We partnered with a US-based life sciences company to support the development of a centralized oncology clinical trial intelligence platform, designed to transform efficacy benchmarking, competitive landscape assessment, and Target Product Profile (TPP) development for pharma and healthcare stakeholders.
The platform aimed to bring together fragmented oncology trial data into a standardized, analyzable, and decision-ready framework across solid and liquid tumor indications.
The Challenge
The client sought to address several structural challenges in oncology R&D intelligence:
-Fragmented and non-standardized oncology clinical trial data
-Difficulty in comparing efficacy outcomes across trials and therapies
-Limited visibility into approved benchmarks for TPP planning
-Need for structured insights across multiple tumor types and modalities
-Requirement for regulatory-aligned, label-consistent data sources
To succeed, the platform required high-quality, consistently structured clinical and outcomes intelligence across a broad oncology universe.
Our Role: Data Intelligence → Benchmarking → Decision Enablement
We supported the client through end-to-end oncology intelligence development, enabling seamless platform integration.
Oncology Landscape & Asset Mapping
-Reviewed a comprehensive list of solid and liquid tumor indications
-Identified FDA-approved oncology drugs across indications using authoritative regulatory and clinical sources (e.g., NCI, American Cancer Society)
-Created a structured asset universe aligned to indication, mechanism, and approval status
Label-Aligned Clinical Intelligence
-Analyzed official Prescribing Information (PI) labels from approved drug manufacturers
-Extracted and standardized clinical and regulatory attributes, including:
1. Indication & approval details
2. Trial design and arm structure
3. Patient population and line of therapy
4. Dosing overview and administration
Outcomes & Efficacy Analytics
-Structured and analyzed key clinical efficacy endpoints
-Captured supporting clinical characteristics such as Histology, Biomarker and molecular subgroup data, Key inclusion/exclusion parameters
Comparative & Benchmarking Framework
Conducted efficacy benchmarking across:
1. Experimental vs comparator arms
2. Approved standard-of-care therapies
3. Cross-trial comparisons within the same indication
-Enabled structured comparison to support TPP development and competitive positioning
Platform Enablement & Integration
-Delivered analysis-ready, standardized datasets designed for direct platform ingestion
-Ensured consistency across indications, endpoints, and trial attributes
-Supported the client’s technology team in seamless data integration into the digital platform architecture
The Results
The engagement enabled the client to:
-Launch a robust oncology clinical trial intelligence platform
-Provide pharma and healthcare users with clear efficacy benchmarks across indications
-Support data-driven TPP planning and pipeline strategy
-Improve speed, accuracy, and confidence in oncology decision-making
-Create a scalable foundation for future oncology and non-oncology expansion
Impact That Matters
This collaboration helps advance oncology innovation by:
-Improving transparency in clinical efficacy benchmarking
-Supporting smarter clinical development and lifecycle planning
-Reducing reliance on fragmented, unstructured trial intelligence
