INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES
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Expedite Drug Development With An Integrated CDMO-CRO Model
From optimizing first-in-human strategies to leveraging AI-enabled digital architectures, the integrated CDMO-CRO services model reduces risk and maximizes program value.
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What Happened At ASCO 2025?
ASCO 2025 underscored both the momentum in oncology innovation and the critical need to protect the infrastructure that enables it—ensuring that tomorrow’s breakthroughs remain within reach for all patients.
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Beyond the Acronyms: What Today's Trials Really Need From RTSM
Consider how resin selection, process optimization, and system qualification create scalable workflows that meet evolving regulatory and operational demands in modern biomanufacturing.
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Why Data Integrity Still Matters — Even As Clinical Trials Evolve
Data integrity remains essential for compliance and patient safety. Learn strategies to maintain accuracy and reliability as clinical research evolves toward more connected, technology-driven models.
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The Intelligent Teammate: Agentic AI As A Catalyst For Clinical Innovation1/22/2026
Agentic AI cuts variability, speeds clinical workflows, and strengthens compliance. It boosts efficiency and supports teams as research demands grow. Explore the full article for insights.
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Implementing An ERP System: 5 Key Steps To A Successful Rollout4/3/2025
Key success factors to implementing an ERP system include assembling a competent project team with leadership support, phased implementation to align with regulatory compliance, and careful data migration to ensure system reliability.
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Facilitate Widespread Outpatient Immunotherapy Treatments With DHTs6/6/2025
An expert panel explores how the industry leverages digital innovation to manage immunotherapy risks and critical next steps toward deploying scalable, technology-driven CRS monitoring solutions.
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What It Takes To Achieve Patient-Centric Clinical Trials10/8/2026
Patient centricity is shifting from separate initiatives to a connected operating model. Survey data from sponsors, CROs, and sites show where fragmentation persists and what is required.
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How AI Can Accelerate Clinical Trial And Registry Builds6/29/2026
AI tools speed study design — from protocol creation to validation and analysis — by automating complex tasks and generating intelligent data while preserving control, accuracy, and flexibility.
CLINICAL TRIAL TECHNOLOGY SOLUTIONS
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Through centralized clinical data and seamless application integration, this EDC platform provides powerful cross-study and cross-functional insights that support faster, more informed decision-making.
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Navigating drug safety in the era of innovation-driven medicine
The focus on drug safety and pharmacovigilance has never been more intense. Patient safety remains paramount throughout a product's lifecycle, even as sponsors and marketing authorization holders (MAHs) face increasing complexity in managing safety data. This complexity stems from huge volumes of data generated from scores of diverse sources, much of it rapidly expanding unstructured data. Innovation-driven medicine is a key factor. These dynamics are reshaping the landscape of drug safety, presenting both challenges and opportunities for innovation in pharmacovigilance practices.
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Discover how partnering with a trusted and experienced technology provider can help to overcome barriers associated with the collection and management of large-scale digital data.
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For teams managing real-world evidence or post-market studies, automation offers a scalable solution to streamline workflows, maintain compliance, and accelerate decision-making.
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Learn how academic researchers, analytic companies, sensor and connected device organizations, sponsors, and CROs can unleash the potential of human-data connections.