiration

Breast cancer remains one of the most common and life-threatening diseases affecting women in Egypt. Many women are diagnosed at later stages due to limited awareness, expensive genetic testing, and the lack of population-specific screening tools. Most existing AI and genomic risk assessment systems are designed using European genetic datasets, which do not accurately represent Egyptian genetic profiles and BRCA mutation patterns.

We wanted to build a solution that combines artificial intelligence, genomics, and accessibility to help Egyptian women detect risks earlier and make informed healthcare decisions before symptoms appear.

What it does

GenShield AI is an AI-powered genomic risk assessment platform designed specifically for Egyptian women. The platform analyzes genetic mutations, family history, lifestyle factors, and clinical data to estimate breast cancer risk levels.

The system provides:

Personalized risk scores
Risk classification (Low, Moderate, High, Very High)
Early screening recommendations
Clinical guidance and preventive suggestions
Secure assessment history tracking
Downloadable medical-style PDF reports
Arabic and English support for accessibility

GenShield acts as an early warning and decision-support system that helps prioritize high-risk individuals for further medical screening and genetic counseling.

How we built it

We developed GenShield using a modern full-stack architecture.

Frontend:

React 19
Tailwind CSS 4

Backend:

Express.js
tRPC 11

Database:

MySQL with Drizzle ORM

AI & Data Science:

Modified Gail Model
Population-specific BRCA mutation analysis
Egyptian genetic prevalence adjustments
Risk classification algorithms using 25+ weighted risk factors

Additional features:

OAuth secure authentication
PDF report generation using ReportLab and WeasyPrint
Cloud-ready scalable architecture
Multi-language RTL support

We also integrated research from Egyptian BRCA studies, international cancer databases, and clinical screening guidelines to ensure scientific reliability.

Challenges we ran into

One of the biggest challenges was the lack of accessible Egyptian genomic datasets compared to Western databases. Most publicly available breast cancer prediction tools are trained on European populations, which creates accuracy limitations for Egyptian women.

Another challenge was balancing medical accuracy with user accessibility. We needed to simplify complex genetic and clinical concepts into a user-friendly experience without losing scientific value.

Building a culturally appropriate bilingual interface and ensuring secure healthcare data handling were also important technical and ethical challenges.

Accomplishments that we're proud of

Creating one of the first AI-powered breast cancer risk assessment tools tailored specifically for Egyptian women
Successfully combining genomics, machine learning, and healthcare into a practical real-world solution
Designing a fully bilingual Arabic-English platform
Building a scalable cloud-ready architecture
Developing personalized clinical recommendations instead of generic outputs
Raising awareness about precision medicine and early cancer detection in underserved communities

Most importantly, we are proud that GenShield has the potential to help save lives through early detection and informed medical decisions.

What we learned

Through this project, we learned that AI in healthcare is not only about building accurate models, but also about accessibility, ethics, trust, and localization.

We gained experience in: