Revolutionary deep learning technology that predicts blood groups from fingerprint images with unprecedented accuracy—making diagnostics faster, more accessible, and non-invasive.
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Our neural models achieve 97% accuracy using ensemble learning techniques and advanced pattern recognition algorithms
Get blood group prediction results in seconds with our optimized AI inference pipeline
Generate comprehensive medical reports with confidence metrics for clinical records
Upload a clear image of a fingerprint through our secure HIPAA-compliant interface
Our AI model analyzes dermatoglyphic patterns using deep convolutional neural networks
Get your blood group result with detailed confidence scores and generate a medical report
Fingerprint patterns (dermatoglyphics) are formed during fetal development and are influenced by the same genetic factors that determine blood type. Our research has established strong correlations between specific ridge patterns and ABO/Rh blood groups.
These genetic connections allow our algorithms to identify subtle pattern variations that correspond to different blood types with remarkable accuracy.
NeuroBlood utilizes a proprietary neural network architecture that combines convolutional neural networks (CNNs) with transformer modules to extract both local and global features from fingerprint images.
Our model has been trained on a diverse dataset of over 6,000 fingerprint samples across all blood types, ensuring robust performance across different demographics and image qualities.
Rapid blood type identification in emergency situations when traditional testing may be unavailable or time-prohibitive
Enabling blood group determination in low-resource settings without laboratory equipment
Supporting genetic research by establishing correlations between dermatoglyphic patterns and blood group inheritance
Join the growing community of healthcare professionals using NeuroBlood to transform patient care