Deep learning is reshaping clinical trial design, execution, and analysis. Learn how to deploy it safely, measurably, and at scale with help from life sciences consultant and MIT industry advisor Partha Anbil.
- Telehealth In Clinical Trials: What You Need To Know
- Enabling Cloud Computing In DCTs For Remote Data Capture, Monitoring, And More (Part 1)
- Safe And Sustainable DCTs and Hybrid Trials (Part 2)
- Forget More Clinical Tech, We Need More Adoption
- Joe Dustin: Sites Are Driving Clinical Tech Evolution
- How Salk And Sabin Helped Create The Modern Clinical Trial
- How To Operationalize AI-Enabled eTMF Systems Under The EU AI Act (Part 2)
- How AI-Enabled eTMF Systems Are Impacted By The EU AI Act (Part 1)
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Mobile App And Wearable Integration Collects Longitudinal Data
Get an overview of SISCAPA's utilization of eTechnologies, specifically ePRO, and how their partnership with CDS accurately demonstrates the improvement of data collection and analysis in the biotechnology industry.
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Improving Oncology Trial Experiences & Efficiencies Digital Solutions
Uncover how a top-10 pharmaceutical company was able to overcome oncology clinical study obstacles with a digital software platform.
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Recruitment Capabilities Delivering In Today's Trial Landscape
Recruitment demands diverse capabilities — AI, data analytics, stakeholder engagement, operational excellence — to meet complex protocols and deliver high-quality patient enrollment outcomes.
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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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Overcoming Real-World Data Capture Challenges In Phase 4 Trials
As the demand for real-world insights continues to grow, learn why navigating challenges and leveraging emerging opportunities becomes crucial for advancing clinical research in the real-world setting.
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Central eSource Is The Latest In Sponsor Provided Site Offerings
For decades, sponsors have provided tools to help clinical sites work more efficiently. Central eSource is the latest evolution in this trend.
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Pharmaceutical Company Gets Unified Decentralized Platform
Unearth how this global eClinical provider delivered a decentralized platform including eSource/ePRO for direct-data-entry, randomization, eConsent, telehealth, remote monitoring, and data management.
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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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Why Real-Time eCOA Data Matters More Than Ever
Real-time eCOA data enables faster eligibility decisions, proactive issue alerts, and streamlined operations by unifying data, improving precision, responsiveness, and trial execution efficiency.
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Maximize The Value Of Wearable Data
Explore this near real-time adherence monitoring solution for clinical trial sponsors that compares wearable device data collected from a participant's scheduled activities and visit dates.
FROM THE EDITOR
- Telehealth In Clinical Trials: What Sites And Patients Think
- Telehealth In Clinical Trials: What You Need To Know
- Forget More Clinical Tech, We Need More Adoption
- Joe Dustin: Sites Are Driving Clinical Tech Evolution
- How Salk And Sabin Helped Create The Modern Clinical Trial
- Why HEOR Keeps Arriving Too Late — And How ClinOps Can Fix It
- FDA Vs. MHRA Vs. EMA: Differences In Externally Controlled Trials
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