Jove
Visualize
Contact Us

Related Experiment Videos

Application of knowledge information processing methods to biochemical engineering, biomedical and bioinformatics

Taizo Hanai1, Hiroyuki Honda

  • 1Laboratory for Bioinformatics, Graduate School of Systems Life Sciences, Kyushu University, Hakozaki 6-10-1, Higashi-ku, Fukuoka 812-8581, Japan. taizo@brs.kyushu-u.ac.jp

Advances in Biochemical Engineering/Biotechnology
|September 30, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Clinical relevance of hyperamylasemia and pancreatitis-like imaging linked with accidental hypothermia.

PloS one·2026
Same author

Exploratory Analysis of Serum IGF-I Levels and Symptom Trajectories in Long COVID During the Omicron Period.

Journal of clinical medicine·2026
Same author

Clinical Utility of SARS-CoV-2 Antibody Titers in the Management of Patients With Long COVID Infected With the Omicron Variant.

British journal of biomedical science·2026
Same author

Preoperative Gamma-Glutamyltransferase-to-Lymphocyte Ratio as an Independent Prognostic Biomarker in Patients Undergoing Radical Cystectomy for Bladder Cancer.

Medicina (Kaunas, Lithuania)·2026
Same author

Evaluation of LC/MS Methods for Hydrophilic Metabolites to Enable Integration of Human Blood Metabolome Data.

Mass spectrometry (Tokyo, Japan)·2026
Same author

Possible Involvement of Hypothalamic Dysfunction in Long COVID Patients Characterized by Delayed Response to Gonadotropin-Releasing Hormone.

International journal of molecular sciences·2026
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Advanced computational methods like artificial neural networks (ANN) and fuzzy logic are revolutionizing biochemical and biomedical engineering. These techniques offer powerful tools for analyzing complex biological systems, including gene and protein interactions, leading to improved industrial processes and disease prognosis.

Area of Science:

  • Biochemical Engineering
  • Biomedical Engineering
  • Bioinformatics

Background:

  • Complex chemical reactions involving genes and proteins in biochemical and biomedical fields are challenging to model with conventional methods.
  • Knowledge information processing techniques from computer science, including artificial neural networks (ANN), fuzzy reasoning, fuzzy neural networks (FNN), fuzzy adaptive resonance theory (fuzzy ART), and genetics algorithms (GA), offer new analytical approaches.
  • These computational methods have broad applications across various research domains.

Purpose of the Study:

  • To review computational methods applicable to biochemical and biomedical engineering.
  • To illustrate the application of these methods in industrial biochemical processes.
  • To explore their utility in biomedical and bioinformatics research, specifically in cancer patient prognosis and gene clustering.

Related Experiment Videos

Main Methods:

  • Review of artificial neural networks (ANN), fuzzy reasoning, fuzzy neural networks (FNN), fuzzy adaptive resonance theory (fuzzy ART), and genetics algorithms (GA).
  • Application of FNN for predicting cancer patient prognosis using DNA microarray data.
  • Utilizing fuzzy ART for gene clustering on DNA microarray data.

Main Results:

  • Demonstrated successful application of FNN in predicting cancer prognosis from DNA microarray data.
  • Showcased the effectiveness of fuzzy ART in performing gene clustering on DNA microarray data.
  • Highlighted the potential of these computational intelligence methods in industrial biochemical processes and biomedical research.

Conclusions:

  • Computational intelligence methods provide effective solutions for analyzing complex biological systems where traditional models fall short.
  • Fuzzy neural networks and fuzzy ART are valuable tools for bioinformatics tasks such as cancer prognosis prediction and gene clustering.
  • These advanced computational approaches hold significant promise for advancing both industrial biochemical applications and biomedical research.