Intelligent Biopharma Recognized as Winner of SCOPE 365 and TransCelerate BioPharma Clinical Data Acquisition Challenge

USDM 4.0-based solution receives award for Best Demonstration of Traceability and Role-Specific Review in Study Setup

October 15, 2026 — Intelligent Biopharma, a developer of AI-powered software for pharmaceutical research and development, has been named a winner of the SCOPE 365 and TransCelerate BioPharma Solve Challenge, Automating the Configuration of Data Acquisition.

The company received the award for Best Demonstration of Traceability and Role-Specific Review in Study Setup, recognizing its implementation of structured, verifiable workflows designed to improve the automation and oversight of clinical study configuration.

Addressing a Persistent Challenge in Clinical Development

Translating clinical study protocols into operational data-acquisition configurations remains complex, involving multiple systems, stakeholders, and layers of manual interpretation. Despite advances in clinical data standards, organizations continue to face challenges maintaining consistency, traceability, and alignment between study definitions and downstream execution.

The challenge focused on advancing the automation of these processes, leveraging structured clinical study information to reduce manual configuration efforts and improve operational reliability.

Intelligent Biopharma demonstrated an approach built around CDISC Unified Study Definitions Model (USDM) 4.0, combining structured study definitions, intelligent automation, and verification capabilities to support more consistent and transparent clinical study configuration workflows.

Recognized for Traceability, Verification, and Role-Specific Review

The judging panel identified several distinctive strengths in Intelligent Biopharma's demonstration:

Role-specific data views: Providing stakeholders with relevant information tailored to their responsibilities during study setup and review.
Automated inconsistency detection: Identifying conflicting or inconsistent information across study configuration elements.
End-to-end traceability: Supporting visibility into the relationships between structured study definitions, configuration decisions, and downstream outputs.
SHA-based validation: Applying cryptographic hashing to support integrity verification and confidence in configuration artifacts.

Together, these capabilities demonstrate how structured standards and intelligent automation can help address longstanding challenges in clinical study setup while preserving the transparency and accountability required in regulated environments.

Moving Beyond Digital Protocols to Operational Automation

The adoption of machine-readable clinical study definitions represents an important step toward greater interoperability in clinical research. However, realizing the value of these standards requires technology capable of translating structured information into actionable workflows that remain consistent, reviewable, and verifiable.

"Clinical development doesn't suffer from a shortage of technology. It suffers from fragmented systems, repeated manual processes, and difficulty establishing confidence in how information moves between them," said Eric McDavid, Founder and CEO of Intelligent Biopharma. "USDM provides an important foundation for standardizing study information. Our focus is on making that information operationally useful through intelligent automation, traceability, and verification. This recognition highlights the importance of connecting those capabilities."

The award reflects Intelligent Biopharma's broader commitment to developing practical AI-powered systems that bring greater transparency, interoperability, and efficiency to pharmaceutical research and clinical development.

About Intelligent Biopharma

Intelligent Biopharma develops AI-powered software solutions for pharmaceutical research and development. Its technology combines specialized AI agents, connected scientific knowledge, intelligent workflow automation, and data provenance to help life sciences organizations address complex challenges across scientific research, evidence generation, and clinical development.

Website: https://intelligentbiopharma.com

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