Industrial project · Healthcare & Life Sciences · Qualees
The first universal generator of digital twins in <em>Do It Yourself</em> mode — designed to democratize AI access for domain experts who hold research questions and a data heritage, without requiring them to master the algorithmic underpinnings.
TweenMe starts from a simple observation: digital twin and AI tools are today inaccessible to most professionals who would benefit most. Not for lack of data — many hold considerable data heritage and precise research questions — but because these tools require algorithmic mastery that the physician, the clinical researcher, the domain expert does not have and should not have to acquire.
TweenMe is built for the domain expert with research questions and a data heritage that can answer them — and no AI background.
It is a universal digital twin generator in Do It Yourself mode — designed so that the domain expert keeps control of the research question, the data and the results, with no algorithmic intermediary. The promise is twofold: accessibility (no AI prerequisites) and speed (a few weeks from raw data to a reliable digital twin).
Transparency note: TweenMe has been deployed in 4 paid POCs in real operational environments (TRL 6–7). The clinical and territorial interfaces described (GHT dashboard, predictive alerts) are under development within PREDICARE — they are not part of the engine currently deployed. MDR certification is planned but not engaged.
TweenMe is the technological answer to a precise question: how do you build, from heterogeneous industrial data of variable quality, a specific and dynamic computational representation faithful enough to support relevant predictive decisions?
Health data has a structural property that defeats most classical machine learning approaches: it is high-dimensional with low sample depth. A single patient may generate thousands of variables — but the available cohort is often limited to a few dozen or a few hundred subjects.
Four sequential, fully guided steps — with no algorithmic expertise required.
TweenMe is not a healthcare-specific tool. Its architecture rests on generic principles applicable to any sufficiently instrumented complex system.
TweenMe is the forge; PREDICARE is the terrain.
TweenMe produces the intelligent agents that compose PREDICARE's territorial digital twin. Each agent is a specialized predictive model, forged by TweenMe to answer a precise clinical or territorial question — and deployed within the operational frame of PREDICARE.
PREDICARE provides what the forge cannot produce alone: the territorial infrastructure, the clinical governance, the funding model and the regulatory framework in which TweenMe operates as a deployable system.
This interdependence is structural, not contingent. It is documented in the PREDICARE v3 memo.
Is it economically sustainable?
Is it governable over time?
If any of these questions remains open, that is where the work begins.