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Minisymposium Presentation

Navigating the Future of AI in Personalized Medicine: Challenges and Innovations

Monday, June 3, 2024
13:00
-
13:30
CEST
Climate, Weather and Earth Sciences
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Chemistry and Materials
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Computer Science and Applied Mathematics
Computer Science and Applied Mathematics
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Humanities and Social Sciences
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Engineering
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Physics
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Presenter

Justin
Wozniak
-
Argonne National Laboratory

Wozniak is a Computer Scientist at Argonne National Laboratory where he leads the development of the Swift/T workflow system. He won an R&D 100 award in 2018 and was a Gordon Bell finalist in 2020. Wozniak is the co-chair of the XLOOP workshop at SC. He received a PhD in Computer Science & Engineering from the University of Notre Dame in 2008.

Presenter

Neeraj
Kumar
-
Pacific Northwest National Laboratory

Dr. Neeraj Kumar is a Chief Data Scientist in the Advanced Computing, Mathematics, and Data Division at the Pacific Northwest National Laboratory (PNNL). With a profound dedication to advancing the fields of data science, computing, and applied mathematics, Dr. Kumar has dedicated over a decade to the exploration and expansion of the horizons in applied machine learning, artificial intelligence, probabilistic programming, natural language processing, quantum computing, and innovative modeling and simulation methods. Dr. Kumar's expertise transcends theoretical frameworks, extending into practical applications in science, and engineering missions. He tackles both fundamental and applied scientific challenges, with a strategic focus on developing scalable AI/ML products, enhancing computational chemistry, and materials science, and pioneering digital molecular discovery through advanced analytics and high performance computing. He has published many peer-reviewed articles, highlights, workshops, and technical conference proceedings. His leadership and expertise have guided numerous data science research programs, underpinning multidisciplinary team efforts to push the boundaries of scientific discovery and innovation.

Presenter

Eric
Stahlberg
-
Frederick National Laboratory for Cancer Research

Dr. Eric Stahlberg directs cancer data science initiatives at the Frederick National Laboratory. He has been instrumental in establishing the Frederick National Laboratory’s HPC initiative and in assembling collaborative teams across multiple, complex organizations to advance predictive oncology. Stahlberg has played a leadership role in many key partnerships, including forming the collaboration between the National Cancer Institute and the Department of Energy where the agencies are accelerating progress in precision oncology and computing. He has led program efforts establishing foundations for digital twin applications in cancer, and now advancing personalized medicine for all individuals through virtual human models and digital twin approaches. He co-organizes the annual Computational Approaches for Cancer at SC and HPC Applications of Precision Medicine workshops at ISC. Most recently, he spearheaded the first Virtual Human Global Summit in October 2023.

Description

This panel discussion will explore the landscape of artificial intelligence in personalized medicine, focusing on the development, integration, and regulatory challenges of AI models designed to predict tumor responses, treatment toxicities, and other related responses. Experts will discuss the sustainability of model portability, transparency, and the incorporation of digital twins, addressing the technological and ethical hurdles in scaling these models for clinical impact. The session aims to explore the complexities of using AI to tailor patient-specific treatments, supporting innovation while guaranteeing patient safety in the rapidly evolving field of medical AI.

Authors