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Bio-Algorithms and Med-Systems - Walter de Gruyter | 2024 Cite Score:3.8 | Q3

Bio-Algorithms and Med-Systems Journal With Cite Score

Cite Score and Journal Rank of Bio-Algorithms and Med-Systems

  • About: Bio-Algorithms and Med-Systems (BAMS) is a peer-reviewed academic journal that focuses on the intersection of biological algorithms and medical systems. The journal provides a platform for publishing research that explores how algorithmic methods and computational techniques can be applied to biological and medical challenges.
  • Objective: The primary objective of the Bio-Algorithms and Med-Systems journal is to advance the understanding and development of algorithms and computational systems that address problems in biology and medicine. The journal covers a wide range of topics, including bioinformatics, computational biology, medical imaging, medical data analysis, and the development of algorithms for biological and medical applications. It aims to publish research that contributes to innovative solutions for enhancing healthcare and advancing biological research through computational methods.
  • Interdisciplinary Approach: The journal adopts an interdisciplinary approach by integrating research from fields such as computer science, bioinformatics, medical science, and data science. This approach allows for a comprehensive exploration of how computational techniques can be used to solve complex biological and medical problems. Contributions that bridge multiple disciplines and apply algorithmic solutions to biological and medical challenges are particularly encouraged.
  • Impact and Significance: The Bio-Algorithms and Med-Systems journal has a significant impact on both the academic and professional communities involved in computational biology and medical systems. The research published in the journal contributes to the advancement of computational tools and methods that enhance the analysis and interpretation of biological and medical data. It serves as a key resource for researchers, practitioners, and developers interested in the application of algorithms and computational techniques in the life sciences and healthcare.

  • Editor-in-Chief:  Irena Roterman-Konieczna

  • Scope: The Bio-Algorithms and Med-Systems Journal is a peer-reviewed journal that focuses on the application of algorithms and computational methods in biomedical and medical systems. The journal aims to publish research that advances the use of algorithms and computational techniques in the analysis, diagnosis, and treatment of medical conditions. Key areas covered by the journal include:
  • 1. Biomedical Algorithms: Research on algorithms developed for analyzing and processing biomedical data, including image analysis, signal processing, and pattern recognition.
  • 2. Medical Imaging: Studies on computational techniques for medical imaging, including image acquisition, enhancement, segmentation, and interpretation.
  • 3. Computational Medicine: Exploration of computational methods for modeling and simulating medical systems, including disease modeling, patient simulations, and therapeutic simulations.
  • 4. Bioinformatics: Research on bioinformatics tools and algorithms for analyzing biological data, including genomics, proteomics, and molecular data analysis.
  • 5. Health Informatics: Studies on the application of informatics in healthcare, including electronic health records (EHRs), health data management, and decision support systems.
  • 6. Algorithmic Diagnostics: Research on algorithms used for diagnostic purposes, including decision-making systems, diagnostic support tools, and predictive modeling.
  • 7. Personalized Medicine: Exploration of computational approaches to personalized medicine, including tailored treatment plans, individualized drug dosing, and precision diagnostics.
  • 8. Medical Data Analysis: Studies on methods for analyzing medical data, including statistical analysis, machine learning, and data mining techniques applied to healthcare data.
  • 9. Telemedicine and Remote Monitoring: Research on algorithms and systems for telemedicine and remote health monitoring, including data transmission, remote diagnostics, and virtual consultations.
  • 10. Health Systems Modeling: Exploration of modeling techniques for health systems, including workflow analysis, resource management, and system optimization in healthcare settings.
  • 11. Computational Drug Discovery: Studies on computational methods for drug discovery and development, including molecular docking, virtual screening, and pharmacokinetics modeling.
  • 12. Biostatistics and Epidemiology: Research on statistical methods and algorithms for biostatistics and epidemiological studies, including survival analysis, risk assessment, and population studies.
  • 13. Artificial Intelligence in Medicine: Exploration of artificial intelligence (AI) applications in medicine, including machine learning models, AI-driven diagnostic tools, and intelligent healthcare systems.
  • 14. Computational Genomics: Research on computational approaches to genomics, including gene expression analysis, genetic variation studies, and genome-wide association studies (GWAS).
  • 15. Medical Robotics: Studies on algorithms and systems for medical robotics, including robotic surgery, robotic-assisted therapies, and automation in medical procedures.
  • 16. Clinical Decision Support Systems: Research on systems designed to support clinical decision-making, including diagnostic aids, treatment recommendations, and clinical guidelines integration.
  • 17. Biomedical Signal Processing: Exploration of signal processing techniques applied to biomedical signals, including ECG, EEG, and other physiological signals for diagnostic and monitoring purposes.
  • 18. Computational Neuroscience: Studies on computational models of neural systems, including brain modeling, neural network simulations, and cognitive function analysis.
  • 19. Health Data Privacy and Security: Research on algorithms and systems for ensuring the privacy and security of health data, including encryption, access control, and data protection mechanisms.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  18959091,

    Electronic ISSN:   1896530X

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Biochemistry, Genetics and Molecular Biology, Biochemistry, Genetics and Molecular Biology (miscellaneous), Computer Science, Computer Science (miscellaneous), Medicine, Health Informatics, Medicine (miscellaneous)

  • Publication Frequency:  

  • H Index:  15

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Biochemistry, Genetics and Molecular Biology (miscellaneous)

    Q4:  

  • Cite Score:  3.8

  • SNIP:  1.024

  • Journal Rank(SJR):  0.307