Frangipani
Top 20
I’d say here is your answer:
Powering quantum leaps in human health
nference partners with health systems to transform decades of rich and predominantly unstructured data captured in electronic medical records (EMR) into powerful software solutions that enable scientists to discover and develop the next-generation of personalized diagnostics and treatments for patients worldwide.
https://anumana.ai/newsroom/Y2hEMhQAALOqsOie
Building a federated clinical analytics platform through partnerships with top health systems
We partner with the world's top health systems that have unique rich and longitudinal data that captures the leading edge of clinical care. Our partners include the Mayo Clinic, Duke Health, Banner Health, and Vanderbilt University Medical Center. We leverage state-of-the-art technology and deep biomedical expertise to unlock the value of multimodal EMR data, transforming it into powerful solutions for the healthcare ecosystem with a focus on medical centers and biopharmaceutical companies.
FOR BIOPHARMAS
We work with biopharma companies who leverage our proprietary EMR data, software products and services to address important challenges across the drug lifecycle, ranging from target discovery and clinical trial design to real-world outcomes research.
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FOR HEALTH SYSTEMS
We partner with health systems who leverage our platform to address the end-to-end challenges associated with unlocking the potential of EMR data in a privacy preserving manner including record de-identification, curation of unstructured information and data creation via digitization of pathology and molecular sequencing.
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NFERENCE PLATFORM
How the nference platform works
Existing EMR Data
Decades of rich but unprocessed data
Electronic medical records (EMRs) contain a tremendous amount of information about human health, but is largely unstructured. The amount of data from Mayo Clinic alone - 500M+ clinical notes, 4B+ images, 1B+ lab results and more - pose a challenge and an opportunity
Data Creation
Pathology digitization and molecular sequencing
We digitize tens of millions of archived pathology slides using high-throughput state-of-the-art scanning capabilities, and we work with sequencing partners to provide clinical-grade whole exome and transcriptome sequencing for patients seen at our partner centers. These data creation processes enrich the real world data currently existing in EMRs
Deidentification
Best-in-class algorithms and ‘Data Under Glass’
Patient and data privacy are at the core of everything we and our partners do. Our algorithms for deidentification, including for challenging data modalities such as unstructured (free-text) data, have been certified as best-in-class. Our “data under glass” approach ensures that the data, even after deidentification, always remains at the center.
Augmented Curation · Harmonization
Making healthcare data computable
The majority of EMR data exists in semi-structured or completely unstructured forms. A critical part of enabling artificial intelligence applications downstream is transforming this data into a structured labeled data. We leverage state-of-the-art technology coupled with deep biomedical expertise to transform semi-structured data (harmonization) and unstructured data (augmented curation), resulting in the largest labeled dataset in healthcare.
Neural Networks · Triangulation
Creating AI-enabled solutions for healthcare
We use the labeled data on its own to train state-of-the-art neural networks that enable next-generation diagnostics and precision medicine. We also triangulate the labeled data with other datasets such as public literature, molecular and real world data to create solutions and support scientific discovery.
I recall Nandan Nayampally also liking a post about a company called anumana not long ago, which keeps on showing up in a revolving banner on the nference website…
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