DIA 2024 Global Annual Meeting

Component Type: Workshop
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-24-527-L04-P; CME 1.00; RN 1.00

This workshop is a deep discovery of the potential and impact of master protocol for clinical development programs. These conversations are essential in challenging traditional clinical trials as a path forward for innovation in clinical research.

Learning Objectives

Recognize the history and basics of clinical research as it relates to master protocols; Compare and contrast master protocols to traditional (fixed sample size) and adaptive trial designs; Describe important methodological principles of master protocols and simulation-guided design; Discuss key benefits of master protocols for stakeholders of clinical development programs.

Chair

Muhammad Ali Hameed, CPA, MBA

Speaker

Facilitator
Jay Park, PhD, MSc

Facilitator
J. Kyle Wathen, PhD, MS

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-24-531-L04-P; CME 1.00; RN 1.00

The ICH E11A guidance advances use of pediatric extrapolation in three areas: (1) role of exposure-response; (2) statistical implications of using external data; and (3) extrapolation of safety. After an overview, these three areas will be explored.

Learning Objectives

Define pediatric extrapolation and three components of extrapolation concept; Describe role of exposure-response in supporting data extrapolation from reference to target pediatric population; Examine the impact of extrapolation on false positive rate of a pediatric clinical trial; Outline impact of pediatric extrapolation on generation of safety data in the target pediatric population.

Chair

Robert "Skip" Nelson, MD, PhD

Speaker

FDA Update on ICH E11A EWG on Pediartic Extrapolation
Lynne Yao, MD

Industry Update
Forrest Williamson, PhD, MS

Industry Update on ICH E11A EWG on Pediatric Extrapolation
Brenda Cirincione, PhD, MS

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-24-542-L04-P; CME 1.00; RN 1.00

This session will explore special topics in causal inference. Presenters will describe trial design and analysis issues in drug development, related to both randomized trials and real-world data (RWD), that may benefit from statistical methodology to allow for better and more accurate generation of evidence with respect to drug treatment effects.

Learning Objectives

Describe various statistical approaches to handle complex design and analysis issues in drug development. Explain use case examples for illustration for causal inference methods.

Chair

Pallavi Mishra-Kalyani, PhD, MS

Speaker

Causal Inference in Clinical Drug Development: Industry Update
Antara Majumdar, PhD

Methodological Challenges and Potential Solutions When Conducting External Control Studies Intended for Causal Inference
Shia Kent

Regulatory Considerations and Case Studies of Externally Controlled Trials
Pallavi Mishra-Kalyani, PhD, MS

Component Type: Forum
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-24-530-L04-P; CME 1.00; RN 1.00

Different visionary options may lead to a different look and feel to clincial study reports (CSRs) and submissions:

Broader use of interactive displays in submissions

Sponsor provides interactive package(s)

Regulators/sponsors use their own interactive package(s)

Let’s continue the discussion on how best to collaborate on interactive safety review strategy and development.

Learning Objectives

Identify the impact of interactive displays on submission content and the review process including the clinical study report (CSR) and trial data submission, use of review software, and answering information requests.

Chair

Greg Ball, PhD

Speaker

Panelist
Scott Proestel, DrMed, MD

Panelist
Y. Veronica Pei, MD, MEd, MPH

Panelist
Glen Wright Colopy, PhD, MSc

Panelist
David Nahamya

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-24-555-L04-P; CME 1.00; RN 1.00

In this session, we will present various interactive graphics and new concept meetings that can be used to provide informative data insights and to enhance clinical trials execution from planning, monitoring, reporting, and regulatory submission.

Learning Objectives

Identify information of interest in an interactive way, which can greatly enhance clinical trials execution from planning, monitoring, reporting, and regulatory submission; Describe how to generate additional, broader, and deeper insights in helping accelerate the understanding of the clinical trial data, and further drive the understanding of disease development and patient journey.

Chair

Erya Huang, PhD

Speaker

Industry Update
Melvin Slaighter Munsaka, PhD, MEd, MS

Industry Update
Neetu Sangari, PhD, MEd, MS

Industry Update
Matthew Kumar, MSc

Component Type: Session
Level: Advanced
CE: ACPE 1.00 Knowledge UAN: 0286-0000-24-568-L04-P; CME 1.00; RN 1.00

Advanced cancers pose a dilemma between evidentiary requirements and speedy access to innovative agents. We present the results of a survey with regulators and discuss factors that influence acceptability of real-world data and possible optimal submission strategies.

Learning Objectives

Describe the challenges of drug development with evidence using external controls; Discuss regulators’ attitudes about real-world evidence and opportunities for addressing the challenges; Identify strategies using real-world evidence to maximize impact on the regulatory decision.

Chair

Francesco Pignatti, MD

Speaker

Real-World Data to Support Benefit-Risk Assessment: Regulatory Perspective
Douwe Postmus, PhD, MSc

External Comparators Using Real-World Data: Results of a Simulation Study
Gerd Rippin, DrSc

The Role and Impact of Real-World Data in Cancer Drug Applications
Catherine C. Lerro, PhD, MPH

Component Type: Forum
Level: Basic
CE: ACPE 1.00 Knowledge UAN: 0286-0000-24-608-L04-P; CME 1.00; RN 1.00

The impact of disease progression modeling (DPM) on medical product development has yet to be fully realized. This forum will describe DPM and its current applications in clinical trials and highlight the value of DPM to advance decision making and clinical development efficiency.

Learning Objectives

Describe disease progression modeling (DPM) and its current applications in clinical trials; Define the value of DPM to enhance decision making throughout the medical product development lifecycle; Discuss multi-stakeholder effort to advance clinical trial and medical product development efficiency through the increased recognition, value, and consistent use of DPM.

Chair

Summer Starling, DrPH, MPH

Speaker

Panelist
Herbert Pang, PhD, MBA

Panelist
Karthik Venkatakrishnan, PhD

Panelist
Jenny Chien, PhD

Component Type: Forum
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-24-611-L04-P; CME 1.00; RN 1.00

In this forum, speakers from regulatory, industry, and research organizations will discuss methodological considerations and evaluate various innovative use cases in different settings that integrate real-world data (RWD) in clinical designs.

Learning Objectives

Discuss global regulatory guidance, frameworks, and best practices for real-world data (RWD) in innovative hybrid study designs for regulatory purposes; Describe innovative approaches and statistical methods for integrating RWD and clinical trial data for clinical decision-making; Appraise use cases where RWD have been used in hybrid study designs to support clinical and regulatory development.

Chair

Rachele Hendricks-Sturrup, DrSc, MA, MSc

Speaker

Panelist
Mehmet Burcu, PhD, MS

Panelist
Christina Mack, PhD, MPH

Panelist
Catherine C. Lerro, PhD, MPH

Component Type: Workshop
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-24-658-L04-P; CME 1.00; RN 1.00

Recruiting pediatric patients is a challenge and one of the solutions is to carefully design the study in an hybrid way to borrow adult data for pediatric study using innovative statistical techniques. The workshop discusses the recruitment challenges involved and then attendees will play a role of providing their thoughts on pediatric recruitment challenges. The workshop explains how well a study can be designed in an innovative way with appropriately utilizing the statistical techniques with case study to overcome recruitment challenges.

Learning Objectives

Discuss how to borrow historical adult data for pediatric study where recruiting pediatric patients is a huge challenging task.

Chair

Rajesh Kumar Gajendran, SR, MSc

Component Type: Session
Level: Basic
CE: ACPE 1.00 Knowledge UAN: 0286-0000-24-660-L04-P; CME 1.00; RN 1.00

Unlocking AI's potential to facilitate diversity in clinical trials demands inclusive images capturing skin manifestations of internal diseases across races and ethnicities. Join our panel to learn more about inclusive innovation in AI solutions.

Learning Objectives

Discuss the importance of photographs and images in AI algorithms to identify internal diseases impacting patients of color and how that supports clinical trial enrollment; Identify the questions to ask of AI solution providers to ensure imagery is inclusive; Describe what’s being done to improve imagery in AI learning to drive clinical trial diversity.

Chair

Pamela Simpkins, MBA

Speaker

Patient Update
Tricha Shivas, MS

Industry Update
Lionel Phillips, MBA

Industry Update
Brian H Johnson

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-24-668-L04-P; CME 1.00; RN 1.00

This session discusses usage of a variety of artificial intelligence (AI) solutions (knowledge-based expert systems, generative AI, machine learning) across the clinical research lifecycle from drug discovery to patient recruitment, data quality management, and submission. We will go over specific problems that lend themselves to AI and how we go about building scalable solutions with emphasis on explainability, reliability, and validity.

Learning Objectives

Discuss the use of generative artificial intelligence (AI) and machine learning in clinical research and measures taken to insure validity and reliability; Describe the role of knowledge graph (KG) in building AI systems.

Chair

Katy Ghantous, PhD, MS

Speaker

Industry Update
John Overington

Industry Update
Joe Mullen, PhD, MS

Academic Update
Ramona Lynn Walls, PhD

Component Type: Session
Level: Basic
CE: ACPE 1.00 Knowledge UAN: 0286-0000-24-661-L04-P; CME 1.00; RN 1.00

Recruitment is a significant building block of clinical trials and also one of the greatest challenges, often having a direct influence on trial success or failure. In-efficiencies associated with patient recruitment may lead to prolonged trial durations, increased costs, and delays in bringing effective treatments to market. This session will explore methods for predicting the effect of different recruitment patterns on trial progression, outcomes and likelihood of the trial to meet its goals and present newly available technologies and trial design measures for successfully advancing recruitment.

Learning Objectives

Describe the considerations of recruitment rate optimization in clinical trials and adaptive trials in particular; Discuss the available technologies and methodologies for optimizing recruitment via dedicated software, patient advocacies, databases and registries and the evaluation of trade-offs between trial duration and sample size requirements within a variety of adaptive trial designs as compared with standard fixed designs.

Chair

Raviv Pryluk, PhD

Speaker

Time is Life: Leveraging Innovation in Clinical Trials for Rapid Recruitment
Tanya Russell, PhD, MS, RPh

Potential for Leveraging AI/ML in Pre-Trial Recruitment Modelling
Jenny Higley, MS

Demystifying Site Engagement: Leveraging an Omnichannel Approach with Data-Driven Clinical Analytics
Sanghita Bhattacharya, PhD

Optimizing Clinical Trial Site Selection: Balancing Recruitment Efficiency and Population Diversity
Raviv Pryluk, PhD

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-24-676-L04-P; CME 1.00; RN 1.00

This session will include a case study in a short-term depression trial with repeated measurements of continuous outcomes and two types of intercurrent events, and evaluate the four developed data-generating models. Can we jointly generate outcomes and intercurrent events that are associated for a generic phase 3 trial in simulation studies? What data-generating models can be used to achieve this?

Learning Objectives

Describe phase 3 randomized controlled trial data (clinical outcomes and intercurrent events) and model the association between efficacy outcomes and intercurrent events; Discuss how this research is needed to enable analytical or simulation studies that can investigate estimands and strategies on datasets generated under the same data-generating models; Identify how to implement the E9(R1) estimand framework.

Chair

Marian Mitroiu, PhD

Speaker

EMA Update
Francesco Pignatti, MD

FDA Update
Cesar Daniel Torres, PhD, MS

MEB Update
Laura Rodwell, PhD

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-24-683-L04-P; CME 1.00; RN 1.00

Safety analyses play a pivotal role in drug development, ensuring the protection of patients while advancing innovative pharmaceuticals to market. This statistical session will discuss the critical aspects of safety analysis including the shortcomings of the way we estimate safety signals today focusing on the incorporation of advanced statistical methodologies for signal detection and wider evaluation of specific events such as adverse events of special interest. Additionally, the session will delve into regulatory considerations and best practices for presenting safety analyses to regulatory agencies. Understanding the expectations and requirements of regulatory bodies is essential for successful drug development, and the session will provide valuable guidance in this regard.

Learning Objectives

Describe key aspects in planning safety analyses, and their pivotal role in ensuring the safety of pharmaceutical products; Discuss regulatory considerations and best practices for presenting safety analyses to regulatory agencies; Identify quantitative assessment and characterization of adverse events of special interest (AESIs) in the drug lifecycle; Discuss the shortcomings of the way we currently estimate safety outcomes and a call to action to change that.

Chair

George Kordzakhia, PhD

Speaker

Industry Update
Melvin Slaighter Munsaka, PhD, MEd, MS

Industry Update
Michael A. Fries, PhD, MA

FDA Update
Cesar Daniel Torres, PhD, MS