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
-
What Does EDC Look Like In 2024 And Beyond?
Read along as industry experts from TrialKit offer insights into the anticipated developments and challenges surrounding electronic data capture.
-
Hearing The Patient Voice Through Technology & eCOA
Discover the benefits of gathering patient data through electronic clinical outcome assessments and electronic patient-reported outcomes over paper versions.
-
Maximizing Site Performance: The Hidden Benefits Of Unified eConsent And EDC
Disconnected systems for eConsent and EDC create inefficiencies that burden clinical trial teams, but modern integrated platform solutions are streamlining operations.
-
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.
-
Why Data Integrity Still Matters — Even As Clinical Trials Evolve
Data integrity remains essential for compliance and patient safety. Learn strategies to maintain accuracy and reliability as clinical research evolves toward more connected, technology-driven models.
-
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.
-
Focusing On Patient-Reported Outcome Measures And eConsent
Learn how digital solutions can contribute to a more participant-centered approach and potentially enhance the regulatory utility of PRO data while improving the overall quality and efficiency of oncology trials.
-
How AI And ML Can Transform Clinical Trial Conduct
There’s no doubt that 2023 will be remembered as the year that artificial intelligence and machine learning became mainstream. Gain an overview of the uses of AI and ML in clinical conduct.
-
Televisits: Why Integrate Telemedecine Features In eCOA Trials?
Discover new possibilities where patients can complete several of their clinical study procedures remotely, making their participation in clinical trials easier and less cumbersome than site-based trials.
-
Bridging Clinical Efficacy And Real-World Effectiveness In Digital Therapeutics Trials
No matter how conclusive clinical evidence is for medical treatments, developers may struggle to see precisely how their treatment performs in the real world—outside the controlled environment of the clinic or office.