neuralgap.io
Neuralgap Diagnostics
Neo: Universal Medical Signal Interpreter
Powered by Neuralgap's cutting-edge Multi-Unimodal Architecture, we are transforming fragmented medical data into unified diagnostic intelligence.
Beyond Single-Signal Diagnostics
Our state-of-the-art Multi-Unimodal Architecture revolutionizes medical diagnostics by analyzing multiple types of medical signals simultaneously. By processing everything from imaging to biosignals with unprecedented efficiency, we achieve superior diagnostic accuracy while using 50% fewer computational resources than traditional approaches.
Earlier Detection
- Spots patterns across multiple data types
- Catches warning signs others miss
- Accelerates time to diagnosis
Enhanced Accuracy
- Up to 16.9% more accurate than traditional methods
- Reduces false positives and negatives
- Excels with limited data
Clinical Efficiency
- Processes multiple inputs simultaneously
- Eliminates manual correlation
- Works with existing workflows
The Multi-Uni-Modal Architecture
Redefining Medical Signal Intelligence
Unified Processing
- Seamless integration of multiple medical signals
- Real-time synchronization of diverse data streams
- Advanced pattern recognition across modalities
Adaptive Learning
- Training on unpaired, asynchronous data
- Continuous improvement from real-world inputs
- Flexible adaptation to clinical workflows
Intelligent Scaling
- More than 50% reduction in computational parameters
- Superior accuracy with fewer resources
- Seamless integration of new signal types
Latest Extensions - Decoding the Brain
Neo is only getting started - Our next frontier is the brain!
Neo is extensible and our next frontier is the brain.
We will leverage our framework for the early detection of Alzheimer’s using multimodal paired data (EEG, MRI and PET).
Our goal is to enhance diagnostic accuracy for multiclass classification by combining insights from all EEG, MRI and PET modalities through multimodal learning.
The power of this approach? By unifying analysis across heart and brain data through a single framework, Neo could transform how we approach diagnosis across multiple organ systems – letting us detect patterns and relationships that might be missed when looking at each system in isolation.
Customize for your Data
Neo is capable of being customized to unique datasets
Neo’s architecture is uniquely adaptable to diverse healthcare settings and data environments. We work with partners to create custom solutions that fit their specific needs.
- Flexible Data Handling: Works with your existing data formats – from proprietary imaging to specialized biosignals
- Efficient Learning: Performs well even with limited datasets through our shared learning approach
- Seamless Integration: Adapts to your current clinical workflows and systems
- Collaborative Development: We work closely with your team to understand and meet specific diagnostic needs
- Scalable Solution: Start with key modalities and expand as needed
Neuralgap NEO helps accelerate Diagnostic Triage
Neuralgap NEO is a multimodal transformer based model that uses our proprietary multi-unimodal architecture to help enterprises adapt new forms of medical data to help diagnose conditions early, fast and with high precision.
Please send us a message if you are interested in partnering with us.