Platform

Simupharma is a multimodal biomedical intelligence platform creating
unified data capsules for real time predictions and insights.

Multimodal Data Capsule

A continuously updated, individualized data structure integrating:

EMR

Structured clinical history powering
longitudinal predictions and
personalized risk modeling.

Wearable

Continuous telemetry from smart
devices capturing heart rate, activity,
sleep, and more in real time.

Implantables

Real-time data from implantable devices
for continuous, personalized health
monitoring.

Genomic Imaging

Custom imaging metrics analyzed for spatial insights, health related changes and anomaly detection.

Labs

Biochemical signals from routine
and specialized tests feeding
dynamic health trajectories.

Biosecurity Infrastructure

Data is processed to a custom, evolving health data structure that is securely stored on device, reduced for precision and efficiency and structured for specific uses by the health data ecosystem. Permissioned layers of encrypted personal health data can be shared for clinical care or research purposes under user control.

Genomic variants

Variant-level insights from an individual’s genetic blueprint, supporting mechanistic understanding of their health ecosystem, informing about treatment related responses, the exposome and tailoring therapeutic planning.

Detect anomalies in real time 

Simupharma system tailors health analytics to each individual by utllizing proprietary data ingestion algorithms that can use unique biological and lifestyle data for increased health prediction accuracy.

Forecast clinical trajectories

Advanced simulations convert complex health data into clear, actionable insights to support informed health choices.

Update predictions as new data arrives

Anticipate potential health outcomes before they occur with simulation-based predictive modeling, portrayed to the user for better understanding of risk. 

Simupharma’s Vision

“The future of medicine is individualized, real‑time, and multimodal.
Simupharma is building the infrastructure to make that future possible.”

  • Secure
  • Scalable
  • Interoperable
  • Designed for regulatory pathways

 

Realtime risk assessment 

 

Temporal forecasting

 

Drift detection

 

Cross‑modal correlation analysis

 

Clear interpretability and evidence 

 

Cohort stratification

 

Digital biomarker discovery

  • FHIR / HL7
  • Wearable APIs
  • Imaging Systems
  • Genomic Pipelines
  • Cloud EHR environments
  • User inputs