Workshop Chair: Dr. Byeongsang Oh, Associate Professor in University of Sydney
The human gut microbiome plays a crucial role in both physical and psychological well-being. Emerging research indicates a significant link between gut bacteria and the development, detection, and prevention of cancer. However, the precise mechanisms and the extent to which the gut microbiome influences cancer risk remain areas of active investigation. Despite recent breakthroughs suggesting a connection between gut bacteria and chronic diseases, including cancer development, side effects during cancer treatment, and the survival rate of cancer patients—facilitated by the increased efficacy of chemotherapy and immunotherapy—many clinical oncologists hesitate to introduce it into real-world clinical settings due to a lack of knowledge and established clinical practice guidelines. Therefore, this workshop aims to provide up-to-date information to healthcare professionals and the general public. It will discuss clinical applications that have the potential to enhance the survival of cancer patients and prevent cancer.
Workshop Chair: Dr. Alan Wang, Associate Professor in University of Auckland
The Workshop on Intelligent Medical Data Analysis for Precision Medicine offers an engaging platform for exploring the latest innovations in medical data analysis with a focus on precision medicine. The event will be held at Grafton Campus, The University of Auckland, bringing together students, researchers, and professionals to discuss cutting-edge applications of deep learning, neuroimaging, and augmented reality in healthcare.
Participants are provided with the opportunity to hear from presentations on advanced topics such as novel architectures for stroke lesion segmentation, deep learning and radiomics for cancer recurrence prediction, and the use of spiking neural networks for neuroimaging analysis. The workshop also includes augmented reality implementations designed for post-stroke spatial neglect rehabilitation.
Following the presentations, a dedicated discussion session is provided, encouraging participants to engage with the speakers, share insights, and explore future research opportunities. This workshop is designed as a valuable forum for advancing knowledge and fostering collaborations in the field of intelligent medical data analysis.
Workshop Chair: Dr. Ghulam Yaseen, Assistant Professor in University of Education
The workshop highlighted the computational methods for the analysis of such proteomics data, focusing on the explanation of the key concepts in the drug discovery development. Starting with mass spectrometric feature detection, the workshop covered the methods for the identification of peptides, methods for the quantification of peptides and proteins, exploratory statistics, network analysis, machine learning, and multi-omics data integration. Finally, the workshop discussed the current developments and provide an outlook on what the near future of computational proteomics might bear. Following topics will be covered during the workshop. The workshop was a huge success, with more than 100 participants from various backgrounds. The speakers delivered insightful presentations, and the Q&A sessions were engaging. The event provided a valuable opportunity for networking and knowledge sharing. The key takeaways will be useful for future reference and application.
You can find the Youtube Playlist Here.
Accepted papers of ICBioMed 2024 were published in Theoretical and Natural Science (Print ISSN 2753-8818) and were submitted to Conference Proceedings Citation Index (CPCI), Crossref, CNKI, Portico, Engineering Village (Inspec), Google Scholar, and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.
Title: Theoretical and Natural Science
Press: EWA Publishing, United Kingdom
ISSN: 2753-8818, 2753-8826 (electronic)