Data Science in Oncology: A Summary of the Mini-Symposium at the IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology

Iwan Paolucci, Jon Heiselman, Jan Jakob Sonke, Caroline Chung, Kristy Brock

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The 2023 IEEE EMBS International Conference on Data Science and Engineering in Healthcare, Medicine & Biology will host a plenary session discussing the state of data science in Oncology and its challenges moving forward. Cancer is the second most leading cause of death and a very heterogenous disease. Data science and artificial intelligence (AI) have made very promising advancements in Oncology to combat this large heterogeneity and the wide range of available treatments. In this session we will discuss data science in the different pillars of cancer care including Surgical, Radiation, and Interventional Oncology.Clinical Relevance: This is a brief summary of the Data Science in Oncology plenary session.

Original languageEnglish (US)
Title of host publication2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages137-138
Number of pages2
ISBN (Electronic)9798350383386
DOIs
StatePublished - 2023
Event2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023 - Malta, Malta
Duration: Dec 7 2023Dec 9 2023

Publication series

Name2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023

Conference

Conference2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023
Country/TerritoryMalta
CityMalta
Period12/7/2312/9/23

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Information Systems
  • Decision Sciences (miscellaneous)
  • Information Systems and Management
  • Biomedical Engineering
  • Health Informatics

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