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Healthcare Data Engineering & Applied AI/ML

Welcome to HC-AiX – a collaborative experimental workspace dedicated to leveraging Data & AI/ML for healthcare workflow enrichments.

Projects

Project Focus Area Technology Stack
🖼 Cancer Image Basic Analysis Basic Prediction Computer Vision, Deep Learning
🧮 Cancer Image Advanced Analysis Advanced Prediction Computer Vision, Deep Learning
SFT Google BiT Supervised Fine Tuning BiT Computer Vision, Deep Learning
🔬 Additional Projects Coming Soon -

💡 Collaborative Opportunity: We are actively seeking researchers and data scientists interested in healthcare AI innovations.

Methodology

Approach

  • Advanced medical image processing
  • AI-driven predictive analytics
  • Ethical and responsible machine learning applications

Key Technologies

  • Deep Learning
  • Computer Vision
  • Medical Image Analysis
  • Audio Signal Processing
  • Predictive Modeling

Team

Are you passionate about transforming healthcare through data engineering and AI? We're always looking to connect with:

  • Researchers
  • Data Scientists
  • Healthcare Professionals
  • AI/ML Enthusiasts
Role Name LinkedIn Location
Founder Fatih E. NAR LinkedIn Profile Texas, USA
Founder Sedat Kaymaz LinkedIn Profile Istanbul, TR
Founder Brandon Jackson LinkedIn Profile Texas, USA

📢 Open Positions: Seeking talented individuals to join our innovative healthcare AI research team!

Publications & Resources

Title Link Authors Year
2025 and Beyond Read Document Fatih E. Nar 2025
AI Engineering: Level Up Your IT Career Read Article Roy Chua, Fatih E. NAR, Henrik Hedlund, Babar Bhatti 2024

** Advancing Healthcare Through Intelligent Data Analysis**

Join us in pushing the boundaries of medical research and artificial intelligence.

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Healthcare/Medical AI Experiments

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