Recognize change earlier.
Identify meaningful change while there is still time to act.
Prysmia Care · Biomarker Foundry
From human signals to biomarkers that matter.
We investigate how accessible, noninvasive signals can become reliable digital measures of health status, change, and risk. We begin with face and video, and test each finding against clinical reference measures and observations over time.
Why we do this
Better measures can inform better decisions.
When a biomarker is validated for a specific use, it may help identify changes earlier, follow a person’s trajectory, and inform decisions with better evidence. That possibility drives us to study measures that could serve primary, secondary, and tertiary care.
Follow trajectories.
Understand trajectories, responses, and follow-up needs.
Use resources wisely.
Help prioritize care and, where appropriate, support quality of life and reduce avoidable costs.
The value of observing over time
A snapshot captures a moment. A trajectory asks better questions.
We begin by studying face and video across repeated observations of the same person. We investigate which changes are consistent, what they might mean, and how to test them against clinical information.
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Conceptual visualization. It does not represent clinical results or a health trajectory.
Our approach remains open to other signals when they add demonstrable value to a specific question.
Purposeful research
Start with the question. Then build the measure.
We choose problems where better measurement could change a decision and design studies that can challenge our hypotheses.
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What is changing within a person?
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How do we distinguish a real signal from capture or context variation?
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What evidence would make a measure useful for a specific decision?
Each candidate biomarker must answer its own scientific and practical questions.
Evidence and stage
Evidence before clinical claims.
We distinguish what published research has shown from what Prysmia Care is investigating and still needs to validate.
A hypothesis worth testing
Research on facial representations and longitudinal change informs our starting point. Those findings do not, on their own, validate a Prysmia Care measure.
From exploration to validation
We have carried out exploratory technical work on facial representation. We are now defining the questions, protocols, and collaborations needed to test candidate signals against clinical reference measures and examine reproducibility.
Privacy and security
Trust is designed in.
Working with human signals and health data requires clarity from the outset about why data is collected, who may access it, how it is protected, and which uses are authorized.
Defined purpose
Each program needs a documented purpose and scope.
Controlled access
Responsibilities and permissions must be established before data capture.
Traceability
Protocols and decisions that make data provenance and use understandable.
Responsible use
Clear retention terms and authorized uses for each collaboration.
We design our approach to adapt to the requirements of each jurisdiction, including Peru’s data protection framework, the EU GDPR, and HIPAA requirements in the United States where applicable.
Partnerships
Evidence grows with those who know the problem.
We seek partners to identify meaningful questions, design studies, and evaluate whether a signal can become a useful, transferable measure.
Clinical institutions
Clinical questions, care context, and studies with relevant reference measures.
Research groups
Methods, hypotheses, and opportunities for independent validation.
Life sciences
Measurement challenges and evidence programs with potential applications.
Who we are
Latin American roots. Global trajectories.
Prysmia Care was born in Latin America and brings together perspectives shaped by research, healthcare, technology, and product building across countries. We want rigorous science from our region to engage with institutions and challenges worldwide.
Build evidence together
Is there a question we should investigate together?
If you work in clinical care, research, or life sciences and see an opportunity to build stronger evidence, let’s talk.