Información de la Revista
Computers in Biology and Medicine
https://www.sciencedirect.com/journal/computers-in-biology-and-medicine
Factor de Impacto:
6.3
Editor:
Elsevier
ISSN:
0010-4825
Vistas:
20426
Seguidores:
7
Solicitud de Artículos
Computers in Biology and Medicine, a companion title to Informatics in Medicine Unlocked, is a medium of international communication of the revolutionary advances being made in the application of the computer to the fields of bioscience and medicine.

The Journal will focus on such areas as:

    Analysis of Biomedical Systems: Solutions of Equations
    Synthesis of Biomedical Systems: Simulations
    Special Medical Data Processing Methods
    Special Purpose Computers
    Clinical Data Processing for Real Time
    Clinical and Experimental Use
    Medical Diagnosis and Medical Record Processing
    Biomedical Engineering
    Medical Informatics
    Bioinformatics
    Medical Applications of the Internet and World Wide Web
    Human Genomics
    Proteomics
    Functional Brain Studies

Articles which examine the following topics of special interest are being featured in Computers in Biology and Medicine: computer aids to the analysis of biochemical systems, computer aids to biocontrol-systems engineering, neuronal simulation by digital-computer gating components, automatic computer analysis of pictures of biological and medical importance, use of computers by commercial pharmaceutical and chemical organizations, radiation-dosage computers, and accumulating and recalling individual medical records, real-time languages, interfaces to patient monitors, clinical chemistry equipment, data handling and display in nuclear medicine and therapy.

CBM does not consider submissions:

-describing research using fundamental in silico tools, like basic molecular docking not supported by detailed molecular dynamic simulations, post modelling/dynamics analysis, estimation and mathematical modelling and advanced algorithmic treatment with the data sets, or by detailed experimental validations.

-with unclear dataset division into training/validation/test sets and/or imprecise downstream task analysis, specifically for image segmentation papers.

-with minor architecture/model modifications and only slight increase in performance validation parameters (accuracy, Dice, etc) and/or lack of comparison with real state-of-the-art methods.
Última Actualización Por Dou Sun en 2025-09-26
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