DIGITAL TWIN
Optimise Human Trials with Our Digital Twin
Our digital twin simulates how an intervention changes the gut microbiome, and what that means for outcomes.
THE PROBLEM
Health effects emerge from interactions
A biomarker can indicate a difference without explaining what drives it. Microbes exchange metabolites, respond to diet and interact with the host. Understanding how these relationships produce an outcome means investigating the connected system, including how a change in one part affects the others.
digital twin
Explore how the microbiome works in silico
Minutia Twin combines biological evidence with Bayesian causal modelling through a proprietary framework built for microbiome and multiomics data. Investigate proposed mechanisms, compare possible explanations and explore how changes could propagate through the system, connecting microbial relationships to outcomes relevant to your research and products.
PRODUCT OVERVIEW
Trace mechanisms and simulate individual responses
Model your trial before you run it. The digital twin lets you pre-specify the mechanism behind your product’s effect, so you can make stronger health claims and avoid spending on studies unlikely to work.
THE BENEFITS
Make your data and research investment go further
Focus investment on the most promising ideas
Compare mechanisms and intervention scenarios in silico, prioritising experiments that can resolve uncertainty and advance product development.
Get more scientific value from your data
Connect microbiome and multiomics measurements within a biological model, turning existing datasets into a resource for new research questions.
Build a stronger case for your product
Link product hypotheses to proposed mechanisms and measurable outcomes, strengthening the rationale behind your validation studies and product differentiation.
the process
How we work with your team
Define the Question
We align on the mechanisms, outcomes and individual differences you want to investigate, alongside the scientific and commercial decisions the work should inform.
Bring Evidence Together
We review your microbiome, multiomics and study data alongside relevant biological knowledge, identifying which relationships can be modelled and where additional evidence is needed.
Build Models and Explore Scenarios
We construct and evaluate the model, run in silico experiments and examine predicted responses, proposed causal pathways and sensitivity to the underlying assumptions.
Turn Findings into Research Decisions
Together, we identify mechanisms worth testing, promising intervention targets and the experiments or clinical studies that can move your research and product development forward.
Commonly Asked Questions
What is a microbiome digital twin?
How is this different from biomarker analysis?
What makes the models explainable?
What data do we need?
How are proposed mechanisms validated?
Can we use Minutia Twin to simulate trials?
Does the FDA recognise these approaches?
Have more questions? Check out our full FAQ page.