An RF engineer explains why sensor physics and analog design, not software, determine whether wearable trial data can be trusted.
- Designing eCOA Technology Patients Can Actually Use
- Clinical Trial Technology Doesn't Fail – It Fails At The Handoff
- 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
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Responsible Use Of AI In Healthcare: Work In Progress
Delve into the transformative role and potential benefits of artificial intelligence (AI) in healthcare and learn why it's crucial to carefully consider and plan for the responsible use of AI.
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Own Your Data, Accelerate Your Cure
Move from passive donor to active innovator. Explore how patient communities are building their own research infrastructure and using AI to bypass traditional barriers to drug development.
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How To Optimize Adherence Of Wearables In Your Clinical Research
Learn about the top three factors to consider when working to maximize protocol adherence and minimize missing data in a technology-enabled clinical trial.
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Accelerating Your New Therapies Path To Market With Automation
Automation has become an essential tool for addressing the inefficiencies in traditional clinical trial methodologies, enabling trial teams to instead concentrate on critical tasks such as patient care.
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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.
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Accelerating Clinical Data Review With Traceable Workflows
Clinical data review needs centralized access and traceable workflows. Leveraging AI-automation and real-time collaboration drives faster, better-informed decisions and reduced compliance risk.
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Improving Patient Outcomes With Wearables In Major Depressive Disorder
Learn how medical-grade wearable devices can help advance treatments in conditions like major depressive disorder and paint a more complete picture of patients with this often debilitating condition.
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In A Time Of Uncertainty, Reliable Partners Are Vital To Researchers
By selecting stable and proven solution providers, uncover how researchers can ensure the uninterrupted continuity of their trials and seamlessly launch new studies.
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Growing Pains: The Real Story Behind Gen AI Development In Clinical Trial Ops
As Gen AI develops and reaches advanced stages it introduces risks such as model hallucinations, which can affect trial accuracy and reliability. Explore how to address these challenges.
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Empowering Clinical Trial Sponsors With Analytics
Explore data challenges faced by sponsors, the underlying problems driving those challenges, and flexible processes and solutions designed to help overcome them.
- Why Trustworthy Clinical Trial Data Starts As Analog, Not Digital
- Why Clinical Trial Coordinators Are Still The Human API
- 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
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