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)
Patents
Systems and methods for adaptively improving the performance of locked machine learning programs
US-12333393-B2
View DetailsSystems and methods for retrieving patient information using large language models
US-12254005-B1
View DetailsApparatus and method for locating a position of an electrode on an organ model
US-12213774-B1
View DetailsConfiguring a generative machine learning model using a syntactic interface
US-12211598-B1
View Details
Systems and methods for adaptively improving the performance of locked machine learning programs
US-12333393-B2
View DetailsSystems and methods for retrieving patient information using large language models
US-12254005-B1
View DetailsApparatus and method for locating a position of an electrode on an organ model
US-12213774-B1
View DetailsConfiguring a generative machine learning model using a syntactic interface
US-12211598-B1
View DetailsProducts
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
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.
Clinical-grade sequencing (whole exome and transcriptome), biosample management, and integration of molecular data with EMR-derived clinical phenotypes for research and discovery.
High-throughput scanning and digitization of archival pathology slides to generate whole-slide image datasets for AI development and research.
Automated extraction from unstructured clinical notes and harmonization of semi-structured EMR data (code mapping, unit normalization) to produce unified variables for analytics.
Provision of analytics workbench tools for cohort building, patient-journey exploration, predictive model development and interactive analyses over de-identified multimodal datasets.
Services to generate regulatory-grade real-world evidence and synthetic control arms to support medical device and SaMD regulatory pathways and clinical study design.
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.
Clinical-grade sequencing (whole exome and transcriptome), biosample management, and integration of molecular data with EMR-derived clinical phenotypes for research and discovery.
High-throughput scanning and digitization of archival pathology slides to generate whole-slide image datasets for AI development and research.
Automated extraction from unstructured clinical notes and harmonization of semi-structured EMR data (code mapping, unit normalization) to produce unified variables for analytics.
Provision of analytics workbench tools for cohort building, patient-journey exploration, predictive model development and interactive analyses over de-identified multimodal datasets.
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)
News & Updates
The 2nd Agentic AI Innovation Summit
A summit exploring agentic intelligence in precision medicine, biology, and industry, held on August 19, 2025 in Boston.
The 1st Biomedical AI Convergence (Bio-X)
A conference on AI in biomedical research, held on June 16, 2025 in Boston.
The 1st Agentic AI Innovation Summit
A summit on AI in biomedical knowledge, held on May 22, 2025 in Boston.
Partnerships and Collaborations
Partnership announcements with Valo Health, BeiGene, and others for drug discovery and research.
Research Publications and Studies
Multiple studies on AI in healthcare, including early disease detection, COVID-19 research, and cardiovascular AI.
Valo Health and nference Announce Long-term Partnership
Research collaboration to accelerate human-centric drug discovery using AI platforms.
The 2nd Agentic AI Innovation Summit
A summit exploring agentic intelligence in precision medicine, biology, and industry, held on August 19, 2025 in Boston.
The 1st Biomedical AI Convergence (Bio-X)
A conference on AI in biomedical research, held on June 16, 2025 in Boston.
The 1st Agentic AI Innovation Summit
A summit on AI in biomedical knowledge, held on May 22, 2025 in Boston.
Partnerships and Collaborations
Partnership announcements with Valo Health, BeiGene, and others for drug discovery and research.
Research Publications and Studies
Multiple studies on AI in healthcare, including early disease detection, COVID-19 research, and cardiovascular AI.
Valo Health and nference Announce Long-term Partnership
Research collaboration to accelerate human-centric drug discovery using AI platforms.