Sandboxing, demonstrated value, and a hard line at clinical judgment: a physician-researcher’s three-question test before AI touches a trial.
- Inside The Rush To Accelerated Approval: A Consultant's View
- Why Virtua Health's AI Committee Gives IT The Review, Not The Vote
- Building Effective, Retrospective Decision-Grade Disease Registries
- To Pick The Right Medical LLM, First Assess Your Readiness
- Clinical Trial Tech Fails On Systems, Not Software
- Inside A Sponsor-Site Relationship That Actually Worked
- Real-World Data Won't Replace Trials. Here's Its Real Job
- Inside Virtua Health's Pipeline For Anonymizing Trial Imaging Data
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Fujirebio Increases Study Agility By Streamlining Clinical Operations And Data Management Process
Fujirebio’s fast-growing U.S. Clinical R&D team was preparing for shorter studies with higher complexity. Traditional methods using paper and spreadsheet trackers were no longer adequate to meet quality goals. Learn how the group increased its agility and readiness with LifeSphere Clinical EDC and CTMS tools.
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Transforming Field Rep Success
As the healthcare landscape evolves, maintaining accurate and timely information delivery becomes vital for building strong HCP relationships and improving patient outcomes.
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The Science Behind Medable's Health Economics And Outcomes Research
Meet the team responsible for ensuring the scientific rigor and outcomes of Medable’s clinical trial platform, and uncover how they’ve been pioneering eCOA and ePRO research for decades.
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Empowering Oncology Research With The Right Technology Solutions
Explore how advanced technology solutions have the potential to simplify the operational aspects of oncology trials.
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Clinical Trial Budgeting Faces Pressure To Modernize
Outdated budget data slows trial startup. Real-time market benchmarking helps sites and sponsors negotiate faster and get treatments to patients sooner.
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How Heron Therapeutics Sped Up Database Creation
Electronic data capture (EDC) is straightforward, in theory. However, not every EDC is purpose-designed for ease of use by study teams, and some are easier to use and more intuitive than others.
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Demystifying AI In Clinical Trials
AI is revolutionizing clinical trials by improving efficiency and data quality, but success depends on strategy and oversight. Explore practical ways to integrate AI responsibly.
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Optimizing Integrated Registries
Integrated registries are vital to understanding disease progression, but effective integration requires a combination of data science, technical expertise, and IT architecture supporting real-world evidence generation.
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Why eSource: The Advantages of Abandoning Paper Records
Eliminate transcription errors and fully leverage supporting eClinical technology to provide a reliable consistent exchange of information.
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A New Take On The Evolving Role Of AI In Clinical Trials
Artificial intelligence is shifting from promise to practice in biopharma. Zhong Lu, director of data science and AI at Novartis, outlines how AI is evolving the clinical trials process end-to-end.
- A Framework For Deploying AI In Clinical Trials Without The Hype
- Why Younger Clinical Researchers Are More Wary Of AI Than Their Elders
- Inside The Rush To Accelerated Approval: A Consultant's View
- Why Virtua Health's AI Committee Gives IT The Review, Not The Vote
- Clinical Trial Tech Fails On Systems, Not Software
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