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 K. Brock

doi:10.1109/IEEECONF58974.2023.10405093

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 K. Brock^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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 language	English
Title of host publication	2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	137-138
ISBN (Electronic)	9798350383386
DOIs	https://doi.org/10.1109/IEEECONF58974.2023.10405093
Publication status	Published - 2023
Externally published	Yes
Event	2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023 - Malta, Mali Duration: 7 Dec 2023 → 9 Dec 2023

Publication series

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

Conference

Conference	2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023
Country/Territory	Mali
City	Malta
Period	07/12/2023 → 09/12/2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1109/IEEECONF58974.2023.10405093

Cite this

Paolucci, I., Heiselman, J., Sonke, J.-J., Chung, C., & Brock, K. K. (2023). 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. In 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023 (pp. 137-138). (2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEEECONF58974.2023.10405093

Paolucci, Iwan ; Heiselman, Jon ; Sonke, Jan-Jakob et al. / 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. 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 137-138 (2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023).

@inproceedings{dff8880c00444643930e8a8e3891ed8d,

title = "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",

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.",

author = "Iwan Paolucci and Jon Heiselman and Jan-Jakob Sonke and Caroline Chung and Brock, \{Kristy K.\}",

year = "2023",

doi = "10.1109/IEEECONF58974.2023.10405093",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "137--138",

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

address = "United States",

note = "2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023 ; Conference date: 07-12-2023 Through 09-12-2023",

}

Paolucci, I, Heiselman, J, Sonke, J-J, Chung, C & Brock, KK 2023, 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. in 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023. 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023, Institute of Electrical and Electronics Engineers Inc., pp. 137-138, 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023, Malta, Mali, 07/12/2023. https://doi.org/10.1109/IEEECONF58974.2023.10405093

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. / Paolucci, Iwan; Heiselman, Jon; Sonke, Jan-Jakob et al.
2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 137-138 (2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Data Science in Oncology

T2 - 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023

AU - Paolucci, Iwan

AU - Heiselman, Jon

AU - Sonke, Jan-Jakob

AU - Chung, Caroline

AU - Brock, Kristy K.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85185565928

U2 - 10.1109/IEEECONF58974.2023.10405093

DO - 10.1109/IEEECONF58974.2023.10405093

M3 - Conference contribution

T3 - 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023

SP - 137

EP - 138

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

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 7 December 2023 through 9 December 2023

ER -

Paolucci I, Heiselman J, Sonke JJ, Chung C, Brock KK. 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. In 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 137-138. (2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023). doi: 10.1109/IEEECONF58974.2023.10405093

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

Abstract

Publication series

Conference

UN SDGs

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