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Principes fondamentaux du génie biomédical
Intermediate Level

Principes fondamentaux du génie biomédical

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Principes fondamentaux du génie biomédical

Découvrez le développement de solutions médicales modernes grâce à la bioinformatique et à la recherche avancée dans ce cours gratuit.
Les avancées médicales sont le résultat de l'intégration de la biologie, de l'ingénierie et de la médecine. Ce cours explore les recherches en cours en génie biomédical qui répondent à la demande cr... Les avancées médicales sont le résultat de l'intégration de la biologie, de l'ingénierie et de la médecine. Ce cours explore les recherches en cours en génie biomédical qui répondent à la demande croissante de solutions de santé avancées. Vous étudierez la bioinformatique, le génie biomédical, l'analyse génétique, la phylogénétique, la génomique avancée et l'analyse des voies. Inscrivez-vous dès maintenant pour participer à des recherches médicales innovantes et contribuer aux soins de santé modernes.
COURSE PUBLISHER Training StationTraining Station online education

What You Will Learn In This Free Course

  • Define bioinformatics and state its...
  • State the challenges of Sequence al...
  • Recall some ethical considerations ...
  • Identify the algorithms used for se...
  • Define bioinformatics and state its core principles
  • State the challenges of Sequence alignment and database searching
  • Recall some ethical considerations in biomedical engineering
  • Identify the algorithms used for sequence alignment
  • Outline the various methods of predicting the structure of protein
  • Define phylogenetic analysis and explain various phylogenetic reconstruction methods
  • Recognize the different techniques for analyzing gene expression
  • Outline the platforms and technologies used in NGS and the challenges associated with NGS
  • Summarize the steps for interpreting pathway analysis results
  • State the techniques for identifying key pathways in biological data
  • Explain Systems biology and state the approaches to modeling biological networks
  • Discuss the various types of machine learning used in bioinformatics
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