Limbix (by BigHealth)
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
AI-driven personalized physiology for proactive healthcare and precision medicine.
physIQ is a pioneer in digital medicine, providing a cloud-based platform that translates continuous physiological data into clinical insights. Their technical architecture is built upon 'personalized physiology,' where AI models establish a unique baseline for each individual patient rather than comparing them to population averages. In the 2026 market, physIQ stands as a critical infrastructure layer for decentralized clinical trials (DCTs) and high-acuity remote patient monitoring. The platform leverages FDA-cleared algorithms to process massive streams of sensor data—including ECG, respiration, and movement—from medical-grade wearables. By identifying subtle deviations from a patient's 'normal' baseline, the system can predict clinical decompensation days before symptoms appear. This proactive approach significantly reduces hospital readmissions and enhances the safety and efficacy of pharmaceutical research. The platform integrates seamlessly into clinical workflows via HL7/FHIR standards, making it a robust solution for large-scale health systems and global CROs seeking to operationalize wearable data into actionable medical intelligence.
Uses Bayesian learning to create a multivariate baseline for each patient, detecting subtle changes that would be missed by population-based thresholds.
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Scaleable AI-driven chronic disease management and prevention through conversational coaching.
AI-driven primary care platform revolutionizing patient triage and digital health delivery.
FDA-cleared digital therapeutics leveraging AI-driven neuro-gaming to treat cognitive dysfunction.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Specific algorithms designed to detect early signs of fluid overload and decompensation in HF patients.
A middleware layer that standardizes data from various third-party medical sensors into a unified analysis format.
An interface that prioritizes patients who show significant physiological deviation, using AI-driven triage logic.
Tools for researchers to discover and validate new digital indicators for drug response or disease progression.
End-to-end encryption from sensor to cloud with SOC2 Type II and HIPAA compliance protocols.
Bi-directional data exchange with Epic, Cerner, and other major EHR systems using HL7 FHIR standards.
High readmission rates due to delayed detection of heart failure symptoms.
Registry Updated:2/7/2026
Medication adjusted remotely
Readmission avoided
Lack of objective, continuous data in drug trials due to periodic clinic visits.
Managing patient safety and toxicities during aggressive chemotherapy/immunotherapy.