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ICIBM 2021 - International Conference on Intelligent Biology and Medicine 2021

Date2021-08-09 - 2021-08-10

Deadline2021-07-10

VenueHong Kong, Hong Kong SAR Hong Kong SAR

KeywordsIntelligent; Biology; Medicine

Websitehttps://econf.co/icibm2021

Topics/Call fo Papers

International Conference on Intelligent Biology and Medicine 2021 provide a leading forum for the presentation of new advances and research results in the fields of Intelligent Biology and Medicine. The conference will bring together leading researchers, Businessman and scientists in the domain of interest from around the world. Accordingly, Topics of interest for submission include, but are not limited to:
Conference Topics
Genomics and genetics, including integrative & functional genomics, genome evolution
Next generation sequencing data analysis, applications, and software and tools
Big data science including storage, analysis, modeling, visualization, and cloud
Precision medicine, translational bioinformatics and medical informatics
Drug discovery, design, and re-purposing
Proteomics, and protein structure prediction, molecular simulation and evolution
Single cell sequencing data analysis
Microbiome and Metagenomics
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
Modeling 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 lipidomics
Self-organization in living systems (cells, organisms, swarms, ecosystems, etc.)
Applications of systems biology approaches to biomedical studies
Cohort discovery, EHR-based phenotyping, Predictive Modeling
Data quality assessment or validation
Decision support solutions
Interoperability (e.g., ontology, terminology, and others)
Machine learnng for clinical applications
Mobile health and wearable devices

Last modified: 2020-11-04 20:26:56