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Beyond the ICD Code: Why Patient Finding Must Lead to Commercial Action

September 30, 2026
For years, the life sciences industry has invested heavily in finding patients earlier, more accurately, and at greater scale. As data sources expand and machine learning models improve, patient-finding programs have become more sophisticated. A new generation of AI capabilities now...
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What NRDL 2025 Outcomes Mean for Drug Pricing and Market Access in China

September 17, 2026
China's reimbursement environment changed with the introduction of the NRDL value rating framework in 2023 and the Commercial Insurance Innovative Drug List (CIIDL) in 2025. NRDL 2025 outcomes show that payers continue rewarding breakthrough therapies, comparative evidence, and treatments for unmet...
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From Research Delivery to Decision Orchestration: The Next Evolution of PMR

September 10, 2026
Primary market research (PMR) has long been a trusted advisor to brand teams, helping organizations understand customers, test assumptions, and reduce uncertainty in critical business decisions. Over the past decade, however, many PMR organizations have been asked to do more with...
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How AI and Patient-Level Data Help Oncology Teams Define New Markets

September 8, 2026
Oncology markets are no longer defined only by tumor type or line of therapy. AI, patient-level data, and primary research now help teams define markets by biology, care pathways, and access barriers. That shift can shape development strategy, trial design, and...
Person interacting with with technology
Trinity: Deep Dive

From Static Insights to Always On Intelligence

May 6, 2026
There is a growing paradox in life sciences commercialization: more data and more research than ever, yet many critical decisions still rely on static decks, siloed databases, and one time studies that go stale almost immediately. Commercial, medical, and market access...
Person interacting with data fabric
Trinity: Deep Dive

The AI Context Layer: The Missing Link in AI-Ready Data

April 29, 2026
Most commercial life sciences organizations have invested heavily in data. They have lakehouses, harmonized data feeds, and dashboard environments like Power BI, Tableau, and Snowflake that teams rely on daily. These tools already carry semantic models: metric definitions, schema relationships, and...
AI sitting on top of an AI Context layer
Trinity: Deep Dive

De-Risk Market Access: Simulate Payer Decisions Before You Go to Market

April 29, 2026
Market access teams routinely make high-stakes decisions with incomplete information and compressed timelines. Primary market research remains the gold standard, but in-depth interviews with payers are expensive, logistically complex, and difficult to repeat iteratively as strategy and data evolves. The result...
Female payer with her digital twin
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