nference and the Bill & Melinda Gates Foundation Enter Into Multi-Year Collaboration to Advance Health Equity
Collaborations for Life Sciences
Our scientists use the nference platform and data in collaboration with your teams to tackle your most important questions and challenges
nference is creating the largest labeled EMR dataset in healthcare
EMR data contains longitudinal real-world, “deep data” rich in clinical phenotypes and outcomes spanning across therapeutic areas, but exists in largely semi-structured and unstructured form. The nference platform powers the transformation of the raw data into a labeled EMR dataset.
HARMONIZATION
We leverage our deep biomedical expertise to transform semi-structured data (e.g. lab tests, procedures) into structured data through technology-enabled data harmonization.
AUGMENTED CURATION
We build upon state-of-the-art neural networks and Natural Language Processing (NLP) methods to transform unstructured clinical text (e.g. clinical notes) into structured patient features.
LIFE SCIENCES COLLABORATION
Triangulation across data and state of the art algorithms power collaborations
Connecting structured, harmonized EMR data with publicly available literature, molecular and real world datasets and applying our powerful proprietary algorithms allows us to ask and answer challenging questions
Triangulation With Public and Proprietary Data
Integrating additional data sources with labeled, curated and harmonized EMR data can strengthen the insights derived from downstream data analysis. This data includes biomedical literature (ex. PubMed), clinical trials (ex. clinicaltrials.gov) and molecular data (ex. Gene Expression Omnibus).
State of the art algorithms
The labeled, curated and harmonized EMR data serves as a starting point that enables training state-of-the-art AI algorithms. We develop these algorithms as solutions to some of the major challenges in healthcare, including early detection and diagnosis of disease, identification of biomarkers for disease progression and more.
NFERENCE COLLABORATIONS FOR LIFE SCIENCES
Work with our scientists to tackle hard problems across R&D, Medical Affairs, HEOR and Strategy
Our scientists will use the nference platform and data in collaboration with your teams to tackle the questions and challenges most important to you
Target discovery
Identify candidate targets with significant evidence for potential therapeutic benefit for a selected indication
Lifecycle Management
Evaluate likelihood of drug success pre-launch and identify opportunities for commercialized assets
Clinical Trial Design
Build complex patient cohorts using real world EMR data to optimize clinical study criteria and study design. Read our Publication
Real World Outcomes
Track patient-level outcomes following specific treatments or interventions
Precision Medicine
Identify biomarkers or correlates of disease progression or treatment outcomes using our clinico-genomic data which spans therapeutic areas
Early Intervention
Identify indicators of disease or disease progression to support earlier, targeted treatment or intervention
Early Diagnosis
Leverage the longitudinality of our dataset and power of our technology to identify early predictors of disease
Drug Toxicity
Identify drug side effects and understand the populations most susceptible to them based on real world use
Symptoms
Identify disease symptoms and understand the populations most susceptible to them
Patient Journey
Get disease area specific insight on the end-to-end patient journey, leveraging longitudinal patient data
Target discovery
Identify candidate targets with significant evidence for potential therapeutic benefit for a selected indication
Precision Medicine
Identify biomarkers or correlates of disease progression or treatment outcomes using our clinico-genomic data which spans therapeutic areas
Symptoms
Identify disease symptoms and understand the populations most susceptible to them
Lifecycle Management
Evaluate likelihood of drug success pre-launch and identify opportunities for commercialized assets
See More
Early Intervention
Identify indicators of disease or disease progression to support earlier, targeted treatment or intervention
Patient Journey
Get disease area specific insight on the end-to-end patient journey, leveraging longitudinal patient data
Clinical Trial Design
Build complex patient cohorts using real world EMR data to optimize clinical study criteria and study design. Read our Publication
Early Diagnosis
Leverage the longitudinality of our dataset and power of our technology to identify early predictors of disease
Real World Outcomes
Track patient-level outcomes following specific treatments or interventions
Drug Toxicity
Identify drug side effects and understand the populations most susceptible to them based on real world use
See Less
NFERENCE PUBLICATIONS
Peer-reviewed publications
Our partners and clients have used our data and analyses to publish insights in a array of academic journals
Download Our One-Pager
Featuring key corporate highlights and an overview of nference’s technology
@2024 nference, Inc. All rights reserved.