AI in Action: Shaping the Future of Oncology Clinical Research

November 18, 2026—This live webinar explores practical applications of AI in oncology trials, focusing on three high-impact areas: 1) patient matching and identification using advanced algorithms to accelerate enrollment and improve diversity; 2) seamless data collection through integration from electronic medical records to electronic data capture, reducing manual errors and increasing efficiency; and 3) automated imaging analysis, such as AI-driven RECIST measurements, to improve consistency and speed in response assessments.

Participant Compensation in Clinical Research: How Much Is Too Much?

January 27, 2027—This live webinar will examine the ethical and regulatory considerations surrounding participant reimbursement, compensation, and incentives in clinical research. Participants will explore how payment amounts, structures, and delivery methods can influence enrollment, retention, participant reporting, and access to research opportunities.

​​Risk‑Based Decisions: Key Skills for Ensuring Quality Control Under ICH E6(R3) Guidance​

Aligned with the latest ICH GCP E6(R3) principles, this course provides practical strategies for applying risk-based quality management (RBQM) approaches and focusing resources where they can have the greatest impact. Learn how to identify, assess, prioritize, and manage risks using Critical-to-Quality (CtQ) factors, while incorporating Quality by Design (QbD) principles into trial planning and conduct.

​​Foundations of Clinical Trial Monitoring with ICH E6(R3) Guidance​

This course answers the fundamental question, “What is clinical trial monitoring?” while providing a practical introduction to the monitor’s role, responsibilities, and activities throughout a clinical trial. Explore on-site, remote, centralized, and risk-based monitoring approaches aligned with ICH GCP E6(R3).

Building Project Management Skills for Clinical Research

This webinar introduced the foundational principles of project management in the clinical research environment, with a focus on how these skills show up in day-to-day study operations. Panelists explored key concepts such as scope, timelines, communication, risk, stakeholder alignment, and change management.