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[av_heading heading=’Artificial Intelligence to Improve Effectiveness of Clinical and Research Laboratories’ tag=’h1′ style=’blockquote modern-quote’ subheading_active=’subheading_above’ show_icon=” icon=’ue800′ font=’entypo-fontello’ size=” av-desktop-font-size-title=” av-medium-font-size-title=” av-small-font-size-title=” av-mini-font-size-title=” subheading_size=’18’ av-desktop-font-size=” av-medium-font-size=” av-small-font-size=” av-mini-font-size=” icon_size=” av-desktop-font-size-1=” av-medium-font-size-1=” av-small-font-size-1=” av-mini-font-size-1=” color=’custom-color-heading’ custom_font=’#ffffff’ subheading_color=’#ffffff’ seperator_color=’#ffffff’ icon_color=’#ffffff’ margin=” margin_sync=’true’ av-desktop-margin=” av-desktop-margin_sync=’true’ av-medium-margin=” av-medium-margin_sync=’true’ av-small-margin=” av-small-margin_sync=’true’ av-mini-margin=” av-mini-margin_sync=’true’ headline_padding=” headline_padding_sync=’true’ av-desktop-headline_padding=” av-desktop-headline_padding_sync=’true’ av-medium-headline_padding=” av-medium-headline_padding_sync=’true’ av-small-headline_padding=” av-small-headline_padding_sync=’true’ av-mini-headline_padding=” av-mini-headline_padding_sync=’true’ padding=’0′ av-desktop-padding=” av-medium-padding=” av-small-padding=” av-mini-padding=” icon_padding=’10’ av-desktop-icon_padding=” av-medium-icon_padding=” av-small-icon_padding=” av-mini-icon_padding=” link=” link_dynamic=” link_target=” title_attr=” id=” custom_class=” template_class=” av_uid=’av-l6cb9orn’ sc_version=’1.0′ admin_preview_bg=”]
Webinar
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12:00 PM Eastern Time, Thursday August 21, 2025
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Registrants will receive an email with a link to access the webinar after completion of registration.

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Artificial Intelligence (AI) is reshaping how clinical, core-research, and industrial laboratories deliver accurate, rapid, and reproducible results.

This webinar explores practical AI applications—from decision-support algorithms that guide test ordering and interpret complex results, to computer-vision tools that accelerate image analysis, to predictive analytics that optimize inventory and prevent supply-chain disruptions. Speakers will highlight proven use cases, implementation pitfalls, and governance considerations, giving attendees a roadmap for integrating AI to boost quality, efficiency, and compliance.

Primary target audience:

Laboratory researchers, core research laboratories of universities, clinical laboratories, teachers of reproducibility, biotech companies, industry supported researchers, and funders of projects.
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With thanks to our sponsors
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AI integration strategies to improve quality and performance in laboratories (15 minutes)
Chelsea Treboniak (President, Critical Ops)

Decision support for test ordering, result interpretation, and data sharing (8 minutes)
Daniel Herman, MD, PhD (University of Pennsylvania)

Efficient diagnostic test ordering using artificial intelligence (8 min)
Peter Elkin, MD (University at Buffalo, State University of New York)

Transition from an AI concept to a scalable solution in health IT (8 minutes)
David Stefanich (Managing Director, WAIve Diagnostics)
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Chelsea Treboniak
(President, Critical Ops)

Chelsea Treboniak, a United States Military Academy graduate, veteran researcher, and published author, founded Critical Ops in 2012. Under Chelsea’s leadership, Critical Ops (https://criticalops.com/) has carved a niche in critical infrastructure protection, providing cutting-edge modernization consulting services and products, including Unmanned Aircraft Systems (UAS), blockchain for healthcare, and e-crime intelligence. Besides running Critical Ops, Chelsea serves on Advisory Councils and the Board of Directors for organizations dedicated to Advanced Air Mobility (AAM), emerging technologies, and critical infrastructure security.

Daniel Herman MD, PhD
(University of Pennsylvania)

David Stefanich

David Stefanich is Managing Director of WAIve Diagnostics. Previously, he was co-founder and CEO of Rymedi, a digital health company improving the patient-provider experience with a workflow and data automation platform for diagnostics, occupational health and screening, clinical trials and research, and various healthcare services. He is also Chairman of the Board of SCbio. David is an active member of the Clemson University Industry Advisory Board and the High Point University Phillips School of Business advisory board as well as advisor to various entrepreneurship and innovation initiatives. His experience includes as Chief Technology Officer and CIO for pharmaceutical manufacturers and IT systems for logistics and automotive companies, He has brought his approach to  automating global quality management and logistics in the automotive industry to streamlining pharmaceutical manufacturing.

David is a patented software engineer, and  holds a Master of Business Administration (MBA) from Mercer University’s Stetson School of Business and Economics with a focus in International Business (Hong Kong), a Master of Computer Applications (MCA) from Mercer University with a focus in Computer Software Engineering, He holds an M.S. in Chemistry from The University of Toledo.

 

Peter Elkin, MD
(University at Buffalo, State University of New York)
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