Applications
Across Biology
and Medicine
In Physico applies nanoscale electrostatic sensing, dynamic phenotyping, and AI-supported analysis across biological research, therapeutic development, and translational medicine.
Discuss Application Fit
SUPPORTED BY COLLABORATIONS ACROSS ACADEMIA AND MEDICINE
Many biological changes are difficult to detect through molecular or endpoint measurements alone.
In Physico helps researchers observe hidden physical signals that may influence disease progression, therapeutic response, and biomedical innovation.
Disease Mechanisms
Understanding biological processes behind disease progression.
Therapeutic Response
Tracking how living systems respond to interventions over time.
Biomarker Discovery
Identifying physical signatures linked to disease states.
Novel Early Disease Biomarker
Discovery Across Biology & Medicine
Powering insights across a wide range of biomedical fields.
Neuroinflammation
Reveal evolving physical changes associated with neuroinflammation and therapeutic response over time.






Target Discovery
Identify and validate novel disease targets by measuring physical biology signatures across living systems.

Identify and validate novel disease targets by measuring physical biology signatures across living systems.

Evaluate and prioritize promising biological candidates using measurable physical signatures and response patterns.

Refine candidate selection through continuous biological measurement, comparative analysis, and iterative learning.

Monitor biological responses across complex systems to strengthen confidence in preclinical findings.

Connect preclinical physical signatures to translational models to guide clinical development strategies.

Powered by AI Integration with the help of our Software Development Partner
CodePhusionWhere In Physico Supports Scientific Decisions
The platform is especially relevant when researchers need to understand not only what changed, but how and why biological systems changed over time.
Mechanism Exploration
Investigate physical changes linked to disease and therapeutic response.
Response Comparison
Compare how treatments, conditions, or biological systems affect physical signatures.
Model Improvement
Use dynamic measurement data to improve predictive disease and discovery models.
Experimental Prioritization
Guide next-step experiments and reduce trial-and-error with physical signatures.
Bring Physical Biology
Into Your Research
Discover how physical measurement, AI-supported analysis,
and predictive modeling can support biomedical research.

