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:

  1. Data Acquisition & Preprocessing

    • Multi-dataset collection and advanced preprocessing pipeline

    • LDCT-IDOL: 1,018 scans

    • LUNA16: 888 scans

    • Multi-scale patches processing

  2. Enhanced Model Architecture

    • Multi-scale 3D CNN with transfer learning

    • 3D ResNet backbone architecture

    • Transfer learning optimization

    • Ensemble methods (3 models)

  3. Training & Validation

    • 5-fold cross-validation with advanced loss functions

    • Focal loss implementation

    • Early stopping mechanisms

    • Comprehensive validation protocols

  4. 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