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GRN Quick Facts

40M+ patients, all disease types    |     3.5M+ oncology patients     |     21 cancer subtypes     |     250 analytics studies     |     420M clinical notes deciphered     |     151M+ specialty, pathology & radiology reports studied     |     44k+ network physicians


Accelerated time to market and to cures.

Powered by a national data system, GRN initiates clinical trials faster and more cost-effectively than any other network. Combining clinical experts and operational teams who function as a single entity, we drill deeper into real world data with multi-faceted disease knowledge. ​In addition, our attention to PHI security allows only GRN and select study coordinators at trial sites to have access to secure patient identities.



Experience is our strength and your biggest asset. See some of the analytics projects in our data science repertoire:

Virtual Comparator Cohort simulation and de-identified aggregate analyses in a study of survival rates of African American women with triple-negative breast cancer

RWD Outcomes and Pooled Clinical Trial Comparisons to assess the response, progression, and survival in cases of relapsed-refractory multiple myeloma

Retrospective Data and Cohort Study among histologically-segmented soft tissue sarcoma patients over the past 10 years

Molecularly-selected Patient Investigation of PDL1 inhibitors in NSC lung cancer with molecular alterations

Phase II, III, & IV Analytics identifying archival formalin-fixed tissue for molecular characterization of prospective patients in validation cohorts

Non-invasive AI/ML Analytics to extract complex clinical note data into discrete data fields for analysis

10-year Patient Journey Analysis with deep sets of multi-domain longitudinal data across cohorts for multiple oncology subsets along with disease histories

Trial matching: The best of technology and humanity ​

Identify eligible patients for trial matching and precision diagnostic studies combining the best of technology and humanity. Both our proprietary matching process and our proven clinical validation experts can have a positive impact on your study planning, execution, and conclusion for faster starts and better outcomes.

  • Identify 100% of those eligible with no-patient-left-behind approach​
  • Get daily eligibility updates with always-on queries
  • Meticulously “read” files using proprietary NLP and AI/ML
  • Quickly track trial candidates via cloud-based, communications portal
  • Easily share study protocols, patient notes, and enrollment information
  • Mitigate site burden for more predictable enrollment​
  • Integrate hospital networks to engage study operations and coordinators
  • Supplement with clinician-verified review

Powerful technology for trial matching & diagnostic studies

Data: Deep real world data and sophisticated analytics​​

Access more than 40 million patients of all diseases and 3.5+ million oncology patients with secure data that goes well beyond traditional EMR/EHRs to include:

  • Labs, specialized tests, and imaging​​
  • Advanced & molecular biomarkers​
  • Genetic profiles & genomic sequencing
  • First, second, third line, etc., course of treatment​​
  • Tumor morphology and histology
  • Patient characteristics and status​
  • Tele-health, pharmacy, and insurance details​

Deep real world data, data science & sophisticated analytics

Leverage the mountain of real world data available with real-time data science analytics, including:

  • Discrete data queries
  • Virtual cohort comparators​​​
  • Natural Language Processing (NLP)​
  • Artificial Intelligence/Machine Learning (AI/ML)
  • Cohort outcomes analysis​
Virtual Comparators​ Cohorts: Save time and money ​

The complexity of clinical studies has outpaced the ability to evaluate and focus patient recruitment. Studies are often challenging due to ethics, expense, time, or lack of ground-level information.

Virtual comparator trials (aka in silico trials or synthetic controls) offer an alternative to efficiently evaluating new diagnostics or therapeutics by simulating patients and offering:

  • Access to a proven database of specimens linked with critical clinical data​
  • Ability to optimize inclusions/exclusions and trial design​​​
  • No enrollment effort or costs of site coordinators, recruitment or CRO time
  • Significantly reduced time constraints with existing data comparators

Virtual comparator simulation