Non-invasive monitoring of cellular stress and inflammatory patterns through intelligent sensing

Project Overview

The objective of the Resonant Biosensor Measurement System is to develop a bio- and nano-sensor–based measurement platform capable of non-invasive detection and longitudinal monitoring of early biological deviations, such as cellular stress, inflammatory activity, or metabolic imbalance.

The system is not a medical diagnostic device. It is a research and decision-support measurement platform designed to:

  • – enable continuous or periodic biological data collection,
  • – identify trends and dynamic biological patterns,
  • – provide interpretable feedback for research, development, and lifestyle-support applications.

In this context, resonant refers to the system’s ability to analyze patterns, coherence, and temporal change, rather than relying on single, isolated measurements.

Pilot Scope (0–24 months)

The pilot phase focuses on one clearly defined measurement target, ensuring rapid validation and technical clarity.

Potential pilot measurement focus (one selected):

  • – proxy indicators of oxidative stress,
  • – markers associated with low-grade chronic inflammation,
  • – biochemical variables related to metabolic stress.

Pilot objectives:

  • – development of a biosensor prototype targeting a single measurement parameter,
  • – integration of bio- or nano-material–based sensing elements,
  • – creation of a data acquisition and trend-analysis prototype,
  • – validation in a non-clinical, research-oriented environment.

Technological Approach

The system is built from three interdependent technological components:

  1. Biosensor and Sensing Layer
  • – development of bio- or nano-material–based sensors,
  • – selective response to biological or chemical signals,
  • – evaluation of stability and reproducibility.
  1. Data Acquisition and Signal Processing
  • – conversion of analog signals to digital data,
  • – noise filtering and normalization,
  • – time-series data capture and structuring.
  1. AI-Based Pattern Analysis and Feedback
  • – detection of trends and deviations over time,
  • – interpretation relative to individual baseline states,
  • – generation of structured reports for research and development use.

The emphasis is on process monitoring, not single-point measurement.

Expected Pilot Outcomes

The project delivers clear, demonstrable results:

  • – a functional biosensor measurement system prototype,
  • – documented measurement and analysis methodology,
  • – validated models for pattern and trend interpretation,
  • – a demonstrator suitable for institutional and research collaboration,
  • – a foundation for future wearable or home-based monitoring systems.

The pilot represents technological and methodological validation, not medical device development.

Why This Project Is Pilot-Ready and Strategically Strong

  • – no clinical approval requirements,
  • – scalable sensor and data-processing architecture,
  • – relevance to health, wellness, and research applications,
  • – direct pathway toward prevention- and monitoring-based systems.

This project demonstrates tangible hardware–data–AI integration, which is particularly compelling for institutional partners and investors.

Alignment with the AVA Development Framework

Within this project, AVA functions as an analytical and feedback intelligence layer, supporting:

  • – structuring and interpretation of biological measurement data,
  • – identification of temporal patterns and deviations,
  • – guidance for development and application pathways.

The Resonant Biosensor Measurement System is therefore not a standalone device, but a core sensing layer of the Bio–Nano portfolio, naturally extending toward larger health-ecosystem initiatives such as AVA LIFE and beyond.