Research & Innovation
Research & Innovation
Advancing computational medicine through AI, physiological modeling, and data-driven healthcare technologies.
Our R&D division is building the next generation of intelligent healthcare technologies. Anchored by the BracyInsight™ Computational Physiology Platform and supported by federal SBIR funding, we are translating cutting-edge research in computational medicine into real-world clinical impact.
Invited to Submit NSF SBIR Phase I Proposal
Bracy Analytics has been invited to submit a full Phase I SBIR proposal to the National Science Foundation (NSF), focusing on advanced healthcare technologies combining machine learning, physiological monitoring, and predictive analytics.
This invitation validates the scientific merit and commercial potential of our BracyInsight™ Computational Physiology Platform and represents a critical milestone on our path to FDA clearance and market launch.
Research Programs
Active R&D initiatives
BracyInsight™
Computational Physiology Platform
A hardware-agnostic computational framework that transforms multimodal physiological signals into continuous estimates of pulmonary status using advanced signal processing, computational physiology, and physics-informed artificial intelligence.
AI Medical Devices
Sensor Fusion & Edge AI
Research into next-generation medical device architectures combining multi-modal sensor fusion, signal processing, and edge AI inference for point-of-care diagnostics without cloud dependency.
Machine Learning Research
Novel Biomedical Algorithms
Development of novel ML algorithms for predictive diagnostics, biomedical signal interpretation, and clinical decision support — with a focus on performance in resource-constrained environments.
SBIR / STTR Programs
Federal R&D & Commercialization
Bracy Analytics has been invited to submit a Phase I SBIR proposal to the National Science Foundation (NSF). We actively pursue federal R&D funding to accelerate technology development and commercialization.
Platform Architecture
BracyInsight™ — Computational Physiology Platform
A hardware-agnostic computational framework organized into three integrated layers. The innovation is the software, the algorithms, and the physiology — not the sensing hardware.
Multimodal Physiological Sensing
Hardware-agnostic sensing layer. Future sensors plug in without changes to the core platform.
- Electrical Impedance Tomography (EIT)
- ECG
- PPG
- SpO₂
- Respiratory monitoring
- Motion sensing
Computational Physiology Engine
The intellectual property. This is what NSF is funding — the algorithms that transform raw signals into clinical insight.
- Signal quality assessment
- Motion artifact correction
- Feature engineering
- Sensor fusion
- Physics-informed AI
- Pulmonary state estimation
- Confidence scoring
Clinical Decision Support
Clinically actionable outputs delivered to the point of care.
- Pulmonary assessment
- Respiratory deterioration detection
- Risk scoring
- Decision support
- Remote monitoring
Development roadmap
Phase I
Feasibility & Prototype
NSF SBIR Phase I — proof-of-concept development and feasibility validation.
Phase II
Development & Validation
Clinical validation studies, algorithm refinement, and regulatory pre-submission.
Phase III
Regulatory Pathway
FDA 510(k) or De Novo submission, clinical trials, and CE marking.
Phase IV
Commercialization
Technology transfer, licensing, manufacturing partnerships, and market launch.
Interested in a research collaboration?
We welcome partnerships with academic institutions, federal agencies, and industry partners to advance our R&D programs.
Contact Our Research Team