Offrimed


Developer of human digital twin technology that creates statistically matched virtual patients from multi‑modal biomedical and clinical data to support clinical trial design, predictive simulation, hybrid control arms, and preclinical in‑silico prediction. Provides platform and project services for trial simulation, real‑time analytics, cohort construction, and in‑silico drug/target prediction intended to reduce trial size, time, and costs and to provide alternatives or supplements to animal testing.

Industries

clinical-trials
health-care
pharmaceutical

Offrimed

Suwon, Ch'ungch'ong-namdo, South Korea, Asia


Products

Human digital twin platform

Platform that creates statistically matched virtual patients for clinical simulation, cohort generation, and outcome prediction.

Virtual-patient management and real-time simulation platform

Platformized access to virtual cohorts with real‑time simulation and analytics for protocol design and operational forecasting.

Trial analytics and outcome prediction suite

Toolset for predicting trial duration, dropout and adverse event rates, approval probabilities, dose optimization, and root‑cause analysis of trial failures.


Services

Virtual patient generation and management platform

Provision of virtual patient cohorts and management tools to support simulation, synthetic control construction, and cohort lifecycle management.

Clinical trial simulation and hybrid trial design services

Design and simulation services for hybrid trials that combine real and virtual participants, including endpoint prediction, sample size optimization, and trial analytics.

Preclinical simulation and animal‑data replication services

Project‑based modeling services that predict preclinical outcomes (toxicity, PK/PD) from animal and experimental datasets to inform study design and reduce animal use.

Real‑time trial analytics and monitoring service

Operational analytics during active studies including enrollment forecasting, dropout and adverse event prediction, interim outcome assessment, and risk identification.

Expertise Areas

  • Human digital twin modelling for clinical research
  • Clinical trial simulation and design optimization
  • Hybrid trial and synthetic/external control-arm methodologies
  • Predictive analytics and machine learning for clinical outcomes
  • Show More (4)

Key Technologies

  • Human digital twin modelling
  • Virtual patient generation
  • Machine learning and deep learning
  • Multi‑modal data ingestion (EHR/EMR, imaging, genomics, biosignals)
  • Show More (4)

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