Precision Medicine with Responsible AI
Symposium offers 5.0 contact hours
18 May 2025
07:00 am
Precision medicine powered by responsible AI offers a transformative approach to healthcare. By ethically leveraging data and advanced algorithms, we can tailor treatments and prevention strategies to individual patients, improving outcomes and promoting well-being.
Target Audience
This educational activity has been designed to meet the educational needs of physicians, physician associates, advanced nurse practitioners, and nurses.
Learning Objectives:
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Review advances in computational pathology and predictive oncology
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Discuss and explore collaboration opportunities on the evolution of predictive cancer patient digital twins:
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Review new discoveries in genetics and genomic science, oncological science, and clinical and translational research
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Review new techniques in molecular and radiological imaging and pathology informatics
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Discuss cutting-edge computational techniques in predictive analytics for cancer, including supercomputing technologies developed through the NCI-DOE collaboration, Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) and related joint efforts
About PLEYVERSE HEALTH
What is PLEYVERSE HEALTH?
PLEYVERSE HEALTH is building bridges across disciplines, communities, and interests to address the new advances in patient impact to reduce the translational gap and its impact. PLEYVERSE Health platform is utilizing web 3 technologies to close gaps in key areas including technology, education, regulation, social acceptance, and workforce capabilities that limit advances in research and computing. The event focuses on technological, social, and economic innovations and disruptions on the horizon that affect the frontiers of healthcare research and computing.
The goal of PLEYVERSE HEALTH is to continue to use technological advancement to deliver a web3 event platform that brings together healthcare providers and other stakeholders to facilitate useful discussions about advancing knowledge and eliminating the translational gap.