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AIML

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
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AI-driven Advancements in Life Sciences

September 9, 2025
The momentum behind AI-driven advancements in life sciences has never been stronger, and this trend was spotlighted in Everest Group’s new 2025 PEAK Matrix® report, “Life Sciences AI and Analytics Services for Commercial PEAK Matrix® Assessment 2025.” Trinity Life Sciences is...
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Empowering Field Teams: A Case Study in AI-Driven Call Planning

June 25, 2025
Field sales serve as the primary bridge between companies and healthcare professionals to build trust, provide valuable information and drive product adoption. Effective call planning is essential, as it allows reps to prioritize their engagements, tailor messaging and maximize their impact.  ...
Pharma sales representative educating a HCP
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The Next Wave of Global AI Medical Devices: Innovation in Action

July 19, 2024
A recent bipartisan initiative by Senators Martin Heinrich, Mike Rounds, Marsha Blackburn and Todd Young urged the Centers for Medicare & Medicaid Services (CMS) to establish a formal payment pathway for algorithm-based health care services (ABHS). This move addresses the need...
Blog

AIML-Based Patient Finding—Threading the Needle in the Haystack

July 21, 2023
For life sciences companies focused on rare diseases, accurate patient finding is a worthy challenge—one deserving dedicated time and resource to tackling and solving. The benefit of enrolling even one new patient is large, both for the lives of patients in...
A single person in a crowd
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