AI Playbook & Resources

Intelligence for modern trial sponsors

Practical guidance on using data and AI tools to accelerate site selection, improve feasibility outcomes, and reduce startup timelines.

Case Studies

Results sponsors achieved with LINEA

76 Sites Delivered Against a Target of 60 for a Relapsing MS Trial

A sponsor needed 60 qualified sites. LINEA delivered 76, with 50% of CDAs and feasibility questionnaires completed within seven days of outreach.

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12 Sites Identified for a Vaccine Response Study in Vaccine-Naive MS Patients

With a target of 10 sites and a narrow vaccine-naive eligibility requirement, LINEA identified 12 qualified sites and cut document turnaround time in half.

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65 Sites Delivered for an Acute Coronary Syndrome Trial, 46 Selected

A cardiovascular sponsor needed sites with ACS trial experience across a compressed timeline. LINEA delivered 65 qualified sites with a 2-to-3-day document turnaround.

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21 Sites Identified for a Primary Biliary Cholangitis Trial, 18 Approved for PSV

For a rare hepatology indication with strict eligibility criteria, LINEA identified 21 sites against a target of 20. Eighteen were approved for Protocol Site Visits.

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Guides & Playbooks

Practical resources for clinical operations teams

Common Questions Guide for AcceleTrial

Answers to the most common operational questions sponsors and site teams have about AcceleTrial workflow, document handling, and activation steps.

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AI Integration Playbook for Clinical Operations Leaders

A 5-step framework for evaluating, piloting, and scaling AI across the clinical trial workflow. Covers governance, use case selection, pilot design, and enterprise-wide integration.

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Measuring Site Selection ROI: A Framework for Clinical Operations Leaders

A practical framework for quantifying the cost of poor site selection and calculating the ROI of data-driven approaches, built for budget conversations and leadership presentations.

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Site Scoring
Feasibility
Investigator Intelligence
Contract & Startup
Geographic Strategy
Regulatory Data
Enrollment Forecasting
AI in Clinical Trials

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