About

Background

Awareble grew out of a question that emerged across several disciplines simultaneously: what would become clinically possible if continuous, individual-level physiological data were available across multiple domains?

The clinical literature consistently suggests that continuous data improves early detection, treatment monitoring and risk stratification. But capturing that data across autonomic, metabolic and inflammatory domains simultaneously, on a single device, in a way that is practical for long-term wear, required solving problems in electrochemistry, signal processing and computational modelling that were not independently tractable until recently.

The concept behind Awareble brings these disciplines together. The electrochemistry draws on established research in implantable medical devices. The signal processing builds on computational methods developed for medical imaging. The clinical framing is informed by direct experience with oncology and cardiology workflows. Each of these fields contributed a piece of the puzzle; the proposition is that combining them in a single platform produces something qualitatively new.

Approach

We take the position that continuous biosensing is primarily a computational problem. The sensing hardware generates rich but overlapping signals. The value is extracted by models that learn to decompose those signals, personalise to individual physiology, and track change over time.

This is reflected in how the project is structured. The team spans electrochemistry, electronics, materials science, machine learning, firmware and clinical science. Every design decision is made with the computational pipeline in mind. The hardware exists to generate the right signals. The intelligence sits in the models.

Current status

We are building the prototype and preparing for our first on-body validation studies. Early results on reagent-free chemical identification have confirmed the core sensing principle (91.2% accuracy across 13 fluid classes, with emergent concentration sensitivity). The next step is translating this to continuous on-body measurement in physiological conditions.

This site is in its early form. The work is further along than the design suggests. If any of this is relevant to your work, we welcome hearing from you: info@awareble.com.