Data Management

Why future-ready pharma companies must embrace AI-driven, real-time decision-making.

How clinical operations teams can close the gap between controlled trial results and real-world adoption by generating evidence in broader, more representative patient populations.

AI as an accelerator for data-centric, process-centric, and human-centric clinical research.

As clinical research increasingly relies on RWD to enhance trial design and patient insights, tokenization has emerged as a critical solution for securely linking disparate datasets while protecting patient privacy.

How human-centered AI that is focused on customer, user, and employee experience can drive real transformation in clinical trials and beyond by aligning intelligent technologies with the people who use them.

As wearable ECG technology advances, cardiac safety studies in clinical trials are evolving to capture richer, continuous heart data while reducing patient burden.

In this Q&A, Megan Bailey, EVP and president of central laboratories and international, Labcorp, discusses how central labs are evolving beyond testing to become strategic partners in clinical trial success.

The importance of applying past lessons to align clinical development with scientific advancement.

Clinical research evolves to prioritize patient-centered outcomes, integrating accessibility standards in electronic data capture for inclusive clinical trials.

As stakeholders debate fair market value in clinical trial budgeting, a new task force works to align sponsors, CROs, and sites on transparency, sustainability, and efficiency.

Webinar Date/Time: Thursday, June 26th, 2025 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST

Case study highlights how clinical operations teams can overcome complex regulatory and operational hurdles to finish a trial on time and on budget.

How digital intake solutions driven by technological advancements can help overcome the challenges of operating across different regulatory markets.

In this video interview, Michel van Harten, MD, CEO, myTomorrows, discusses where the clinical research industry currently stands with AI adoption.

A pragmatic approach to streamlining technology and innovating processes will help advance clinical data management.

Overcoming hurdles with licensing complexities, post-production changes, and IRB submissions can help in reducing timelines and increasing collaboration.

In this episode of the Applied Clinical Trials Podcast, David Nickerson, head of clinical quality management at EMD Serono; and Arlene Lee, director of product management, data quality & risk management solutions at Medidata, discuss the newest ICH E6(R3) GCP guidelines as well as how TransCelerate and ACRO have partnered to help stakeholders better acclimate to these guidelines.

Companies share their experience in future-proofing clinical data technology.

An article published by the Journal of the American Medical Association highlights recent updates made to the CONSORT checklist and how they ensure the accuracy of trial reports.

In this video interview, C.K. Wang, MD, chief medical officer, COTA, discusses a recent study he led on the validity of using real-world data for reporting mortality.

In this video interview, Rob Jones, product manager, TMF practice area, Pharmalex, talks AI and how change is needed for the clinical trials industry to fully understand its potential with automation.

Strategies for ensuring that innovation with PROs remains parallel with advancements in disease detection and progression.

In this video interview, Derek Ansel, vice president, therapeutic strategy lead, rare disease, Worldwide Clinical Trials, discusses how artificial intelligence can aid in bringing therapies to rare disease patients faster.

In this video interview, Derek Ansel, vice president, therapeutic strategy lead, rare disease, Worldwide Clinical Trials, talks collaboration and maximizing resources among the various stakeholders in rare disease research.

In this video interview, Thierry Escudier, portfolio lead, Pistoia Alliance, highlights the need for maintaining data privacy in a highly regulated clinical research industry.