Learn why the next frontier in AI governance will involve real-time surveillance of algorithmic performance across institutions with guidance from Akshaya Bhagavathula and Michelle A. Williams.
- Virtual Reality Endpoints Improve Measurement Of Patients' Real-World Benefit
- Can't-Miss Advice On Selecting Your First AI-Enabled Vendor
- The Site Perspective: Why Ambient AI Is The Missing Link In Clinical Trial Data Integrity
- Why HEOR Keeps Arriving Too Late — And How ClinOps Can Fix It
- Accelerating Clinical Innovation With Open-Source Medical Platforms
- From Supercomputers To The Cloud: How Pharma's R&D Infrastructure Transformation Impacts Clinical Trials
- How To Identify Patient-Centric Risks In The TMF With AI And Automation
- How The TMF Demonstrates Patient Safety And Rights In DCTs
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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5 Ways Lab Data Can Help Commercialize Your Therapy
Delve into five pivotal insights for leveraging lab data effectively and the collaboration that accelerated market entry for new therapies while ensuring the needs of targeted populations were met.
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Empowering Freenome: Large-Scale Data Quality And Compliance
Delve into five ways this biotech company was able to successfully deliver data quality and compliance for large-scale trials while developing next-generation blood tests for early cancer detection.
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Improving Quality And Efficiency In TMF Document Processing
By adhering to the principles outlined in this article, learn how teams can be better enabled to carry out efficient, high-quality processing of documents throughout the entirety of a study.
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How To Improve Patient Outcomes Using eSource Software In Clinical Trials
As the demand for patient-centric clinical trials grows, eSource platforms will play an increasingly vital role in facilitating efficient, compliant, and innovative research methodologies.
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Electronic Data Capture In Clinical Trials: What Needs To Improve?
Integrated technologies enhance clinical trial support, boosting the potential for quicker time-to-market. Key sponsors and CROs favoring operational efficiency prioritize "holistic study design," involving the integration of technologies (e.g., EDC, eCOA, and IRT) aligned with protocol, as opposed to constructing the study in individual tools.
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Why Use Scorecards To Make Vendor Selection Decisions
Scorecards enable structured, unbiased vendor selection by transforming complex clinical trial decisions into transparent, data-driven evaluations — ensuring operational excellence and regulatory compliance.
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Build Or Buy: Adopting AI Agents In Life Sciences
Should your team build custom AI agents from scratch or partner with a ready-made solution? This practical guide cuts through the hype to reveal the strategic insights you need.
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Perspective On The FDA's Final Digital Health Technologies Guidance
Review the final release of "Digital Health Technologies for Remote Data Acquisition in Clinical Investigations”, where the FDA acknowledges DHT value and the increasing use of them in clinical trials.
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Unify Your Data With A Centralized eClinical Platform
Despite the challenges associated with large volumes of data, maintaining quality and regulatory compliance, and enhancing patient engagement, the solutions for managing them can be simple and efficient.
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The Future Of Data Linkage In Clinical Trial Evidence Generation
Explore key questions about the future of AI and data linkage in clinical trial evidence generation.