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AI-Driven Research & Operational Solutions

GLSA AI Solutions bring together a diverse network of pre-vetted partners delivering AI-powered technologies across preclinical research, clinical trials, and operational workflows. These solutions support smarter planning, more efficient execution, and better outcomes by helping life sciences organizations move faster while maintaining quality and compliance standards.

Designed for sponsors, CROs, and research sites, GLSA connects teams with AI capabilities across the full development lifecycle.

From advanced analytics and performance optimization to patient engagement tools, virtual and decentralized trial support, operational automation, and AI-enabled content and insights, GLSA helps identify and integrate the right technologies to streamline workflows and strengthen collaboration.

Guided by Experience. Powered by Connections.

Chris Matheus brings a strategic, real-world perspective to the application of AI across the life sciences ecosystem. Through GLSA’s AI initiatives and global partner network, he connects organizations with a trusted network of AI innovators and technology partners that work directly with teams to explore, evaluate, and identify practical AI solutions aligned to their business and clinical goals.

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Chris Matheus

Partner | Global Life Sciences Alliance
Trusted 30 Years in Accelerating Clinical Research

GLSA AI Solutions for Life Sciences Industry

Performance Optimization

AI-driven trial efficiency

GLSA connects sponsors and sites with AI-enabled platforms that improve trial oversight and resource planning.

  • Real-time performance reporting and visibility

  • AI-driven resource optimization

  • Stronger pipeline control and oversight

AI-Enabled Clinical Platforms

Connecting sponsors and sites

GLSA connects teams to AI-enabled platforms that simplify communication, data flow, and compliance across trials.

  • AI-enhanced site communication and coordination

  • AI-driven workflows and data integration

  • Accelerated timelines with AI-enabled compliance

Clinical Data Intelligence

Actionable insights for trial decisions

GLSA connects sponsors and sites with AI platforms that turn clinical data into actionable trial insights.

  • AI-powered medical record and data processing

  • Optimized enrollment and feasibility insights 

  • Predictive analytics and real-time reporting

AI Writing & Content Automation

Streamline regulatory documentation.

AI writing tools improve productivity and consistency across clinical, scientific, and regulatory content.

  • Accelerated clinical and regulatory writing

  • Improved documentation quality and accuracy
  • Reduced manual workload for teams

Digital & AI Trial Solutions

Patient-centric trial delivery.

GLSA links sponsors and sites to AI digital platforms for hybrid, decentralized, and compliant trials.

  • eConsent, telemedicine, and AI-driven engagement

  • Real-time data capture and wearable integration

  • Enhanced patient and site experiences

Patient Enrollment & Retention

AI-enabled recruitment for enrollment.

AI-powered recruitment solutions help identify, engage, and retain the right patients while expanding reach.

  • Intelligent patient matching and targeting

  • Digital outreach to accelerate enrollment

  • Engagement tools that support retention

AI Training & Performance

AI-driven learning for clinical teams

AI learning tools that improve training outcomes, workflows and team performance.

  • AI simulations and interactive learning tools

  • Skills development aligned to clinical operations

  • Performance tracking and continuous improvement

Preclinical Development

Preclinical Strategy & Progress

GLSA provides fractionalized preclinical leadership to align science, strategy, and execution.

  • IND-enabling strategies and preclinical planning

  • Asset prioritization and risk mitigation planning

  • Alignment with regulatory and clinical objectives

AI Clinical Strategy

AI-driven planning for smarter trials

GLSA links sponsors to AI solutions that improve clinical planning and operational alignment.

  • AI-driven feasibility and strategic planning

  • Predictive timelines and resource forecasting

  • Data-guided alignment across study execution

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