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International Journal of Brain Sciences Cover

International Journal of Brain Sciences

E-ISSN: 3048-7935 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

International Journal of Brain Sciences [3048-7935(e)] is a peer-reviewed online journal launched in 2024 that publishes original research articles, reviews, case reports, and short communications on all aspects of brain sciences. The journal provides a platform for researchers, scholars, … and clinicians from around the world to share their research findings and ideas in the field of brain sciences.

The journal encourages the submission of original research articles that report novel findings in any of these areas, as well as comprehensive reviews and meta-analyses that synthesize existing knowledge and identify gaps in our understanding. The journal also welcomes case reports and short communications that report interesting or unusual cases that provide insights into the mechanisms of brain function and dysfunction.

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Journal Information

Title: International Journal of Brain Sciences
Abbreviation: ijbs
Issues Per Year: 2 Issues
E-ISSN: 3048-7935
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/IJBS
Starting Year: 2024
Subject: Brain Sciences
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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ijbs maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Podolsky Illya Mykolayovych, Professor

National University of Pharmacy, Ukraine, Kharkiv, Ukraine, 61168

Email :

Latest Articles

Ahead of Print

Decoding the Mind: A Scholarly Journey into Brain Science

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Neuroscience thinking processes, neural networks, neural plasticity memory creation, neuroimaging, consciousness

Deep Learning-Based Detection and Classification of Brain Tumors Using MRI Images

Brain tumor detection using magnetic resonance imaging (MRI) is a critical task in the early detection and treatment of brain tumors.

Brain tumor detection, magnetic resonance imaging (MRI), deep learning, convolutional neural networks (CNN), medical image analysis

AI-Driven IoT-Based Decision-Making System for Brainwave Study: The KSK Approach

The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring.

AI-driven IoT, brainwave, EEG, IoT, precision, accuracy, F1 score

A Review of Various Deep Learning Models for Classification of BrainTumor

Brain Tumor is most challenging and life threading decease now these days.

Brain Tumor, Deep learning, MRI image, Deep learning models, Artificial intelligence, Machine learning

Deep Learning Based Detection and Classification of Brain Tumors Using MRI Images

Brain tumor detection using magnetic resonance imaging (MRI) is a critical task in the early detection and treatment of brain tumors.

Brain tumor detection, magnetic resonance imaging (MRI), deep learning, convolutional neural networks (CNN), medical image analysis.

Artificial Intelligence in Early Diagnosis and Personalized Treatment of Alzheimer’s Disease

Artificial intelligence (AI) has become a disruptive technology in the medical care industry, with potential solutions to early diagnosis and customized treatment of Alzheimer’s disease (AD), a progressive neurodegenerative disease and the most prevalent cause of dementia globally.

Alzheimer’s Disease, Artificial Intelligence, Machine Learning, Early Diagnosis, Precision Medicine
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