ViBo Health
Developer of a tabletop, non-invasive metabolite scanner and associated software for longitudinal metabolic monitoring. The company combines benchtop magnetic resonance spectroscopy hardware, signal-processing and machine-learning software to measure multiple metabolites from a finger scan for wellness, early disease detection, and research use. The product is at the pre-clinical prototype stage and the organization is pursuing a defined FDA regulatory pathway toward clinical clearance.
Industries
ViBo Health
Products
Tabletop non-invasive metabolite scanner (pre-clinical prototype)
A bench-top spectroscopy device designed to acquire metabolite spectra non-invasively from a finger/digit and present metabolite-based health metrics and trends via a user dashboard. Intended for use in high-traffic public locations and research settings; currently a pre-clinical prototype not cleared for clinical use.
Tabletop non-invasive metabolite scanner (pre-clinical prototype)
A bench-top spectroscopy device designed to acquire metabolite spectra non-invasively from a finger/digit and present metabolite-based health metrics and trends via a user dashboard. Intended for use in high-traffic public locations and research settings; currently a pre-clinical prototype not cleared for clinical use.
Services
Test-bed access and technical support for engineering and development
Provision of a benchtop MRS system package (hardware + proprietary software) and one-on-one technical support to research institutions, government R&D programs, and health innovation groups for engineering, development, and benchmarking purposes.
Test-bed access and technical support for engineering and development
Provision of a benchtop MRS system package (hardware + proprietary software) and one-on-one technical support to research institutions, government R&D programs, and health innovation groups for engineering, development, and benchmarking purposes.
Expertise Areas
- In vivo metabolomics
- Benchtop MRS-based diagnostics development
- Signal-processing and machine-learning for biosignals
- Prototype development and additive manufacturing
Key Technologies
- Magnetic resonance spectroscopy (MRS)
- In vivo metabolomics
- Machine learning and signal processing
- NLP-driven recommendation engines