We interpret clinical and molecular data with machine learning to anticipate and decide better.
Machine learning applied to clinical and molecular data makes it possible to anticipate how a disease, care demand or a waiting list will evolve, identify which variable explains it and measure the effect of acting on it from day one.
Every project starts from the clinical hypothesis: what data, from what sources, how they relate to one another and how much each weighs on the decision.
We validate it with the professional before building, so that the result meets the clinical expectation from the first version.
The European Health Data Space Regulation has been in force since March 2025 and applies progressively from March 2027 through to 2031. It establishes health data access bodies, secure processing environments and access rights for patients and researchers. Carrying it into the day-to-day of healthcare organisations calls for decisions on architecture, governance and operating model.
We have taken part in Spain’s first health data space projects and we operate one of the nodes of a European omics data space.
Services designed to fit the different stages in the life of each project.
Data strategy and governance: data office, operating and economic model, technology stack and relationship with users. Who may use each piece of data and under what rules, and what model sustains it over time.
Request informationWe validate hypotheses and available data, optimise the precalculations and tune the dashboards to the functional user. What data really exists and what questions it can answer, before modelling anything.
Request informationData spaces, predictive models compared on real data and dashboards that explain and recommend. Surveillance, population projections and risk stratification, comparing dozens of strategies before settling the model that goes into production.
Request informationContinuous model recalibration, intelligent dashboard explanation and training to read them. A model that is right today can be wrong in two years: projections are checked against what actually happened.
Request informationWe adapt to what each project needs, from strategy, roll-out or development through to ongoing support. Every service runs through the same method, and the full catalogue can be consulted in Services.
Adding molecular data to demographic and administrative variables multiplies the level of detail, allows new questions to be asked and reveals relationships that until now went unnoticed.
Clinical judgement decides which variables enter the hypothesis and the model measures how much each weighs on the real outcome. The scenario is recalculated as soon as a condition changes.
We tell apart the variables that signal a problem from those that explain it, simulate the effect of acting on each one and measure the result from day one.
The same capabilities open up new fields, such as clinical image analysis with computer vision or the genomic stratification of patients in clinical trials.
Our analyst discusses the what-for and the why of the analysis with the client as competently as they build it.
We compare dozens of statistical strategies in shared working sessions, free to use the most effective tool in each case, and generate the code once the model is validated.
That is our commitment, against the single model a conventional project usually delivers in a year.
Multi-omic clinical system for controlled longevity
Personalised healthData science
Biomechanical digital twin and genetic characterisation in rehabilitation
Personalised healthData scienceClinical processes and governed AI
Psychoeducational mediators and auditable machine learning
Personalised healthData scienceClinical processes and governed AI
Epigenetic modulation of PRRSV susceptibility in pigs
Bioinformatics servicesData science
Training in generative AI and machine learning
Bioinformatics servicesData scienceClinical processes and governed AI
Machine learning models in production
Data scienceClinical processes and governed AI
Operational and clinical intelligence analytics platform for HIV
Data scienceClinical processes and governed AI
Artificial intelligence assistant for occupational medicine
Data scienceClinical processes and governed AI
Intelligent assistants for public health management
Data scienceClinical processes and governed AI
Intelligent virtual assistant for emergency care
Data scienceClinical processes and governed AI
We propose how to address it.
More information on any of our services, capability areas and fields of work.
Email genetics@origen.bio
