DIA 2025 Global Annual Meeting

Component Type: Tutorial
CE: ACPE 2.75 Knowledge UAN: 0286-0000-25-505-L04-P; CME 2.75; IACET 2.75; RN 2.75

Pre-registration required and is an additional fee. *Please note: Short Courses are stand-alone events. Registration for the main conference, forum, etc. are not mandatory. Already registered? Log in to DIA's My Account My Events. This Short Course will be offered virtually – Join from anywhere! This short course will provide an overview of major regulations and regulatory frameworks of major world health authorities around the use of Artificial intelligence (AI)/GenAI in the life sciences industry. It will cover the ethical, legal, and practical aspects of AI implementation, focusing on compliance with current and emerging regulations. It will introduce concepts of the AI Risk Management Framework (RMF) by National Institute of Standards and Technology and explore how they can be extended to AI governance within the life sciences industry. It will provide some ideas on how to implement AI governance processes for the implementation of projects and ongoing maintenance. Receive $50 off your Global Annual Meeting total purchase by registering for two or more Short Courses. Purchases must be made at the same time to receive the discount. Discounts will be reflected on the last page of the cart. Registered attendees for this virtual Short Course will receive access to the course recording for 2 full months post-course! This allows you to remain flexible with your schedule and not worry if you need to step out momentarily. Have a conflict with the dates of the course, but are interested in the content? Register anyway and you will receive access to the recording!

Who should attend?

Professionals involved in the drug development and commercialization space (business as well as IT) who are interested in understanding the fast-growing discipline of AI regulations and governance frameworks, especially when AI/GenAI tools are being increasingly evaluated, prototyped and implemented in the life sciences industry.

Learning Objectives

• Discuss key regulations and regulatory frameworks around the use of AI in the life sciences industry
• Describe the business impact and compliance requirements for AI applications in drug development and commercialization
• Identify strategies to establish AI governance and compliance processes in the implementation of capabilities and ongoing maintenance

Component Type: Forum
Level: Advanced
CE: ACPE 1.00 Knowledge UAN: 0286-0000-25-524-L04-P; CME 1.00; RN 1.00

This session will delve into the historical and ethical context for distinguishing between clinical care and research and how the blurring poses a risk for engagement with patients. Experts in ethics and health literacy will discuss potential pitfall

Learning Objectives

Recognize the ethical and historical context for distinguishing between clinical care and research; Describe the regulatory and ethical challenges that are exposed when sponsors and investigators push patients to clinical research; Discuss how language and health literacy have the potential to impact an individual’s decision to participate in research.

Chair

Karla Childers, MS

Speaker

Bioethics Perspective
Lindsay McNair, MD, MPH, MS

Patient and Health Literacy Perspective
Catina O'Leary, PhD

IRB perspective
David Borasky, MPH

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-25-541-L04-P; CME 1.00; RN 1.00

Precision medicine integrates advanced technology and healthcare to tailor treatments to individuals, aiming to enhance outcomes. However, the rise of artificial intelligence (AI) and advanced technologies in this field introduces new ethical complexities. Privacy, informed consent, and social justice remain central concerns, but evolving technologies brings additional challenges, such as biases in algorithmic predictions and the transparency of decision-making processes. AI-driven models used to predict treatment outcomes or develop personalized care plans can reflect societal biases if trained on unrepresentative or flawed data. This raises concerns about fairness, as patients could be unjustly stratified based on genetic, racial, or socioeconomic factors. Precision medicine, which stratifies patients by genetic profiles, risks perpetuating discrimination or exacerbating health disparities.

Learning Objectives

Discuss the bioethical impact within the next generation of medicine; Recognize the importance of the inclusion of diverse, representative populations and handling of incidental findings.; Discuss how pharmaceutical company possesses its own data that can be explored, which is specific to their organization and reflective of their trial designs; Describe methods that have potential to enhance patient safety in RCTs by leveraging these unique datasets.

Chair

James Wabby, MHS

Speaker

Panelist
Robert Danny Huntington, Esq, JD

Panelist
Scott Schell, MD, PhD, MBA, MPH

Panelist
Ann Marie Hake, MD

Panelist
Chris Schneiderman, MPH

Component Type: Session
Level: Advanced
CE: ACPE 1.00 Knowledge UAN: 0286-0000-25-550-L04-P; CME 1.00; RN 1.00

We will discuss potential applications of AI in making diagnoses and treatment decisions, the appropriate ethical and regulatory boundaries, and how to progress forward balancing patient benefits against the potential risks.

Learning Objectives

Recognize the potential impact, ethical considerations, and evolving regulations related to the use of artificial intelligence in making diagnoses and treatment decisions; Discuss ways to formulate plans to bring artificial intelligence solutions to market and shape regulations.

Chair

Eli Weinberg, PhD, MS

Speaker

Panelist
Isaac Kohane, MD, PhD

Panelist
Shweta Maniar

Panelist
Subha Madhavan, PhD, FACMI

Component Type: Forum
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-25-568-L04-P; CME 1.00; RN 1.00

In a rapidly evolving clinical trial landscape, breaking down financial barriers is essential to foster participant enrollment, improve retention, and ensure the success of trials.

Learning Objectives

Identify key findings from DIA’s Participant Compensation Landscape Analysis and discuss their implications to promote diversity and support clinical trial outcomes; Recognize participant-centric strategies to address financial barriers in clinical research, enhancing diversity in trial participation; Discuss collaborative approaches to further understand participant compensation practices.

Chair

Carie Pierce, MS

Speaker

Moderator
Donna Libretti Cooke, JD

Panelist
James Lovett, JD

Contributor-Industry
Karen Correa, PhD

Contributor-Academia
Kenneth Getz, MBA

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-25-579-L04-P; CME 1.00; RN 1.00

This session will review the 2024 revision of the Declaration of Helsinki, one of the foundational codes of clinical research ethics, and the rationale and practical implications of the changes made in the current version.

Learning Objectives

Discuss the history of the Declaration of Helsinki and its relevance and importance for the healthcare industry; Recognize the changes made in the 2024 version and how they will impact the conduct of biopharma clinical trials; Discuss multi-stakeholder efforts that are working towards operationalizing ethical principles in the DOH and where more collaboration and alignment is needed.

Chair

Melissa Heidelberg, MS

Speaker

Speaker
Karla Childers, MS

Speaker
Ann Meeker-O'Connell, MS

Component Type: Forum
Level: Advanced
CE: ACPE 1.00 Knowledge UAN: 0286-0000-25-595-L04-P; CME 1.00; RN 1.00

We present trends and insights from an analysis of participant payment language of more than 7,500 consent forms reviewed by a large, independent IRB and discuss the ethical implications of insufficient compensation for trial participants.

Learning Objectives

Explain trends and insights in clinical trial participant payments based on 7500 clinical trial ICFs collected and analyzed between 2019 and 2024; Examine the language used to describe payments and how that impacts participants; Discuss ethical issues and assumptions about IRB approval of participant compensation for research.

Chair

Kelly Fitzgerald, PhD

Speaker

Panelist
Kelly Fitzgerald, PhD

Panelist
Donna Libretti Cooke, JD

Component Type: Forum
Level: Advanced
CE: ACPE 1.00 Knowledge UAN: 0286-0000-25-622-L04-P; CME 1.00; RN 1.00

The session will describe informed consent in research participants with cognitive decline, discussing behavioral cues and consent/assent requirements for ethical practices when participants lose the ability to provide informed consent during a study

Learning Objectives

Recognize the ethical and operational challenges of engaging participants with cognitive impairment; Describe ethical options for retaining participants with cognitive impairment in clinical trials; Review best practices for informed consent/ caregiver consent/participant assent when the ability to give consent is lost during the course of a trial

Chair

Karla Childers, MS

Speaker

Sharing Clinical/Investigator Perspective
Thos Cochrane, MD, MBA

Sharing an IRB Perspective
Linda Reuter, MS

Component Type: Session
Level: Intermediate
CE: ACPE 1.00 Knowledge UAN: 0286-0000-25-637-L04-P; CME 1.00; RN 1.00

This session will review the 3Rs (replacement, refinement, reduction) of animal use in non-clinical drug development research, and how new technologies including AI, Victorian Clinical Genetics Services (VCGs) and organoids are introducing innovative ways to meet these ethical principles.

Learning Objectives

Discuss the “3Rs” (replacement, refinement, reduction) of ethical animal use in non-clinical drug development research; Recognize how new technologies including AI, VCGs and organoids are being explored to follow these ethical principles as part of the overall drug development program.

Chair

Lindsay McNair, MD, MPH, MS

Speaker

How New Technologies are Being Developed to Align With Ethical Principles in Animal Research
Julie Frearson, PhD

Panelist
Szczepan Baran