International Conference On Intelligent Biology And Medicine 2023

ICIBM 2023: International Conference on Intelligent Biology and Medicine 2023 aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Intelligent Biology and Medicine. It also provides a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Intelligent Biology and Medicine

Tracks of Conference

• Genomics and genetics, including integrative & functional genomics, genome evolution
• Next-generation sequencing data analysis, applications, and software and tools
• Precision medicine, translational bioinformatics and medical informatics
• Big data science including storage, analysis, modelling, visualization, and cloud
• Drug discovery, design, and re-purposing
• Proteomics, protein structure prediction, molecular simulation and evolution
• Single-cell sequencing data analysis
• Artificial intelligence, machine learning, deep learning, data mining, knowledge discovery
• Natural language processing, literature mining, semantic ontology and health informatics
• Neural computing, kernel methods, feature selection/extraction
• Evolutionary computing, swarm intelligence/optimization, ensemble methods
• Manifold learning theory, artificial life and artificial immune
• Image analysis and processing
• Modelling and simulation of biological processes, pathways and networks
• Mathematical and quantitative models of cellular and multi-cellular systems
• Multi-dimensional omics data integration
• Synthetic biological systems
• Metabolomics, microbiome, and lipidomic
• Self-organization in living systems (cells, organisms, swarms, ecosystems, etc.)
• Applications of systems biology approaches to biomedical studies
• Cohort discovery, EHR-based phenotyping, Predictive Modelling
• Data quality assessment or validation
• Decision support solutions
• Interoperability (e.g., ontology, terminology, and others)
• Machine learning for clinical applications
• Mobile health and Wearable devices

Others Details

https://econf.co/icibm2023/index.html