Clinical Trial Technology Editorial

  1. A Data-Driven Approach That Could Change Mental Healthcare In 2025… And Beyond 12/2/2024

    Heterogeneity of patient populations combined with subjective clinical interpretation often results in imprecise treatments, frustrated patients, and poor outcomes, says Greg Hajcak, Ph.D. Here, he argues for a data-driven approach, also called “precision psychiatry,” to personalize clinical trials and care.

  2. Seeing Firsthand The Transformative Impact Of AI On Pharmacovigilance And Clinical Research 11/27/2024

    Consultants Aashna Goyal and Guriqbal Singh share first-persona accounts of how AI is transforming pharmacovigilance and clinical research by improving data processing, enhancing decision-making, and accelerating drug development.

  3. Plodding Toward Better Data Integration & SSO 10/23/2024

    Laura Hilty, a principal at HealthX Ventures, talks about the need to better integrate data platforms and improve/enable single sign-on (SSO) solutions so sites can lessen their administrative burden.

  4. AI's Potential Must Reconcile With R&D And Regulatory Bottlenecks 10/11/2024

    Evaluate's Daniel Chancellor explains that by working together to expand AI resources and adapt regulatory frameworks, the FDA and others can ensure the benefits of AI are fully realized while maintaining high standards of safety and efficacy.

  5. DPHARM 2024 Highlights ClinOps Innovations That Address Cost, Complexity, & Capabilities 10/1/2024

    The 14th annual DPHARM conference included sessions ranging from the ROI of DCTs to how and where to innovate in a resource-constrained environment. In this article, we give some of the highlights from this informative annual event.

  6. AI Can't Help Bad ClinOps/Health Equity Data 9/25/2024

    Brian Johnson, Ph.D., VP, R&D Technology at Takeda discusses the huge opportunity of connecting disparate ClinOps data and leveraging generative AI to reduce costs and labor during the clinical process. 

  7. Not What I Expected From A Vendor Conference 9/12/2024

    Dan Schell recounts some of his key takeaways after attending the Veeva R&D Quality Summit in Boston in September 2024. Some of the topics discussed include DCTs, eCOA, and the need to simplify tech integration at sites. 

  8. Why We Need Technology Consolidation In Clinical Trials 8/16/2024

    As more and more trial designs incorporate technologies that generate an immense amount of data, data managers struggle to continuously interconnect disparate systems and standardize data. All of this fuels the need for technology consolidation.

  9. Is Blockchain The Solution To Derisking Unreliable Clinical Trial Data? 8/16/2024

    Technological advances have provided fertile ground for scientific fraud, but blockchain just may be the key to ensuring a transparent, trusted, and certified process for collecting, managing, and analyzing clinical trial data.

  10. Automation: From Protocol Definition To Submission 8/12/2024

    Three members of Merck's global clinical data integration team discuss how automating various parts of the clinical trial process can improve data integrity.