Ece Uzun: Thrilled to present our special theme issue on ‘Artificial Intelligence in Oncology’
Ece Uzun, Associate Professor of Pathology and Laboratory Medicine at Brown University, shared a post on LinkedIn:
“As the Editor-in-Chief of Journal of Medical Internet Research Publications Bioinformatics and Biotechnology, I am thrilled to present our special theme issue on ‘Artificial Intelligence in Oncology’.
My esteemed colleagues, Aik Choon Tan, Manish Kohli and Joseph Finkelstein are serving as guest editors for this special theme issue.
This is a very timely theme issue covering following topics:
1.Machine learning based predictive models using genomic, electronic health record , and imaging data in oncology
2.Natural language processing techniques for mining information from real-world oncology data, including electronic health record
3.Large language models applying real-world data in oncology research
4.Artificial Intelligence applications in radiology and radiogenomics
5.Image analysis for tumor detection and classification
6.Artificial Intelligence – driven drug discovery and development in oncology
7.Innovative clinical trials design using Artificial Intelligence or Machine learning
8.Patient clinical trial matching using Artificial Intelligence or Machine learning
9.Development and applications of Artificial Intelligence or Machine learning in digital oncology
10.Leveraging and learning from real-world data to advance cancer research
Please consider submitting your studies!!!
The deadline is December 31, 2024. If you have any questions, please contact me or our guest editors.”
Read further.
Source: Ece Uzun/LinkedIn
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