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IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2023)
5th December 2023 –
8th December 2023
İstanbul, Türkiye
The main points discussed in Bioinformatics and Biomedicine deals with Artificial intelligence, Data mining, Computational biology, Pattern recognition and Machine learning. Artificial intelligence, which encompasses Feature extraction, Deep learning, Support vector machine, Artificial neural network and Convolutional neural network, is the main subject of Bioinformatics and Biomedicine. It links adjacent topics like Data mining with Cluster analysis.
In the event, Genetics, Gene, Bioinformatics, Molecular biophysics and Genomics are investigated in conjunction with one another to address concerns in Computational biology research. The event centers on topics in Gene, with a focus on Gene expression. Bioinformatics and Biomedicine features research on Genomics in an attempt to reinforce studies in the field of Genome.
Keywords
1. Bioinformatics and Computational Biology of Molecular Structure
Function and Evolution
1.a. Evolution
Phylogeny
Comparative Genomics
1.b. Protein/RNA Structure
Function and Interactions
1.c. 3D genome
2. Computational Systems Biology
2.a. Pathway Analysis
2.b. Biological Network Analysis
2.c. Interactomics
2.d. Gene Expression and Regulation
2.e. Post-translational Modifications
2.f. Alternative Splicing
2.g. Non-coding RNA Analysis
3. Next Generation Sequencing and High-throughput Methods
3.a. Next-Gen Sequencing
3.b. Microarray Data Analysis
3.c. SNPs and Haplotype Analysis
GWAS
Personalized Genomics
3.d. Transcriptomics
3.e. Metabolomics
3.f. Proteomics
3.g. Epigenomics
4. Cheminformatics and pharmacogenomics
4.a. Cheminformatics and Computer-Aided Drug Design
4.b. Molecular Docking
4.c. Molecular Modeling
4.d. Pharmacogenomics
5. Cross-Cutting Computational Methods and Bioinformatics of Disease
5.a. Data Mining
Machine Learning
and Artificial Intelligence
5.b. Big Data Analytics
5.c. High Performance Computing
5.d. Information Retrieval
Ontologies
Natural Language Processing
and Text Mining
5.e. Data Visualization
5.f. Computational Modeling and Data Integration
5.g. Precision Medicine
5.h. Genome-Phenome Analysis
5.i. Biomarker Discovery
5.j. Pathogen bioinformatics
6. Biomedical and Health Informatics
6.a. Data Mining
Machine Learning
and Artificial Intelligence
6.b. Big Data Analytics
6.c. Information Retrieval
Ontologies
Natural Language Processing
and Text Mining
6.d. Biomedical Image Analysis
6.e. Biomedical Signal Analysis
6.f. Healthcare Knowledge Representation & Reasoning
6.g. Data Visualization
6.h. Data Interoperability and Health Information Exchange
6.i. Human-computer Interaction and Human Factors
6.j. Clinical and Health Information Systems
6.k. Consumer Informatics and Personal Health Records
6.l. Electronic Medical/Health Records and Standards
6.m. Mobile Health
6.n. Clinical Decision Support