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  • State of the Market
    Feb. 25, 2026

    The clinical development technology market transform as life sciences enterprises increasingly rely on digital and AI-enabled solutions to manage rising costs, complex regulatory demands, and longer development cycles. This State of the Market report outlines how…
  • Tech Launch Perspective
    Feb. 26, 2026

    Life sciences enterprises are under pressure to accelerate research, improve evidence generation, and operationalize AI across clinical and commercial functions. Fragmented data estates, evolving regulatory requirements, and the growing importance of real-world and genomic data are…
  • PEAK Matrix®
    Nov. 25, 2025

    With global and adaptive clinical trials’ rising complexities, life sciences organizations are increasingly adopting intelligent Randomization and Trial Supply Management (RTSM) platforms to enhance operational efficiency, ensure regulatory compliance, and safeguard patient integrity. RTSM systems have…
  • Provider Compendium
    Dec. 17, 2025

    Life sciences organizations are increasingly prioritizing automation, configurability, and real-time visibility to support modern clinical trial requirements. As adaptive designs, decentralized models, and global multi-protocol studies become more prevalent, the role of Randomization and Trial Supply…
  • PEAK Matrix®
    Sep. 01, 2025

    eCOA solutions are transforming clinical trials by enabling accurate, real-time capture of patient, clinician, and caregiver-reported outcomes through smartphones, tablets, web portals, and provisioned devices. These platforms are redefining how clinical trials capture participant-reported data by…
  • Provider Compendium
    Nov. 25, 2025

    Life sciences enterprises are accelerating their shift to modern digital platforms to meet evolving demands for agility, patient-centricity, and regulatory compliance. Traditional ERP and CRM systems are giving way to cloud-based platforms that enable intelligent, connected…
  • Viewpoint
    March 26, 2024

    This report underscores synthetic data’s vital role in addressing data challenges during AI initiatives. It highlights the significance of leveraging synthetic data to train and optimize AI models effectively. Additionally, it explores best practices for using…