nference uses AI software to analyze biomedical data, aiming to improve patient outcomes while protecting privacy.
Key Focus Area: The company, nference, specializes in leveraging real-world evidence platforms to unlock healthcare data from electronic health records (EHRs) for the purpose of accelerating healthcare research. It aims to integrate this data with various advanced artificial intelligence (AI) technologies to enhance clinical insights and improve patient outcomes across several medical disciplines including cardiology, oncology, immunology, rare diseases, neurology, infectious diseases, and nephrology.
Unique Value Proposition and Strategic Advantage: nference's unique value proposition lies in its ability to transform vast amounts of unstructured and semi-structured medical data into structured, research-ready datasets. This transformation process is heavily supported by their AI-powered platform, which enables complex data harmonization, curation, and integration with public and proprietary datasets. The strategic advantage of nference centers on its proprietary knowledge graph and AI algorithms that convert EHR data into actionable insights, thus making it a formidable partner for both life sciences entities and healthcare systems looking to harness the potential of real-world data.
How They Deliver on Their Value Proposition:
Data Collection and Integration: nference has partnered with leading healthcare institutions to collect over 10 billion radiology images, 1.4 billion clinical notes, and large quantities of other clinical data types. This ensures a rich dataset that covers a wide spectrum of modalities, including cardiology and oncology.
Data Processing: The company employs advanced de-identification algorithms to ensure strict patient privacy while processing data. Techniques such as augmented curation transform clinical notes into structured datasets, enabling complex and accurate analysis.
AI and Advanced Analytics: Through the use of AI models and algorithms, nference can conduct advanced data analyses, including predictive modeling and cohort analytics. Their nSights platform democratizes access to real-world evidence, allowing researchers and data scientists to create, train, and validate AI models using multimodal healthcare data.
Cross-Industry Collaborations: nference facilitates collaborations across academia and industry, including life sciences and health systems, enhancing its capability to conduct comprehensive research and drive innovation in clinical trials, drug development, and medical diagnostics.
Solution Offerings: nference provides solutions for life sciences and health systems by ensuring data privacy through methods like federated analytics and promoting cross-departmental collaboration by streamlining data management across health networks.
Ethical and Responsible Practices: The company commits to ethical principles in data handling, as reflected in their responsible disclosure practices and adherence to international standards for information security like SOC 2 Type II and ISO/IEC 27001:2022.
In conclusion, nference stands out for its ability to harness biomedical data at scale, transforming it into evidence that can drive healthcare innovations. Its strategic focus on AI and data integration positions it effectively within the health data ecosystem, supporting the advancement of medical research and improving clinical outcomes.