Biocogniv
Biocogniv is a digital diagnostic company focused on predicting and diagnosing time-critical medical conditions using artificial intelligence on top of laboratory data. The company develops predictive AI models and a cloud-based platform to assist healthcare providers in early detection and management of conditions such as sepsis, COVID-19, respiratory failure, and acute heart failure, aiming to improve patient outcomes and reduce preventable hospital deaths.
Industries
Nr. of Employees
small (1-50)
Biocogniv
Products
Cloud platform for clinical laboratory analytics and model deployment
A cloud-hosted platform that ingests laboratory test data, applies automated interpretive rules and predictive models, and returns patient-level guidance to clinicians in real time.
AI-derived predictive diagnostics for acute conditions
Predictive model suite using routine laboratory tests and vitals to identify risk for acute conditions (examples include sepsis, respiratory failure, acute heart failure, acute kidney injury, GI bleed).
Cloud platform for clinical laboratory analytics and model deployment
A cloud-hosted platform that ingests laboratory test data, applies automated interpretive rules and predictive models, and returns patient-level guidance to clinicians in real time.
AI-derived predictive diagnostics for acute conditions
Predictive model suite using routine laboratory tests and vitals to identify risk for acute conditions (examples include sepsis, respiratory failure, acute heart failure, acute kidney injury, GI bleed).
Services
Real-time clinical model deployment
Deployment and operation of cloud-based systems that deliver predictive model outputs and interpretive commentary into hospital clinical workflows.
Laboratory data engineering and interpretation automation
Harmonization of multi-site laboratory data and automated expert-rule interpretation to increase throughput and standardize result commentary.
Clinical validation and regulatory evidence generation
Design and execution of multicenter validation studies and preparation of regulatory submissions using real-world evidence for diagnostic software.
Real-time clinical model deployment
Deployment and operation of cloud-based systems that deliver predictive model outputs and interpretive commentary into hospital clinical workflows.
Laboratory data engineering and interpretation automation
Harmonization of multi-site laboratory data and automated expert-rule interpretation to increase throughput and standardize result commentary.
Clinical validation and regulatory evidence generation
Design and execution of multicenter validation studies and preparation of regulatory submissions using real-world evidence for diagnostic software.
Expertise Areas
- Clinical AI for acute care
- Real-world data aggregation and evidence generation
- Machine learning model development and external validation
- Cloud-based clinical decision support deployment
Key Technologies
- Machine learning / artificial intelligence
- Cloud-based analytics and real-time deployment
- Real-world evidence (RWE) datasets
- Laboratory data harmonization pipelines