Cutting-edge AI research and clinical validation
Cellex is pioneering the future of diagnostic imaging through advanced artificial intelligence. Our research focuses on developing clinical-grade AI systems that assist healthcare professionals in early cancer detection, ultimately saving lives through faster and more accurate diagnoses.
We're democratizing advanced medical AI to make world-class diagnostic capabilities accessible to healthcare providers globally, bridging the gap between cutting-edge technology and clinical practice.
EfficientNet Foundation: Medical-optimized attention mechanisms for precise feature extraction
Ensemble Intelligence: Multiple specialized models working in concert for robust predictions
Focal Loss Optimization: Enhanced detection of rare and early-stage cancers
Medical Augmentation Pipeline: Preserves diagnostic integrity while improving model robustness
Chest CT Scans
Lung cancer detection in CT imaging
Histopathological Images
Cellular-level cancer analysis in tissue samples
Brain MRI Scans
Brain tumor detection in MRI studies
Dermatology Images
Skin cancer and melanoma detection
Binary classification: Healthy (36.6%) vs Cancer (63.4%)
Cellex is committed to advancing medical AI through open collaboration. We believe that the future of healthcare technology should be accessible, transparent, and community-driven.
Whether you're a researcher, developer, medical professional, or AI enthusiast, you can contribute to our mission of democratizing cancer detection technology. Join our growing community of contributors working to save lives through innovative AI research.
Star our repository, submit issues, or contribute code to help advance medical AI research
12 Hospital Systems across North America and Europe
50,000+ Patient Cases in validation studies
15% Improvement target in early detection rates
23% Reduction target in diagnostic time
Q1 2026: Clinical trial deployment preparation
Q2 2026: FDA 510(k) regulatory submission
Q3 2026: Multi-site clinical validation
Q4 2026: Commercial deployment readiness