About Journal

Biomedical Informatics and Analytics (BIA) is an international, peer-reviewed, open-access journal committed to the dissemination of advanced research, innovative methodologies, and practical applications in the interdisciplinary fields of biomedical informatics, health data analytics, and computational health sciences. The journal serves as a dedicated platform for researchers, healthcare professionals, and data scientists to share transformative solutions and empirical insights that address critical challenges in modern healthcare, clinical decision-making, and biomedical discovery.

The journal welcomes original research articles, comprehensive reviews, clinical case studies, technical reports, and short communications that explore the development, implementation, and evaluation of informatics tools, analytical models, and data-driven technologies in biomedical and healthcare contexts.

The journal is intended for academic researchers, clinical informaticians, biostatisticians, health IT specialists, bioinformaticians, and policy-makers focused on leveraging data analytics and informatics to advance healthcare quality, patient outcomes, and biomedical research.

ISBN: 7386-383X | Publication Frequency : Bi-Monthly

Potential Social Impact

The Journal of Biomedical Informatics and Analytics (BIA) has the potential to make a profound social impact by promoting the responsible use of data-driven technologies in the healthcare and life sciences sectors. By supporting open-access research in biomedical informatics, clinical data analysis, and health intelligence systems, BIA facilitates the dissemination of transformative solutions for personalized medicine, disease prevention, healthcare delivery, epidemiology, and public health monitoring. This open approach ensures that cutting-edge biomedical insights are accessible to researchers, clinicians, policymakers, and practitioners worldwide, including in underserved and resource-limited communities. By emphasizing real-world applications and translational research, BIA empowers the development of intelligent systems that enhance diagnosis, optimize treatment pathways, and support evidence-based medical decisions. The journal fosters interdisciplinary collaboration between data scientists, medical professionals, and health informaticians, helping bridge the gap between computational innovation and clinical practice.

As a platform for ethical and impactful knowledge exchange, BIA promotes inclusivity, data transparency, and patient-centered innovation, ensuring that advancements in biomedical analytics contribute meaningfully to global health and societal well-being.
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Editor(s) Board

Dr. María Fernanda, Villanueva University, Spain
Dr. Rodríguez Pérez, Lancaster University, Germany
Dr. Juan Carlos, University of West Attica, Greece
Dr. Miguel Torres, Maastricht University, Netherlands
Dr. Herrera Ruiz, Duke Kunshan University, China
Dr. Erik Johansson, University of Białystok, Poland
Dr. Anika Schneider, University of Primorska, Slovenia
Dr. Ivana Marković, University of Zadar, Croatia
Dr. Natalia Zielińska, Senghor University, Egypt
Dr. Jeroen de Vries, Villanueva University, Spain
Dr. Marta Nowak, Westlake University, China
Dr. Amina Okafor, University of the Peloponnese, Greece
Dr. Zainab Diallo, University of Madeira, Portugal
Dr. Carlos Ramírez, Southern University of Science and Technology, China
Dr. Ana Martínez, Estonian Entrepreneurship University of Applied Sciences, Estonia
Dr. Haruki Tanaka, ShanghaiTech University, China
Dr. Yui Kobayashi, Technical University of Cluj-Napoca, Romania