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    Domino for
    Clinical Development

    Accelerate the discovery and delivery of novel medicines and vaccines

    Why a Successful Digital Transformation Demands a Flexible SCE
    Read the Whitepaper

    Driving Digital Transformation 

    Domino is a modern, flexible, and extensible Statistical Computing Environment (SCE) that offers language, IDE, and workflow flexibility and tracking – with full traceability and reproducibility.

    The platform includes a robust data-sharing framework for more efficient delivery of statistical analyses for clinical submissions and other post-hoc analyses and AI/ML workloads.

    Data scientists and statistical programmers at some of the world’s largest pharmaceutical companies use Domino to:

    • Expedite quality clinical submissions by embedding evidence of QC, traceability, and reproducibility into the workflow.
    • Simplify the unblinding process.
    • Quickly respond to post-hoc analysis requests.
    • Easily develop models and recommendations by combining clinical data with data from external sources, such as biomarker data, genomics data, etc.

    Why Domino for Clinical Development

    Domino makes optimal use of cloud-native technologies to orchestrate the control and governance required for GxP while maintaining the flexibility critical to driving innovation. It allows R&D organizations to unleash the power of data science and advanced analytics across all stages of R&D.

    Flexible Workflows
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    Governed Access to Data
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    Multilingual Infrastructure
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    Embedded GxP Compliance
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    Flexibility without sacrificing governance

    Domino’s unique governance framework and integration capabilities give teams the flexibility to design workflows around their purpose rather than worrying about or feeling constrained by compliance.

    Benefits:

    • Manage versions of source code natively or sync with external code repositories (e.g., GitHub or GitLab).
    • Track team progress using integrated project management capabilities, or sync status seamlessly to Jira.
    • Collaborate effortlessly with internal peers, CROs, regulators, and other key stakeholders.
    • Use advanced analytics and AI/ML for both biostatistics and research functions on a unified platform.
    Governed Access to Data

    Easy access to data, without compromising security

    With Domino, you have access to a wide variety of data sources with stringent protocols in place for data security and governance. The platform simplifies the unblinding process, and clinical study data can be easily used in other analytics and data science workflows.

    Benefits:

    • Automate the delivery of statistical results by sharing data from other Domino projects.
    • Manage data more effectively with integrated version control.
    • Share study data with authorized individuals without making copies for other analytics workflows such as safety monitoring and non-study analysis.
    • Integrate with established company SSO and LDAP solutions.
    • Maintain strict governance and control over sensitive data.
    Domino Multilingual Infrastructure

    Full breadth of analytic infrastructure and tools

    Domino supports a wide variety of open-source and commercial tools and languages, including Python, R, and SAS. Your team can keep pace with the ever-expanding set of tools and infrastructure.

    Benefits:

    • Collaborate with your study team using your preferred language, IDE, and compute infrastructure.
    • Use the latest open-source algorithms for deep learning and other advanced AI and machine learning techniques.
    • Configure validated and non-validated workspaces, and allow or restrict use by team or organization.
    • Onboard new users faster, attract and retain talent, and upskill teams more effectively.
    • Integrate with internal/third-party systems via robust APIs.
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    Accuracy, Traceability, and Reproducibility

    Domino provides granular governance without compromising flexibility. It offers out-of-the-box traceability and reproducibility of results in fully audited and versioned job executions, including QC. 

    Benefits:

    • Tell the complete story by viewing the automated audit trail of every job execution in a project, including a comparison of the output before and after the execution.
    • Easily view within an immutable audit record, the version of the input data, code, environment, and output data related to a job execution for full traceability.
    • Easily demonstrate 100% reproducibility of statistical results, including all artifacts and dependencies, in accordance with health authority requirements.
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    Case Study

    Testing Thousands of Hypotheses with an FDA-Qualified Research Platform

    A global biopharmaceutical leader has implemented an FDA-qualified system of record on the Domino platform to streamline its entire research and development pipeline—from drug discovery to laboratory automation to customer analytics—ultimately paving the way toward faster medical advances.

     Read the case study
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    Webinar

    Embracing Flexibility and Innovation to Modernize Clinical Trial Analytics and Reporting

    Join Eileen Ching, Director of Clinical Programming, Research & Development at GSK, and Caroline Phares, Head of Health and Life Sciences at Domino Data Lab, as they reflect on the challenges, lessons learned, and unexpected delights along this journey of digital transformation and modernization of the GSK statistical computing environment (SCE).

     Watch the Webinar

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    What History Teaches Us in Designing a Modern Statistical Computing Enviroment

    Hear from Caroline Phares about the shift from statistics to data science, the requirements for a modern SCE, and what organizations need to do to evolve for the future.

    Read the Forrester TEI Report
    Blog
    Moving Faster: How Can a Modern Statistical Computing Environment Promote Innovation and Accelerate Clinical Trials?

    The growing acceptance of R for clinical trial submissions provides greater flexibility for pharma companies.

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    Learn why Domino is powering digital transformation at many of the world's leading health and life sciences organizations

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