About

Journal of Computational Biology and Medicine is an interdisciplinary platform dedicated to advancing the application of computational techniques in the fields of biology and medicine. It publishes innovative research that bridges the gap between biological sciences, medical technologies, and computational methods. The journal focuses on areas such as bioinformatics, computational genomics, systems biology, medical imaging, and personalized medicine, aiming to facilitate transformative discoveries that improve health outcomes. With a commitment to fostering collaboration among researchers, clinicians, and technologists, this journal strives to promote cutting-edge solutions to the complex challenges of modern medicine and biological sciences.

ISSN: 3079-7667 | ISSN (online): 3079-7675

Impact Factor (2025): 3.27 | CiteScore: 5.28

Announcements

Current IssueVol 5, No 1 (2025): Issue 5

Published January 1, 2025

Issue Description

Volume 1, Issue 1 (2025) of the Journal of Computational Biology and Medicine launches as a pioneering platform for cutting-edge research at the intersection of computational science and biomedical applications. This inaugural issue highlights advancements in bioinformatics, medical imaging, computational modeling, and data-driven healthcare solutions. Featuring innovative methodologies and interdisciplinary approaches, the articles address critical challenges in personalized medicine, disease prediction, and biological data analysis. With contributions from global experts, this edition aims to inspire transformative research and provide actionable insights for improving health outcomes through computational innovations

Table of Contents

Articles

The Model of Food Nutrition Feature Modeling and Personalized Diet Recommendation Based on the Integration of Neural Networks and K-Means Clustering
Pei-Min Lu, Zhaoyan Zhang
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DOI: https://doi.org/10.71070/jcbm.v5i1.60
Capillary transport modelling through Dynamic Bayesian Networks
Zainab Ibrahim, Siti Nurhaliza, Amirul Haziq
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DOI: https://doi.org/10.71070/jcbm.v5i1.66
Gaussian Mixture Models-based Efficient Multi-Omics Data Integration
Giovanni Rossi, Elena Bianchi, Marco Verdi
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DOI: https://doi.org/10.71070/jcbm.v5i1.67
Nonnegative Matrix Factorization with Fast Bayesian Inference
Lucas Pereira, Mariana Santos, Rafael Oliveira
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DOI: https://doi.org/10.71070/jcbm.v5i1.68
Spatial transcriptomics through Principal Component Analysis
Taro Yamamoto, Akira Suzuki, Yuki Tanaka
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DOI: https://doi.org/10.71070/jcbm.v5i1.69
DNA methylation patterns Analysis through K-Nearest Neighbors-based Method
Liam Hawthorne, Sarah Ngata, Jorrit van Veen
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DOI: https://doi.org/10.71070/jcbm.v5i1.87
Neural Circuits Modeling using Efficient Genetic Algorithm
Elin Svensson, Lars Johansson, Freja Eriksson
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DOI: https://doi.org/10.71070/jcbm.v5i1.92
Sustainable Digital Transformation through Gradient Boosting Machines
Dimitris Papadopoulos, Elena Stavrou, Nikos Georgiou
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DOI: https://doi.org/10.71070/jcbm.v5i1.94
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