PeachBot Med — Resources
Technical materials, research work, and system references supporting the clinical edge intelligence platform.
Clinical Edge AI System
PeachBot Med & MedAI+ is a deployable clinical edge intelligence system designed for real-time monitoring, on-device processing, and structured decision support in privacy-sensitive healthcare environments.
Supports device integration, distributed deployment, and ongoing clinical validation workflows.
System Resources
This section provides structured access to technical documentation, research work, and system-level materials related to PeachBot Med & MedAI+.
Documentation
High-level documentation describing system architecture, deployment models, and clinical integration workflows.
- Architecture overview (SBC + edge execution)
- System workflows and signal processing design
- Deployment and integration guidelines
Detailed technical documents are available through controlled access.
Research & Publications
The system is supported by ongoing research in edge AI, computational biology, and distributed intelligence systems.
- Edge-based intelligence for biological data
- Constraint-aware Edge-GNN models
- Distributed learning and coordination systems
Current work includes preprints and studies under active journal peer review.
View Research →Open Repositories
PeachBot is structured as a modular multi-repository system. Selected components are available for exploration and collaboration.
Some repositories are under active development or restricted access.
Intellectual Property
Core system architecture for clinical edge intelligence is covered under a published Indian patent application.
Application No: 202541127477
Published: 23 January 2026
Status: Under examination
Access & Collaboration
Access to advanced documentation, pilot deployments, and system evaluations is available through research collaboration and institutional partnerships.
- Research collaboration programs
- Institutional pilot deployments
- Technical walkthroughs and system evaluations
This section is intended for research, technical, and evaluation purposes. It does not represent a public commercial distribution.