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 Conference Paper
| Authors: | Paolucci, I.; Heiselman, J.; Sonke, J. J.; Chung, C.; Brock, K. K. |
| 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 |
| Conference Title: | 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, IEEECONF 2023 |
| 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. © 2023 IEEE. |
| Keywords: | oncology; health care; diseases; interventional; plenary sessions; data science; causes of death; science and engineering |
| Journal Title | 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology |
| Conference Dates: | 2023 Dec 7-9 |
| Conference Location: | Portomaso, Malta |
| ISBN: | 979-835038338-6 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Date Published: | 2023-01-01 |
| Start Page: | 137 |
| End Page: | 138 |
| Language: | English |
| DOI: | 10.1109/ieeeconf58974.2023.10405093 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Conference paper -- Source: Scopus |
