• News

    A new milestone for our journal BRAIN!

    November 11, 2025

    We are delighted to announce that we have officially registered the verbal trademark BRAIN. Broad Research in Artificial Intelligence and Neuroscience with OSIM – the State Office for Inventions and Trademarks in Romania!

    OSIM is the national authority responsible for ensuring legal protection of industrial property in Romania – an essential step in securing and recognizing our editorial identity.

    This registration marks an important milestone in the development of the BRAIN Journal, reinforcing its position as a scientific platform devoted to interdisciplinary research at the intersection of artificial intelligence and neuroscience.

    We sincerely thank all researchers, authors, editors, and readers who have supported us on this journey and helped grow the BRAIN community!

    Together, we continue to explore the frontiers of knowledge – where mind and technology meet.

  • News

    AI & Deep Learning in Medical Innovation

    November 10, 2025

    We’re thrilled to highlight a remarkable scientific contribution that explores how Deep Learning is revolutionizing medical decision support systems — a key area shaping the future of healthcare technology.

    Deep Learning for Medical Decision Support Systems
    Published by: Springer (2021)
    Series: Studies in Computational Intelligence (SCI), Volume 909

    Authors:
    Utku Kose — Associate Editor, BRAIN Journal
    Omer Deperlioglu
    Jafar Alzubi
    Bogdan Pătruț — Editor-in-Chief, BRAIN Journal

    What This Book Offers

    Innovative applications of Deep Learning for medical diagnosis and education
    Advanced AI techniques — CNNs, LSTMs, Belief Networks, Autoencoders
    Real-world insights into AI-based decision support systems
    A valuable reference for researchers, practitioners, and students in healthcare and computer science

    Impact So Far

    11,000+ accesses
    58 citations
    (Source: SpringerLink, 2024)

    Why It Matters

    With the growing integration of AI in healthcare, this book offers essential perspectives on how Deep Learning can enhance diagnostic accuracy, clinical decision-making, and personalized care.
    It bridges research and practice — empowering healthcare professionals and data scientists to design smarter, more responsive medical systems.

    Ideal Audience

    Researchers • PhD/MSc Students • Healthcare Technologists • AI Enthusiasts • Clinical Data Scientists

    Congratulations to the authors for their outstanding contribution to the intersection of Artificial Intelligence, Healthcare, and Decision Support Systems!