DATA MANAGEMENT
Castor Product Spotlight: The Self-Driving Study
Discover how agentic AI automates clinical workflows, reducing data timelines from weeks to hours and cutting chart review costs by 90% while maintaining regulatory-grade rigor and audit readiness.
Building An Analytics Culture In Clinical Development
Discover how embracing fast and flexible clinical analytics can help you address clinical questions and provide real-time insights into data issues as they arise.
Beyond Clinical Trial Disclosure – The Ethical And Business Demands For Clinical Trial Transparency
The COVID-19 pandemic brings to light the ethics of getting information out more quickly than strictly required by regulation, or more thoroughly, as medical professionals, media and the general public are all looking for effective and safe treatments.
Why Veeva CDB
Watch a two-minute video to learn how Veeva Clinical Database (CDB) aggregates, cleans, and transforms clinical data from various sources, including third-party EDCs.
Helping Sponsors Keep Up With The Latest Clinical Trials Intelligence
Trialtrove helps sponsors form development strategy, anticipate competitive activity, benchmark trial designs and analyze trends. Sponsors also enjoy direct access to industry-leading analysts.
How FAIR Data Principles Power Clinical Analytics Success
Explore key challenges in accessing and preparing analytics-ready clinical data, how FAIR guiding principles can help maximize the value of clinical trial data, and the impact of innovative analytics.
New AI Assistant Aids In Clinical Settings
Discover a new AI Copilot that revolutionizes clinical data analysis and offers seamless deployment with intuitive question-answering, chart generation, and content integration.
Improving Safety Reporting Speed And Accuracy With Automation And Embedded Intelligence
Watch this exploration of real-world case studies of companies utilizing intelligent process automation and embedded, regularly updated safety reporting regulatory intelligence of psiXchange software.
Evolving Data Review With AI
AI is transforming clinical data review by automating processes and enhancing efficiency. Discover the four stages of evolution that emphasize automation, regulatory alignment, data analysis, and human oversight.
Introduction To An End-To-End Clinical Data Science Platform
Watch to learn about an end-to-end clinical data science platform designed to streamline the rapid generation of deep insights from clinical trial data, enabling efficient delivery of crucial analyses.
Keeping Your Trials In Motion And Use AI Where It Makes Sense
Explore the "pinball" approach used by the Judi platform that is giving stakeholders a distinct competitive advantage in the clinical trial landscape.
Streamline The Clinical Trial Disclosure Process
Core Data simplifies the registry submission and approval process by consolidating data for multiple registries into one single form, promoting consistency across registries and saving time by minimizing data entry.
Yes, Your Study Is At Risk: Risk Mitigation Plans For Endpoints
Ocular endpoints often introduce unique bottlenecks that can stall enrollment and compromise data integrity. This presentation provides the tools for a streamlined, resilient clinical trial strategy.
Simple Description Of Clinical Analytics
Without teamwork, the best solutions still fall short. Unlock your clinical data's potential and transform chaos into clarity by starting with clear questions, adapting to insights, and fostering collaboration.
Clinical Analytics Use Cases For AI
Automating FDA data validation rules and analyzing audit trail data can significantly reduce fraud and predict areas of concern. Discover how these advancements can transform your clinical trials.
Leveraging AI And Machine Learning To Deliver Next Generation Feasibility & Site Selection
In this presentation delivered at SCOPE 2022, hear how ICON leveraged Study Feasibility to its advantage.
Medidata Research Alliance
The Medidata Research Alliance collaborates with scientific and medical research communities to use clinical trial data for medical advancements and increased patient access to innovative treatments.
Improving Supply Chain: Accountability, Sustainability, Optimization
Watch as industry experts explore the advancements in drug accountability facilitated through IRT, encompassing innovative methods for managing site variations and sustainable supply chains.
Days Instead Of Weeks: What It Actually Takes To Close The DBL-To-TLF Gap
The weeks after database lock often stall reporting. Here's how automated, deterministic TLF generation speeds up that timeline.
ETL: Maximizing Reuse Of Your Clinical Trial Data
ETL — extract, transform, and load — enables sponsors to operationalize clinical trial data, leverage off the investment they have made in other sources to reuse data, and automate populating key elements for registration on CT.gov and EudraCT.
Using Technology To Reduce Monitoring Costs And Increase Quality
Join industry experts as they discuss how the true value of DDC lies not just in the cost of the technology itself but in the operational efficiencies it unlocks.
Accelerating Clinical Data Review With Traceable Workflows
Discover how streamlined workflows and enhanced collaboration between data managers and medical reviewers can boost clinical trial efficiency, improve data quality, and ensure patient safety.
How To Boost Disclosure Efficiencies With Outsourcing
In this webinar, you’ll hear about exciting new advisory and managed disclosure services from TrialScope, including: compliance, policy and process assessments, as well as plain-language summaries, protocol registration, results posting, and redaction services.
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Better Data Strategies: Best Practices For Integrating And Analyzing
In this panel discussion, we explored best practices for integrating and analyzing data to support informed decisions, including how ICH E6 R3 defines risk-proportionate approaches in clinical trials, what that means in practice, and how sponsors and sites can adapt. You ...
The AI Paradox In Clinical Trials
AI is advancing the way clinical trial results are analyzed and interpreted. But those advancements still depend on the quality and reliability of the data generated during the trial itself.
Some Top Concerns When Implementing AI In Clinical Trials
Everything from fear of loss of personal privacy to risk bias can be a concern when implementing AI in clinical trials.
How To Supercharge RWE Generation In Phase IV Trials
Watch as speakers discuss their joint efforts in implementing patient-centric digital trial solutions that harness the potential of RWD, translating it into actionable Real-World Evidence insights for a sponsoring client.
Overcome Data Challenges With Real-Time Workflows And Analytics
Explore how clinical teams can overcome data access and analysis challenges with real-time workflows, traceable decisions, and flexible analytics to accelerate insights and improve collaboration.
Modernizing Clinical Research With AI And Digital Data
Discover how ActiGraph is revolutionizing clinical trials with patient-focused digital data and cutting-edge technology that enhances trial efficiency across all phases.
Amplifying Evidence With Unified Clinical Trial Data Collection
In this presentation, we explore the transformative potential of integrating a unified clinical trial data collection platform with intelligent automation, challenging the inadequacies of the status quo.