Measure
Generate a consistent molecular result at a meaningful time point.
Data & AI research
Cancer intelligence should learn across time
and we are building the foundation it needs
VitaGuard begins with a signal. Fidelion’s larger ambition is to learn responsibly from how molecular signals change—and what those changes may come to mean.
The opportunity in time
From isolated results to a
living molecular history
A single MRD result shows one moment. A series can show a trajectory.
Connected responsibly to treatment, imaging, pathology and outcomes, those trajectories may help research reveal patterns in recurrence and response.
How intelligence grows
Measure reliably, connect responsibly
then test what the patterns can mean
Useful intelligence begins with reliable measurements and clinical context. Every application must then be supported by consent, data rights, governance and independent validation.
Connect
Link repeat results to consented clinical context.
Discover
Look for patterns that may matter across patients and time.
Validate
Test whether those patterns are accurate, useful and generalizable.
Make time visible
Turn repeat results into a
clearer molecular story
Structured results
Molecular status, quality measures and comparison with earlier results.
Longitudinal views
Clear displays of serial results and changes in MRD status.
Validated analytics
Potential tools for studying recurrence, response, resistance and biomarkers.
Questions time may help answer
Follow the patterns of recurrence, response and resistance
These research questions define the longer-term analytical programme around longitudinal molecular trajectories.
Risk and trajectory
Study patterns associated with persistence, clearance and later relapse.
A fuller view of change
Explore ctDNA alongside treatment, CEA, imaging and pathology.
Resistance and adaptation
Investigate molecular patterns that may accompany response or resistance.
Trials and biomarkers
Support stratification, evidence generation and biomarker discovery with partners.
Trust by design
Powerful data needs
stronger stewardship
Testing consent does not automatically permit research, AI or commercial use. Every purpose needs an appropriate legal and ethical basis.
Use data only for approved purposes under applicable agreements and law.
Preserve how samples, results, annotations and model inputs were generated.
Build de-identification, access control and security into the system.
Validate each intended use and keep clinicians responsible for clinical decisions.
No Fidelion AI product is currently available for clinical use. Any future application will require appropriate data rights, validation, clinical evidence and regulatory review where applicable.