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MBAI 2020 : 2nd International Conference on Medicine, Bioengineering and Artificial Intelligence

Beijing, China
Event Date: Nov 22, 2020 - Nov 23, 2020
Submission Deadline: Sep 10, 2020

About

The conference aims to bring together researchers and scholars to exchange experience, new ideas, and research results about all aspects of Medicine, Bioengineering and Artificial Intelligence, and discuss the practical challenges encountered and the solutions adopted.
 

Call For Paper

Biomedicine Engineering

  • Bioinformatics of Diseases
  • Biomedical Text Mining and Ontologies
  • Biological Data Mining and Visualization
  • Biomedical Intelligence & Clinical Data Analysis
  • BioMedical Signal/Image Analysis
  • Comparative Genomics
  • Computational Modeling & Data Integration
  • Computational Systems Biology
  • Gene Regulation and Transcriptomics
  • Massively Parallel Sequencing & Applications
  • Microarray Data Analysis
  • New Emerging Areas
  • Protein Structure, function, and interactions
  • Sequence Analysis, Evolution and Phylogeny
  • Translational Genomics in Engineering

Bioengineering

  • Biological Systems and Models
  • Engineering Models in Bio-Medicine
  • Computer Assisted Intervention Systems
  • Medical Robotics
  • Nano-Medicine
  • Nano-Mechanisms for Molecular Systems
  • Nano-Bio-Computing
  • Biomedical & Biological Sensors
  • Cell Engineering
  • Molecular and Cellular Systems
  • Body's and Cell's Bio-signatures
  • Tissue Engineering
  • Neuro-Engineering
  • Microarray Technologies
  • Biomaterials
  • Bioengineering Applications for people with disabilities and the elderly
  • eHealth & mHealth Systems

Artificial Intelligence and Application

  • AI and the Web
  • Cognitive Systems
  • Computational Sustainability and AI
  • Game Playing and Interactive Entertainment
  • Heuristic Search
  • Human-Computer Collaboration
  • Machine Learning
  • Multi-agent Systems
  • Natural-Language Processing
  • Robotics and Vision
  • Natural language processing
  • Knowledge performance
  • Smart search
  • Machine learning
  • Knowledge acquisition
  • Combined scheduling problem
  • Perceived problem
  • Complex system
  • Genetic algorithm

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