Clinical Technologies

INSIGHTS ON CLINICAL TRIAL TECHNOLOGIES

When To Use Wearables In A Clinical Trial And How to Get Started
Wearables work best when they close real measurement gaps — from irregular symptoms to mobility and sleep. In a unified data environment, they deliver richer insights without added complexity.
The Real Payoff Of Reusable IRT/RTSM System Design
By utilizing consistent, repeatable system builds, sponsors gain significant advantages during protocol amendments and operational changes.
A Blueprint For Modern Obesity Research
The landscape of obesity and GLP-1 research has reached a saturation point. To successfully scale to the 5,000-patient registries now required for long-term evidence, a shift in operational architecture is essential.
A Smartphone Based Biomarker For The Estimation Of Unipolar Depression Severity
The study investigates the potential of using smartphones and wearables to create objective biomarkers for mood disorders, specifically focusing on unipolar depression.

How Sponsors Can Drive Success With Central eSource At Investigator Sites
6/17/2025

Centralized eSource systems enable complex clinical trials to align with key regulatory frameworks, including ICH E6(R3), ICH E8(R1), and 21 CFR 312, to meet the highest standards of GCP.
Subject Matter Experts Matter In Decision-Making
7/21/2026

Expert-led ontology and taxonomy practices help organize data into meaningful hierarchies, making it easier to connect diseases, drug targets, and strategic insights that support stronger decisions.
What Is eCOA?
3/30/2026

Learn how electronic tools replace paper processes, support decentralized trials, and help research teams collect more reliable clinical data.
Build Or Buy: Adopting AI Agents In Life Sciences
1/8/2026

Should your team build custom AI agents from scratch or partner with a ready-made solution? This practical guide cuts through the hype to reveal the strategic insights you need.
Demystifying AI: The Fundamentals And Applications In Drug Development
9/17/2024

Explore the history of AI, gain clarity on key concepts, address common questions, and discover its transformative role in drug development, with insights into its current and future impact on the industry.

Judi Core: Pre-Configured Solutions

Eliminate manual friction and improve trial visibility with pre-configured, validated workflows. Standardize execution and ensure audit-ready data protection across every global site.
RTSM That's Ready For The Trials Ahead

Stop letting protocol changes stall your progress. Lean into agile technology and expert support to implement mid-study updates quickly, reduce site burden, and keep your timelines on track.
Rave TSDV - Improve CRA Efficiency And Reduce Site Burden

Source data verification (SDV) is a critical activity within clinical trial monitoring, yet the traditional approach focused on 100% SDV is limited in its ability to quickly identify issues and prevent them from recurring. Rave TSDV (Targeted SDV), unified with Rave EDC, enables CRAs to focus on critical to quality (CtQ) factors identified within risk management activities.
TrialKit Engage For Televisits

Conduct secure video based visits, manage study schedules, and keep participants connected through a single unified platform.
Precise, Consistent, Faster Medical Coding For Clinical Trials

Rave Coder provides medical coding for verbatim terms from Rave EDC and external sources using the MedDRA, WHODrug and JDrug dictionaries. Rave Coder centralizes and streamlines medical coding, delivering key benefits to sites, coding specialists and data managers.