nference
nference is a healthcare technology company dedicated to transforming biomedical data into actionable insights through AI and data science. They partner with leading healthcare centers and research institutions to develop innovative solutions for personalized medicine, clinical data management, and medical device development. Their mission is to accelerate discoveries in human health by creating a comprehensive, multimodal, real-world data platform and AI-powered tools for research, diagnostics, and therapeutics.
Industries
Nr. of Employees
large (251-1000)
Products
Federated clinical analytics platform
A platform that provides secure, federated access to de-identified, longitudinal multimodal clinical datasets (imaging, genomics, signals, clinical notes) and includes cohort design, analytics workbench, and model development tools.
Federated clinical analytics platform
A platform that provides secure, federated access to de-identified, longitudinal multimodal clinical datasets (imaging, genomics, signals, clinical notes) and includes cohort design, analytics workbench, and model development tools.
Services
Deployment of Federated Clinical Analytics Platform (FCAP)
Onboarding and deployment of a federated analytics platform at partner health systems to enable secure access to de-identified multimodal clinical data, federated model training, and reciprocal research collaboration.
Genomics and biobank services (WES, gene panels, biosample management)
Clinical-grade sequencing (whole exome and transcriptome), biosample management, and integration of molecular data with EMR-derived clinical phenotypes for research and discovery.
Pathology digitization and whole-slide image generation
High-throughput scanning and digitization of archival pathology slides to generate whole-slide image datasets for AI development and research.
Augmented curation and data harmonization services
Automated extraction from unstructured clinical notes and harmonization of semi-structured EMR data (code mapping, unit normalization) to produce unified variables for analytics.
Self-service analytics, cohort design and workbench access
Provision of analytics workbench tools for cohort building, patient-journey exploration, predictive model development and interactive analyses over de-identified multimodal datasets.
Regulatory support using RWE and synthetic control arms
Services to generate regulatory-grade real-world evidence and synthetic control arms to support medical device and SaMD regulatory pathways and clinical study design.
Deployment of Federated Clinical Analytics Platform (FCAP)
Onboarding and deployment of a federated analytics platform at partner health systems to enable secure access to de-identified multimodal clinical data, federated model training, and reciprocal research collaboration.
Genomics and biobank services (WES, gene panels, biosample management)
Clinical-grade sequencing (whole exome and transcriptome), biosample management, and integration of molecular data with EMR-derived clinical phenotypes for research and discovery.
Pathology digitization and whole-slide image generation
High-throughput scanning and digitization of archival pathology slides to generate whole-slide image datasets for AI development and research.
Augmented curation and data harmonization services
Automated extraction from unstructured clinical notes and harmonization of semi-structured EMR data (code mapping, unit normalization) to produce unified variables for analytics.
Self-service analytics, cohort design and workbench access
Provision of analytics workbench tools for cohort building, patient-journey exploration, predictive model development and interactive analyses over de-identified multimodal datasets.
Regulatory support using RWE and synthetic control arms
Services to generate regulatory-grade real-world evidence and synthetic control arms to support medical device and SaMD regulatory pathways and clinical study design.
Expertise Areas
- Real-world evidence generation and RWD analytics
- Federated learning and federated clinical analytics
- Clinical trial design optimization using RWD
- Clinico-genomic data integration and analysis
Key Technologies
- Federated learning
- Deep learning for medical imaging
- Natural language processing for clinical text
- Whole-exome sequencing (WES)