
Our current focus areas represent the future of precision medicine and early disease detection.
Products under development:
Lung Cancer Detection using Advanced Radiological Analysis
Revolutionary deep learning system for detecting lung cancer through comprehensive analysis of radiological images. Our AI-powered platform combines multiple data sources and advanced preprocessing to achieve superior accuracy in early-stage detection.
Pipeline Overview:
Data Acquisition & Preprocessing
Multi-dataset collection and advanced preprocessing pipeline
LDCT-IDOL: 1,018 scans
LUNA16: 888 scans
Multi-scale patches processing
Enhanced Model Architecture
Multi-scale 3D CNN with transfer learning
3D ResNet backbone architecture
Transfer learning optimization
Ensemble methods (3 models)
Training & Validation
5-fold cross-validation with advanced loss functions
Focal loss implementation
Early stopping mechanisms
Comprehensive validation protocols
Clinical Evaluation & Results
AUC: 0.85-0.93 performance range
Sensitivity: 85-90%
External validation protocols
Clinical validation studies
Key Features:
Multi-dataset training for robust performance
Transfer learning for improved accuracy
Ensemble methods for enhanced reliability
Clinical validation and real-world testing
Personalized Eczema Risk Assessment Tool with Genomic Markers
Cutting-edge genomic analysis platform that identifies the probability of eczema development through comprehensive analysis of genetic markers. This precision medicine approach enables early intervention and personalized treatment strategies.
Applications:
Early risk assessment in pediatric populations
Personalized treatment planning
Family genetic counseling
Population health screening programs