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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Biosample Tracking: A Consenting Dilemma
Biosample collection is an inevitable part of most clinical trials. Learn how sponsors should be tracking every sample back to the source so as to not violate compliance issues.
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The Role Of AI Throughout The Clinical Research Journey
AI revolutionizes clinical trials by optimizing study design, automating processes, enhancing patient-centric approaches, and providing real-time insights.
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Keep Up With These 5 Patient Engagement And Recruitment Trends
From decentralized trials to real world data, take a look at top trends, their impact on patient enrollment and more, as well as ways to stay ahead of the curve.
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Remote Captured Sleep Data Unlocks New Clinical Insights
Gathering rich, real-world data in formal clinical trials has been difficult. Gain insight into ways to start collecting quality sleep data remotely by leveraging cloud-based data ingestion and processing.
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Overcoming Inventory Challenges For A Complex, Global Study
Explore how the optimization of Interactive Response Technologies (IRT) settings relieved the burden of managing global supply needs for a CRO customer and clinical sponsor.
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Revolutionizing Clinical Trial Feasibility
Transform feasibility into a continuous, data-driven process, that helps sponsors streamline trial planning, maintain timelines, and deliver therapies to patients faster.
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Zero Disruptions: Migrating 14 Mid-Study Clinical Trials In 16 Months
Uncover how Imperial College London was able to effectively transfer 14 ongoing studies, encompassing over 1,700 patients and 150,000+ forms, onto a new EDC platform within 16 months.
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Implementing Cognizant® Shared Investigator Platform: Lessons From The Field
One leading oncology healthcare system and research institution has recently successfully implemented Cognizant SIP and shares its best practices around planning for and implementing Cognizant SIP given such a large footprint.
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Digitizing Multilingual COAs: A Practical Guide
With pen and paper becoming obsolete in the digital era, shifting to electronic Clinical Outcome Assessments (eCOAs) is becoming more critical than ever. Download the available checklist for a guide through the four main steps required to ensure a successful English build and language migration.
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8 Key Applications Of Real-World Data In Multiple Myeloma Therapy Development
Explore how therapeutic area (TA) datasets can be leveraged to address the challenges multiple myeloma (MM) presents in the field of hematologic malignancies.