Infiuss Health
Digital patient twins for simulating response and supporting trials
Infiuss Health is a Digital Patient Twin platform that unifies health data from EHRs, genomics, imaging, labs, and wearables into a virtual patient representation. It is designed to simulate and predict health outcomes, including disease progression and treatment response, and to support clinical research by modeling patient response before a study begins. The company also describes a simulation layer for Randomized Controlled Trial design and a direct-to-patient approach for connecting researchers with eligible participants.
Core capabilities include AI-powered predictions, what-if scenario modeling, protocol simulation, research cohort stratification, and real-time data synchronization with EHR/EMR systems, wearables, and IoT devices. The platform supports interoperability standards such as HL7 FHIR and DICOM, and includes project management through its Probe platform. Additional features cover clinical research insights, predictive analytics, real-time monitoring with anomaly detection, and patient engagement tools such as interactive dashboards and adherence tracking. The system is described as cloud-native with HIPAA and GDPR compliance.
The product is aimed at research professionals, CROs, patients, and healthcare systems, with applications spanning cardiology, oncology, diabetes, neurology, respiratory, maternal health, pharmacogenomics, and chronic disease. Sponsors can use study-specific, flexible solutions for fully remote or hybrid clinical research studies. The pages describe a demo request option but do not specify a free plan, trial, or pricing model.
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