DIA 2026 Global Annual Meeting: Full Schedule

2:30pm EDT

#444: Driving Efficiency in Clinical Development with Master Protocols

Monday June 15, 2026 2:30pm - 3:30pm EDT

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Application UAN: 0286-0000-26-539-L04-P; CME 1.00; RN 1.00

Master protocols are innovative designs for simultaneous evaluation of multiple drug or population under one protocol, enhancing efficiency. Despite their potential, these protocols pose complex scientific, operational, and regulatory challenges.

Learning Objectives

Explain the different master protocols (basket, umbrella, platform) in various therapeutic areas; Identify key statistical, operational, and governance challenges; Describe regulatory perspectives and recent guidance; Discuss practical case studies illustrating successes, pitfalls, and innovations.

Chair

Satrajit Roychoudhury, PHD

Speaker

Pooling shared controls in platform trials: operational and statistical considerations
Megan McCabe, PHD

The Art of Borrowing: Practical Strategies to Power Master Protocols
Haitao Chu, MD, PHD

Learnings Across Master Protocols – A Design Perspective
Purvi Prajapti, PHD, MS

Speakers

Haitao Chu

Senior Director, Pfizer, United States

Dr. Haitao Chu is a Senior Director at Pfizer’s Statistical Research and Data Science Center, a role he has held since 2022. He earned his PhD in Biostatistics from Emory University. Dr. Chu has held several academic appointments, including Assistant Professor of Epidemiology at... Read More →

Megan McCabe

Assistant Professor, Department of Biostatistics, The University of Alabama at Birmingham, United States

Megan McCabe is an Assistant Professor in the Department of Biostatistics at the University of Alabama at Birmingham (UAB), and the Assistant Director for Clinical Trials Development for the UAB DATA coordinating and Collaborative Research Unit (DATA CRU). She graduated with her PhD... Read More →

Purvi Prajapati

Sr. Advisor, Eli Lilly, United States

Purvi earned her PhD in Statistics from Baylor University prior to joining Lilly in 2020. Since joining she’s been a member of the Clinical Design Team where she collaborates with multiple study teams to design clinical trials across all phases of drug development across the immunology... Read More →

Satrajit Roychoudhury

Executive Director, Statistical Research and Innovation, Pfizer, United States

Dr. Satrajit Roychoudhury is an Executive Director and the head of Statistical Research and Innovation group in Pfizer Inc. Prior to joining, he was a member of Statistical Methodology and Consulting group at Novartis. His primary expertise includes implementation of innovative statistical... Read More →

Monday June 15, 2026 2:30pm - 3:30pm EDT
116 The Pennsylvania Convention Center 1101 Arch Street Philadelphia, PA 19107 USA

10: Stats-EvidenceGeneration-RWE, Session

Audience Intermediate
Area Evidence Innovation
Level Intermediate
format csv
Credit Type ACPE, CME, RN
Feature Topics Evidence Innovation
Interest Area Biostatistics
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4:00pm EDT

#451: Race/Ethnicity, Ancestry, and Clinical Phenotype Real-World Data to Precisely Anticipate Treatment Effectiveness and Patient Outcomes

Monday June 15, 2026 4:00pm - 5:00pm EDT

116

Component Type: Session
Level: Advanced
CE: ACPE 1.00 Knowledge UAN: 0286-0000-26-546-L04-P; CME 1.00; RN 1.00

Real-world data that encompass race, ethnicity, or ancestry and clinical phenotypes are growing increasingly sophisticated in utility. This panel will discuss why precision medicine is ripe for new and ongoing exploration in regulatory contexts.

Learning Objectives

Describe precision medicine approaches involving clinical phenotype RWD in context with race, ethnicity, ancestry data, that can be instrumental to address unmet patient and health system needs; Discuss how regulators have reacted to precision medicine-based research approaches in context with race, ethnicity, ancestry information, inclusive of research design modifications made along the way.

Chair

Rachele Hendricks-Sturrup, MA

Speaker

Panelist
Carla Rodriguez-Watson, MPH

TBD
Lysel Brignoli, MS

Speakers

Lysel Brignoli

Associate Principal, RWE, Oracle Life Sciences, France

Lysel Brignoli is an expert in Real-World Evidence and epidemiologic research, with over a decade of experience designing and leading studies that generate insights for healthcare decision-making. Her work focuses on innovative study designs, patient registries, and the integration... Read More →

Rachele Hendricks-Sturrup

Research Director, Real-World Evidence, Duke-Margolis Institute For Health Policy (DMI), United States

Dr. Rachele Hendricks-Sturrup is the Research Director of Real-World Evidence (RWE) at the Duke-Margolis Institute for Health Policy in Washington, DC, strategically leading and managing the Institute's RWE Collaborative and RWE policy research portfolio and education. As an engagement... Read More →

Carla Rodriguez-Watson

Director of Research, Reagan-Udall Foundation for the FDA, United States

Dr. Rodriguez-Watson is focused on continuously developing and enhancing a portfolio of work that leverages real-world data and experiences to inform and conduct clinical and post-market drug safety and effectiveness studies to improve population health. Key projects bring together... Read More →

Monday June 15, 2026 4:00pm - 5:00pm EDT
116 The Pennsylvania Convention Center 1101 Arch Street Philadelphia, PA 19107 USA

05: PersonalizedMed-ComboProd-Diagnostics, Session | 03: Data-Tech-AI, Session | 10: Stats-EvidenceGeneration-RWE, Session

Audience Advanced
Level Advanced
format csv
Credit Type ACPE, CME, RN
Interest Area Biostatistics
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4:00pm EDT

#459: Bias and Methodological Challenges in External Control Arms Addressing Time-Related Bias, Endpoint Alignment, Unmeasured Confounding

Monday June 15, 2026 4:00pm - 5:00pm EDT

107AB

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-26-554-L04-P; CME 1.00; RN 1.00

This session highlights methodological challenges in External Control Arms (ECAs) using Real-World Data (RWD). Speakers will address time-related biases, endpoint alignment challenges between RWD and trial standards, and methodological strategies to address unmeasured confounding.

Learning Objectives

Discuss exposure and time-related issues in ECA construction, including defining time-zero and avoiding immortal time bias; Describe endpoint alignment challenges between RWD and trial standards, and outline methods to address measurement error and bias. Evaluate approaches for handling missing data and unmeasured confounding, and explain new insights on defining index dates in EC studies.

Chair

Ju-Young Shin, PHD

Speaker

Choosing an Index Date for Untreated Patients in External Comparator Studies
Ju Hwan Kim, PHARMD, PHD

Quantifying and mitigating measurement bias in real-world endpoints when constructing external control arms
Benjamin Ackerman, PHD

Choosing an Index Date for Untreated Patients in External Comparator Studies
Gerd Rippin, PHD

Speakers

Benjamin Ackerman

Principal Scientist, Biostatistics, Johnson & Johnson, United States

Ben Ackerman is a Principal Scientist at Johnson & Johnson Innovative Medicine, where he provides support across therapeutic areas to design and analyze randomized trials, namely those that combine trial data with real-world data. He has expertise in causal inference methods to address... Read More →

Benjamin Ackerman

Director, Real-world Biostatistics, GSK, United States

Ben Ackerman is a Director of Real-world Biostatistics at GSK, where he designs and analyzes real-world evidence studies in oncology. He has expertise in causal inference methods to address various biases in both randomized trials and non-experimental studies. Previously, he led a... Read More →

Ju Hwan Kim

Research Professor, Sungkyunkwan University, Korea, Republic of

Ju Hwan (Joe) Kim, PharmD, PhD, is a Research Professor at the School of Pharmacy, Sungkyunkwan University, South Korea. His work spans pharmacoepidemiology, clinical pharmacy, regulatory science, and real-world data/evidence. He leads international collaborative studies leveraging... Read More →

Gerd Rippin

Senior Director, Biostatistics, Real-World Solutions, IQVIA, Germany

Dr. Gerd Rippin is a trained statistician, receiving his statistics degree in 1995 from the University of Dortmund, Germany (equivalent to BSc and MSc), and his Dr. of Sciences (equivalent to PhD) in 1999 from the University of Mainz, Germany. Dr. Rippin has worked as a medical statistician... Read More →

Ju-Young Shin

Professor, School of Pharmacy, Sungkyunkwan University, Korea, Republic of

Dr. Ju-Young Shin is current chair professor of department of biohealth regulatory science at school of pharmacy, SungKyunKwan University (SKKU). She also serves as an associate editor of SCIE journal including ‘Pharmacoepidemiolgoy and Drug Safety’, and ‘Epidemiology and Health... Read More →

Monday June 15, 2026 4:00pm - 5:00pm EDT
107AB The Pennsylvania Convention Center 1101 Arch Street Philadelphia, PA 19107 USA

10: Stats-EvidenceGeneration-RWE, Session

Audience Intermediate
Area Evidence Innovation
Level Intermediate
format csv
Credit Type ACPE, CME, RN
Feature Topics Evidence Innovation
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10:15am EDT

#509: Integrating Artificial Intelligence and Real-World Evidence: FDA's Framework for Advancing Medical Product Development

Tuesday June 16, 2026 10:15am - 11:30am EDT

109AB

Component Type: Session
Level: Intermediate
CE: ACPE 1.25 Knowledge UAN: 0286-0000-26-559-L04-P; CME 1.25; RN 1.25

This session will provide FDA perspective on opportunities for AI and RWE to enhance drug and biologic development and improve patient outcomes. FDA presenters will discuss key RWE and AI program updates, including new Agency level initiatives.

Learning Objectives

Describe FDA's current AI and RWE regulatory frameworks and key guidance documents and how these align with FDA’s mission; Identify the promise and the limitations of AI in the context of drug and biologics development and identify opportunities for integrating AI and RWE approaches; Apply FDA recommendations for use of AI/RWE in regulatory submissions.

Chair

Marie Bradley, MPH

Speaker

Panelist
Hussein Ezzeldin, PHD

Speakers

Marie Bradley

Senior Advisor, Real-World Evidence , Office of Medical Policy, CDER, FDA, United States

Dr. Marie Bradley is a Senior Advisor for RWE in the Office of Medical Policy, Center for Drug Evaluation and Research (CDER). Her responsibilities related to real-world evidence (RWE) include serving as lead for the Advancing Real-World Evidence Program, the Real-World Evidence Subcommittee... Read More →

Hussein Ezzeldin

Associate Director for Advanced Technologies, OBPV, OMP, CBER, FDA, United States

Dr. Ezzeldin is the Associate Director for Advanced Technologies in the Office of Biostatistics and Pharmacovigilance (OBPV), in the Center for Biologics Evaluation and Research (CBER). Dr. Ezzeldin supported multiple programs in previous roles, for example, leading the digital health... Read More →

Tuesday June 16, 2026 10:15am - 11:30am EDT
109AB The Pennsylvania Convention Center 1101 Arch Street Philadelphia, PA 19107 USA

03: Data-Tech-AI, Session | 10: Stats-EvidenceGeneration-RWE, Session | 08: RegPolicy-Strategy-GlobalCollaboration, Session

Audience Intermediate
Area Evidence Innovation, Artificial Intelligence
Level Intermediate
format csv
Credit Type ACPE, CME, RN
Feature Topics Evidence Innovation,Artificial Intelligence
Interest Area Health Technology & AI,Regulatory
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4:15pm EDT

#551: Operationalizing Large Language Models in Drug Development

Tuesday June 16, 2026 4:15pm - 5:15pm EDT

111AB

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-26-585-L04-P; CME 1.00; RN 1.00

Generative AI and large language models (LLMs) are reshaping drug development and Real-World Evidence (RWE). This session explores real-world applications, debunks common myths, and outlines what’s needed for safe, scalable, and compliant use across the drug development lifecycle.

Learning Objectives

Distinguish between the current capabilities and limitations of generative AI and large language models (LLMs) in drug development; Identify practical and regulatory challenges in adopting GenAI across evidence generation workflows; Discuss future opportunities for integrating GenAI into the various areas of the drug development pipeline; Identify/mitigate bias in regulated workflows

Chair

Wesley Anderson, PHD

Speaker

GenAI for literature-based evidence synthesis: From systematic literature review to digitization of trial publications
Emily Nieves

Panelist
Danielle Boyce, MPH

Speakers

Wesley Anderson

Scientist, Quantitative Medicine, Critical Path Institute, United States

Wes Anderson, Ph.D. is a Quantitative Medicine Scientist at the Critical Path Institute, where he develops data-driven solutions to support drug development using machine learning, artificial intelligence, natural language processing, and informatics. He has also contributed to the... Read More →

Danielle Boyce

Principal Investigator and Data Consultant, ALS Therapy Development Institute, United States

Danielle Boyce

Principal Investigator and Data Consultant, ALS Therapy Development Institute, United States

Dr. Danielle Boyce is Principal Investigator of Real World Evidence at the ALS Therapy Development Institute and a faculty member at Johns Hopkins University, with affiliations at the University of Calgary, University of Chicago, and Emory University. A mother of a child with rare... Read More →

Emily Nieves

CEO/ Co-Founder, Delineate, United States

Emily Nieves is the co-founder and CEO of Delineate, a seed-stage startup partnering with pharmaceutical companies to accelerate Model-Informed Drug Development workflows through advanced AI techniques. Prior to founding Delineate, Emily pursued graduate studies in Biological Engineering... Read More →

Tuesday June 16, 2026 4:15pm - 5:15pm EDT
111AB The Pennsylvania Convention Center 1101 Arch Street Philadelphia, PA 19107 USA

03: Data-Tech-AI, Session | 10: Stats-EvidenceGeneration-RWE, Session

Audience Intermediate
Area Artificial Intelligence, Evidence Innovation
Level Intermediate
format csv
Credit Type ACPE, CME, RN
Feature Topics Artificial Intelligence,Evidence Innovation
Interest Area Biostatistics,Health Technology & AI
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4:15pm EDT

#558: Advancing Pediatric Drug Development in Asia through Real-World Evidence and Regulatory Innovation

Tuesday June 16, 2026 4:15pm - 5:15pm EDT

115C

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Application UAN: 0286-0000-26-593-L04-P; CME 1.00; RN 1.00

This session will showcase how Real-World Evidence (RWE) supports pediatric drug development in Asian countries, share US and EU perspectives, and highlight innovations in regulatory strategies, policies, and methodologies to enhance regulatory-grade pediatric RWE.

Learning Objectives

Demonstrate emerging trends in the use of RWE in regulatory decision-making in Asia, with real examples of leveraging RWE to accelerate pediatric drug development, highlighting innovative approaches and successful outcomes; Discuss challenges and strategies for high-quality pediatric RWE and explore regulatory frameworks for RWE evaluation through innovative cross-organizational collaborations.

Chair

Yongjing Zhang, PHD

Speaker

Panelist
Reiko Nakashima

Panelist
Shaoqing Ni, PHD

Panelist
Ju-Young Shin, PHD

Speakers

Reiko Nakashima

Office of New Drug III, Pharmaceuticals and Medical Devices Agency (PMDA), Japan

Ms. Reiko Nakashima is a Deputy Review Director in the Office of New Drug III at the Pharmaceuticals and Medical Devices Agency (PMDA), where she is responsible for the review of new drugs for central nervous system (CNS) disorders.

Shaoqing Ni

Attending Pharmacist , Director, Children's Hospital Zhejiang University School of Medicine, China

30+ years in pediatric pharmacy & clinical research. PhD, Chief Pharmacist, Doctoral Supervisor. Director of Clinical Trial Office, Children's Hospital, Zhejiang University; Head of Secretariat, China Pediatric Clinical Trial Network; Course Director, Zhejiang University graduate... Read More →

Ju-Young Shin

Professor, School of Pharmacy, Sungkyunkwan University, Korea, Republic of

Yongjing Zhang

Senior Director, Global Epidemiology, Johnson & Johnson, China

Dr. Zhang has been working on Real-World research in the pharmaceutical and medical device industry for over 18 years. He is dedicated to promoting global universal standards for electronic health databases in the Asia-Pacific region, practicing emerging theories and methods in epidemiological... Read More →

Tuesday June 16, 2026 4:15pm - 5:15pm EDT
115C The Pennsylvania Convention Center 1101 Arch Street Philadelphia, PA 19107 USA

08: RegPolicy-Strategy-GlobalCollaboration, Session | 10: Stats-EvidenceGeneration-RWE, Session

Audience Intermediate
Area Evidence Innovation
Level Intermediate
format csv
Credit Type ACPE, CME, RN
Feature Topics Evidence Innovation
Interest Area Data Management & Data Standards
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4:15pm EDT

#562: Leveraging Real-World Evidence and External Controls in Clinical Trials of Rare Outcomes/Diseases: Statistical Innovation and Novel Applications

Tuesday June 16, 2026 4:15pm - 5:15pm EDT

116

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Application UAN: 0286-0000-26-596-L04-P; CME 1.00; RN 1.00

Learn how the Real-World Evidence (RWE) can be utilized in studies of rare outcomes and diseases. Speakers from industry, academia, and regulators share insights on external controls, causal inference, and evidence synthesis to inform regulatory submissions.

Learning Objectives

Identify when to use hybrid design and or external controls for rare outcomes and diseases using RWE sources; Design RWE-based studies and address confounding, missing data, and intercurrent events; Evaluate robustness of study results with sensitivity analyses.

Chair

Huan Wang, PHD

Speaker

Assessing the Validity of External Versus Randomized Controls in Pancreatic Cancer and Other Diseases
Ruthie Davi, PHD, MS

Real World Evidence for Post-Marketing Drug Safety Outcomes: FDA’s Sentinel System
Jennifer Lyons, PHD, MPH

Single Arm, External-Controlled Studies – Pitfalls and Pathways
Van Tran, PHD

Speakers

Ruthie Davi

Senior Vice President, Medidata, a Dassault Systèmes Company, United States

Ruthie Davi is Senior Vice President, Statistics and Regulatory Science Innovation at Medidata, and has a background in pharmaceutical clinical trials with more than 20 years working at the FDA, most recently as a Deputy Division Director in the Office of Biostatistics in CDER. At... Read More →

Jennifer Lyons

Research Scientist, Harvard Pilgrim Health Care Institute, United States

Jennifer Lyons is a Research Scientist in the Therapeutics and Infectious Disease Epidemiology group at the Department of Population Medicine at Harvard Medical School and Harvard Pilgrim Health Care Institute. She works on the FDA-sponsored Sentinel Initiative for drug safety surveillance... Read More →

Van Tran

Mathematical Statistician, OTS, CDER, FDA, United States

Van Tran, PhD, is a Senior Mathematical Statistician at the U.S. Food and Drug Administration, where she provides statistical review of clinical trials and real-world evidence to support regulatory decisions on drug safety and efficacy. Her interests include evaluation of rare and... Read More →

Huan Wang

Mathematical Statistician, CDER, FDA, United States

Dr. Huan Wang joined the FDA in 2021, where he focuses on statistical reviews for drug approval applications in non-malignant hematologic diseases. Prior to this role, he earned his Ph.D. in Biostatistics from the George Washington University, where he conducted research on developing... Read More →

Tuesday June 16, 2026 4:15pm - 5:15pm EDT
116 The Pennsylvania Convention Center 1101 Arch Street Philadelphia, PA 19107 USA

10: Stats-EvidenceGeneration-RWE, Session

Audience Intermediate
Area Evidence Innovation
Level Intermediate
format csv
Credit Type ACPE, CME, RN
Feature Topics Evidence Innovation
Interest Area Biostatistics
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10:15am EDT

#603: From Guidance to Practice: Regulatory and Stakeholder Views on Evaluating Risk Minimization Measures

Wednesday June 17, 2026 10:15am - 11:30am EDT

118AB

Component Type: Session
Level: Intermediate
CE: ACPE 1.25 Knowledge UAN: 0286-0000-26-597-L04-P; CME 1.25; RN 1.25

Risk Minimization Measures (RMMs) target multiple healthcare stakeholders, and effectiveness varies by context. This session highlights guidance on their mixed-method evaluations, empirical examples, methodological advances, and insights from SmPC content analysis.

Learning Objectives

Discuss the US and EU regulatory rationale and expectations for RMM evaluations; Explain empirical examples where mixed-method evaluations altered interpretation of effectiveness compared with quantitative results alone; Discuss emerging methodological advances and data sources for meaningful patient safety outcomes.

Chair

Daniele Sartori, MSC

Speaker

Panelist
Gita Toyserkani, PHARMD, MBA

Panelist
Elaine Lippmann, JD

Panelist
Helga Gardarsdottir, FISPE

Panelist
Priya Bahri, PHD

Speakers

Priya Bahri

Senior Lead (Pharmacovigilance and Risk Management Guidance and Policy), European Medicines Agency, Netherlands

Priya Bahri, RPh, PostGradDipEpi, PhD, FISoP, at EMA since 1996, is now EMA's Lead Pharmacovigilance and Risk Management Guidance and Policy. In this role, she oversees the developement of the EU Good Pharmacovigilance Practices (EU-GVP) and also instigates frameworks, research and... Read More →

Helga Gardarsdottir

Professor RWD for decision making on medicines, Utrecht University, Netherlands

Helga Gardarsdottir is professor in use of RWD for decision making on medicines at Utrecht University (NL). Since January 2025, she has also been serving as a Seconded National Expert in the Data Analytics and Methods Taskforce (RWE Workstream) at the European Medicines Agency. Her... Read More →

Elaine Lippmann

Principal, Leavitt Partners, United States

Elaine Lippmann, J.D., is a Principal at Leavitt Partners based on Washington, D.C., bringing more than 15 years of leadership experience at the U.S. Food and Drug Administration (FDA) and deep expertise in pharmaceutical regulatory policy to her client work. Elaine most recently... Read More →

Daniele Sartori

Senior Pharmacovigilance Scientist, Uppsala Monitoring Centre (UMC), Sweden

Daniele is a senior pharmacovigilance scientist at Uppsala Monitoring Centre and a candidate for a DPhil in Evidence-Based Health Care at the University of Oxford. He has over 10 years of experience in pharmacovigilance, focusing on signal detection, regulatory decision-making, and... Read More →

Gita Toyserkani

Regulatory Strategy Lead, Perspective Pharmacovigilance, United States

Dr. Gita Toyserkani, PharmD, MBA, is Regulatory Strategy Lead at Perspective Pharmacovigilance, where she advises life sciences companies on regulatory strategy across drug safety, risk management, and benefit–risk assessment. She brings more than 20 years of experience at the U.S... Read More →

Wednesday June 17, 2026 10:15am - 11:30am EDT
118AB The Pennsylvania Convention Center 1101 Arch Street Philadelphia, PA 19107 USA

01: ClinSafety-PV-RM, Session | 10: Stats-EvidenceGeneration-RWE, Session

Audience Intermediate
Level Intermediate
format csv
Credit Type ACPE, CME, RN
Interest Area Clinical Safety & Pharmacovigilance,Biostatistics
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10:15am EDT

#606: Enhancing Clinical Trial Oversight: Using Statistical Outlier Detection with Generative AI for Protocol Deviation Analysis

Wednesday June 17, 2026 10:15am - 11:30am EDT

107AB

Component Type: Session
Level: Intermediate
CE: ACPE 1.25 Knowledge UAN: 0286-0000-26-601-L04-P; CME 1.25; RN 1.25

In this session, we demonstrate an integrated approach that uses bootstrap-based statistical outlier detection and generative AI to identify and characterize clinical investigator sites that underreport or overreport protocol deviations.

Learning Objectives

Describe the core principles of Gen AI and explain their relevance to clinical operations; Identify practical considerations for implementing AI for clinical trial oversight; Illustrate how combing a statistical bootstrap-based method with Gen AI can identify clinical investigator sites that significantly underreport or overreport clinical protocol deviations.

Chair

Ioannis Spyroglou, PHD

Speaker

Panelist
Roshan D'Souza

Bootstrapping and Simaerep: Statistical Outlier Detection in Protocol Deviation Reporting
Frederik Collin, MS

Operational Impact, Scaling, and Limitations: From Algorithm to Practice
Karin Jonczak

Speakers

Frederik Collin

Senior Data Scientist, Boehringer Ingelheim, Germany

Frederik is a Data Scientist working at Boehringer Ingelheim developing advanced analytics solutions leveraging data in the GCP space. He has co-developed several statistical open-source tools and published scientific articles on quality statistics.

Roshan D'Souza

Head of Quality Excellence Digital, PDQ, Roche, United Kingdom

Roshan is currently the head of Quality Excellence Digital at Roche's Product Development Quality organisation. The utilisation of data analytics and digital technologies to unlock meaningful business outcomes has been a common thread since he started his career at Roche. An engineer... Read More →

Karin Jonczak

Clinical Capabilities Lead, Director, Bristol Myers Squibb, United States

Ioannis Spyroglou

Associate Director, Data Science, MSD, United States

Ioannis Spyroglou, Ph.D., is Associate Director, Data Science in QA Analytics and Digital Innovation at Merck, and is based in Prague, Czech Republic. He co-leads Generative AI initiatives and develops solutions for quality assurance across different quality functions. Previously... Read More →

Wednesday June 17, 2026 10:15am - 11:30am EDT
107AB The Pennsylvania Convention Center 1101 Arch Street Philadelphia, PA 19107 USA

03: Data-Tech-AI, Session | 10: Stats-EvidenceGeneration-RWE, Session

Audience Intermediate
Area Artificial Intelligence, Digital Enablement and Modernization
Level Intermediate
format csv
Credit Type ACPE, CME, RN
Feature Topics Artificial Intelligence,Digital Enablement and Modernization
Interest Area Biostatistics,Health Technology & AI
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1:45pm EDT

#638: Real World Evidence Throughout the Product Life Cycle: Case Studies and Real-Life Examples

Wednesday June 17, 2026 1:45pm - 2:45pm EDT

116

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-26-628-L04-P; CME 1.00; RN 1.00

Use of Real-World Evidence (RWE) in regulatory assessments has increased in recent years with use cases spanning across the development, initial authorisation and post-marketing monitoring of medicines. Examples across lifecycle and therapeutic areas will be discussed.

Learning Objectives

Discuss the use of RWE to support regulatory decisions; Identify use cases based on regulatory assessment, stage of lifecycle and therapeutic area; Examine real-world examples of RWE use to identify effective practices and apply insights to future evidence-generation strategies.

Chair

Denise Umuhire, MBA, MSC

Speaker

Panelist
Patricia Furlong, BSN

Panelist
Rohini Hernandez, PHD, MPH

Panelist
Motiur Rahman, PHD, MPHARM, MS

Speakers

Patricia Furlong

Founding President and Chief Executive Officer, Parent Project Muscular Dystrophy, United States

Pat Furlong is the Founding President and CEO of Parent Project Muscular Dystrophy (PPMD), the largest nonprofit organization in the United States solely focused on Duchenne muscular dystrophy (Duchenne). Their mission is to end Duchenne. They accelerate research, raise their voices... Read More →

Rohini Hernandez

Director, Center for Observational Research, Amgen, United States

Rohini Hernandez, PhD, MPH, is a Director of Observational Research in the Center for Observational Research at Amgen. She leads a Pharmacovigilance Epidemiology team focused on leveraging real world data to support benefit/risk assessments globally and across therapeutic areas. Prior... Read More →

Motiur Rahman

Senior Epidemiologist & Policy Advisor, Real World Evidence Analytics, OMP, CDER, FDA, United States

Dr. Motiur Rahman is a Senior Epidemiologist and Policy Advisor in Real-World Evidence (RWE) Analytics within the Office of Medical Policy at CDER, FDA. He leads the consult service for reviewing RWD study submissions, leads international regulatory collaborations including ICH initiatives... Read More →

Denise Umuhire

Pharmacoepidemiologist and Real-World Evidence Specialist, European Medicines Agency, Netherlands

I am a pharmacoepidemiologist & RWE specialist within the Data Analytics and Method Taskforce at the Europea Medicine Agency (EMA). I am part of the RWE workstream that provides support on RWE related matters to different evaluation committees, delivering rapid analyses of RWD to... Read More →

Wednesday June 17, 2026 1:45pm - 2:45pm EDT
116 The Pennsylvania Convention Center 1101 Arch Street Philadelphia, PA 19107 USA

10: Stats-EvidenceGeneration-RWE, Session

Audience Intermediate
Area Evidence Innovation
Level Intermediate
format csv
Credit Type ACPE, CME, RN
Feature Topics Evidence Innovation
Interest Area Biostatistics
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4:00pm EDT

#659: Real World Evidence in Regulatory Decision-Making: Challenges, Innovations, and Impact

Wednesday June 17, 2026 4:00pm - 5:00pm EDT

203AB

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-26-642-L04-P; CME 1.00; RN 1.00

This session highlights innovative Real World Data (RWD) methods, including AI, for enhancing Real World Evidence (RWE) for regulatory decisions. Through case studies and discussion, it will examine practical integration strategies for these innovations.

Learning Objectives

Define the key challenges and limitations in the use of real-world evidence (RWE) for regulatory decision-making; Illustrate how innovative methodologies can be integrated into study design and analysis to enhance the robustness and credibility of RWE; Describe practical insights, informed by multi-stakeholder perspectives, for developing a framework of regulatory acceptability of RWE.

Chair

Alison Cave

Speaker

Advancing Real-World Evidence for Regulatory Decision-Making: Academic perspective
Olaf Klungel, FISPE

Advancing Real-World Evidence for Regulatory Decision-Making: industry perspective
Gracy G Crane, MS

Advancing Real-World Evidence for Regulatory Decision-Making: FDA perspective
Motiur Rahman, PHD, MPHARM, MS

Speakers

Alison Cave

Chief Safety Officer, Medicines and Healthcare Products Regulatory Agency (MHRA), United Kingdom

Dr Alison Cave is Chief Safety Officer at the Medicines and Healthcare products Regulatory Agency (MHRA), with responsibility for the safety of medicines and medical devices in the UK. She holds a BSc (Hons) and PhD from the University of London and has extensive academic and regulatory... Read More →

Gracy Crane

Policy Lead, Roche, United Kingdom

Gracy holds a Ph.D. in Molecular Oncology from King’s College Hospital, an M.Sc. in Biomedical Research from King’s College. She did her postdoctoral training at Oxford (UK) and at MIT (USA). Gracy brings broad experience in clinical research, medical affairs and health outcomes... Read More →

Olaf Klungel

Professor of Pharmacoepidemiologic Methods, Utrecht University, Netherlands

Olaf Klungel is Professor of Pharmacoepidemiologic Methods, chair of the division of Pharmacoepidemiology & Clinical Pharmacology and the scientific director of the Utrecht Institute for Pharmaceutical Sciences (UIPS) at Utrecht University. He is also member of the Methodology working... Read More →