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Our Technology Stack

Genomics & Data Science

SmartQR harnesses the power of genomics and large-scale data analytics to unlock deeper understanding of health and disease. By combining genomic signatures with advanced computation, we are building the next generation of precision healthcare tools.

  • Genomic Signal Processing
    AI-driven models analyze genetic data to uncover variations, mutations, and biomarkers that impact health outcomes.

  • Population-Scale Insights
    Large genomic datasets are integrated with clinical and demographic data to reveal public health trends and disease dynamics.

  • Personalized Models
    Machine learning aligns genomic information with individual health data, enabling tailored care and precision-driven solutions.

  • Cloud-Native Genomic Pipelines
    Scalable and secure infrastructure allows rapid analysis of high-volume genomic datasets while ensuring data integrity and compliance.

  • Trusted & Transparent
    Backed by peer-reviewed research, patents, and institutional collaborations, our genomic solutions are developed to meet the highest standards of scientific and regulatory validation.

Artificial Intelligence & Machine Learning

SmartQR places AI and ML at the core of its innovation engine, transforming raw health data into meaningful insights. Our technology is designed to process complex biomedical and clinical datasets in real time, ensuring accuracy, adaptability, and scalability.

Advanced Pattern Recognition

Deep learning models identify subtle patterns and correlations in diverse health datasets that traditional methods may overlook.

Continuous Learning Systems

Algorithms evolve with every new dataset, refining predictions and enabling adaptive healthcare solutions.

Predictive Analytics

ML pipelines forecast risks, progression trends, and potential outcomes—helping providers move from reactive to proactive care.

Edge + Cloud Processing

Balances on-device intelligence with secure cloud computation for seamless performance—even in low-connectivity environments.

Privacy & Security First

All AI models are designed with encryption, anonymization, and compliance with ISO and global regulatory frameworks, ensuring data safety without compromise.

Real-World Healthcare Impact

SmartQR’s AI models bring real-time insights to clinical and field settings, enhancing treatment decisions and strengthening population health.

Technology

At the heart of every SmartQR product lies a next-generation microfluidic test strip. These strips require only a small biological sample—like a drop of blood or urine—and use capillary action to conduct rapid biochemical reactions. The design ensures high specificity and sensitivity, suitable for point-of-care testing even in challenging field conditions.

All SmartQR solutions are device-agnostic, working seamlessly with a wide range of smartphones. The phone’s camera acts as an analytical sensor, scanning the test strip. The captured image is then processed in real time to extract quantitative data—transforming any smartphone into a portable health lab.

Using advanced computer vision and machine learning algorithms, SmartQR's platform analyzes the scanned test strip to detect colorimetric and structural changes with precision beyond the human eye. The AI is trained on extensive datasets to ensure consistent accuracy across different lighting conditions, phone models, and sample types.

Once data is processed, it is securely uploaded to the SmartQR cloud (when connectivity allows). This enables:
Centralized health record management
Epidemiological insights and population health tracking
Real-time dashboards for public health authorities
SmartQR’s offline mode ensures uninterrupted testing, securely storing results until they can be synced.

Each SmartQR platform—whether HemoQR, PrePAPQR, INGENE, or UroQR—shares a modular backend. This reduces infrastructure burden, enables rapid rollouts, and simplifies integration into hospitals, clinics, and public health programs.

Data handling within the SmartQR ecosystem follows industry-standard encryption protocols and complies with HIPAA, NDHM, and other relevant data protection guidelines. User data is anonymized and used only for authorized medical and research purposes.

Our Credentials

  • CDSCO-Approved Software Licenses ensuring compliance with national regulatory standards for medical software.

  • Proprietary AI/ML Models developed in-house, optimized for healthcare data analysis, and continuously validated against real-world datasets.

  • Data-Driven Insights where AI and ML derive results from complex biomedical, clinical, and genomic data, transforming raw information into actionable knowledge.

  • Cloud-Native Infrastructure that guarantees scalability, interoperability, and secure integration across diverse healthcare environments.