Beroe Inc. analyst T.G. Prasanna discusses agentic AI for clinical research and how it must be evaluated as a regulated operating cost transformation, with platform, orchestration, compliance, validation, and oversight costs modeled together.
- Why Life Science Tech Pilots Fail After The Demo — And How To Avoid It
- Inside Versiti's Data Strategy: Building AI-Ready Research Systems
- How Versiti Turns Data Into A Lifeline For Rare Blood Patients
- What Is Shadow AI, And How Does It Impact Clinical Trial Tech?
- Will AI And Agile Project Management Help Advance RBM?
- Building A Clinical Trial Tech Stack That Actually Works
- The Integration Dilemma: Who Decides Which Tech Stack Wins?
- Why Clinical Trial Sites Are Drowning In Tech Chaos
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Choosing The Right eClinRO Solution For Reliable Trial Data
Electronic clinician-reported outcomes (eClinROs) enhance the quality and consistency of clinical trial data. Discover key factors to consider when selecting an eClinRO provider.
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What Is Ontology? Learn About The Data Layer That Makes Agentic AI Work
Get an overview of ontology, the "semantic translator" that determines whether your AI investments actually compound or stay forever siloed.
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6 Ways Sponsors & CROs Are Optimizing Site Performance
See how Florence’s Site Enablement Platform works to overcome common trial hurdles and improve clinical trial operations, accelerate studies, and streamline compliance.
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Expand Clinical Trial Recruitment With Advanced Analytics And AI
Using advanced analytics and AI can help clinical trial leaders identify and enroll a broader, more diverse patient population, accelerating research.
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A Better Approach To eConsent: Flexibility With Enabled Technology
Electronic consent, or eConsent, digitalizes the trial participant consent process through increasingly simplified, interactive, educational models designed to improve comprehension and boost engagement.
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Patient Diversity Case Study: RWD Solutions
See how by leveraging medical claims and diversity data, this clinical trial sponsor was able to identify relevant patients meeting the trial’s I/E criteria, broken out by race and gender.
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Driving Enrollment Predictability In Clinical Trial Timelines
Missed enrollment targets cost millions—TA Scan’s benchmarking and simulation tools empower sponsors to forecast with confidence, optimize site strategy, and keep budgets on track.
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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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Improving Site Efficiency With Automated Drug Resupply And Forecasting
Interactive Response Technology (IRT) can transform site operations by replacing error-prone manual processes with real-time, automated systems that relieve some of the burden on trial sites.
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Feasibility Insights In HR+/HER2 - Metastatic Breast Cancer
This case study showcases how advanced analytics were used to streamline feasibility planning for a Phase II clinical trial targeting HR+/HER2- metastatic breast cancer as a second-line treatment.
- Designing eCOA Technology Patients Can Actually Use
- Clinical Trial Technology Doesn't Fail – It Fails At The Handoff
- Inside Versiti's Data Strategy: Building AI-Ready Research Systems
- How Versiti Turns Data Into A Lifeline For Rare Blood Patients
- Building A Clinical Trial Tech Stack That Actually Works
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