How to learn from the past without repeating our mistakes?

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Lisa Moneymaker dives into the evolving role of data and AI in clinical trials, and the need to control for biases and historical underrepresentation in the data that trains AI models. “We can’t just copy and paste.” Lisa shows how we can move beyond outdated practices and embrace inclusivity in both trial design and technology to drive transformative advances and life-changing outcomes. If we can avoid – and even correct – the mistakes our grandfathers made, AI can help shape a future that’s innovative and just.

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About Lisa Moneymaker

Lisa is a seasoned leader in the intersection of technology and clinical research, with nearly 25 years of experience across pharma, biotech, and medical devices. Her roles include leadership of product, engineering, AI research, and customer engagement organizations within both sponsor and product technology companies -  supporting the industry’s ever evolving need for innovative technology to improve clinical development and patient outcomes.  Lisa serves as the vice chair of ACRO, and is on the advisory board for the Sexual and Gender Minority Alliance.

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Credits:

• Event Production: Smith & Jones Innovation

• Direction & Speaker Support: Jeff Smith

• Production & Stage Management: Michelle Jones

• Stage Design & Lighting: Steve Harper | Indigo Design

• Video Capture: Armosa Studios

• Video Editing: Kyle Blackburn

• Screen Assets & Video Engineer: Hunter Loveridge | Picture This

• Sound Engineer: Uptown! Knauer Center for Performing Arts