BRAIN. Broad Research in Artificial Intelligence and Neuroscience

12/09/2025

✨ 𝐒𝐦𝐚𝐫𝐭 𝐂𝐚𝐧𝐞𝐬 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐕𝐢𝐬𝐮𝐚𝐥𝐥𝐲 𝐈𝐦𝐩𝐚𝐢𝐫𝐞𝐝: 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐟𝐨𝐫 𝐈𝐧𝐝𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐌𝐨𝐛𝐢𝐥𝐢𝐭𝐲 ✨

𝗔𝘂𝘁𝗵𝗼𝗿𝘀: Miroslav Galabov, Tihomir Stefanov, Milena Stefanova & Silviya Varbanova – St. Cyril and St. Methodius University, Veliko Tarnovo (BG)

📖 Read the full article here: http://dx.doi.org/10.70594/brain/16.3/2

This work highlights how smart canes can transform the lives of visually impaired people 🧑‍🦯 — improving mobility, safety, and independence through technologies like obstacle detection, voice navigation, smartphone connectivity, and future AI integration.

👇 𝗕𝗲𝗹𝗼𝘄, 𝘆𝗼𝘂 𝗰𝗮𝗻 𝘄𝗮𝘁𝗰𝗵 𝗮 𝘀𝗽𝗲𝗰𝗶𝗮𝗹 𝘃𝗶𝗱𝗲𝗼 created by our collaborator, Victoria, bringing this research closer to everyone! 🎥💡

12/09/2025

🔥 𝗕𝘂𝗿𝗻𝗼𝘂𝘁 𝗶𝗻 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 🔥
Did you know that up to 75% of doctors and nurses experience burnout? 😮 This condition is not just about feeling tired — it’s deeply connected to depression, anxiety, PTSD, and even suicidality.

📖 In their article “A Review of Burnout Psychiatric Consequences”,
Alexandru Ungurianu, Anamaria Ciubară, and Oana Roxana Ciobotaru (Dunărea de Jos University of Galați) explore the hidden impact of burnout and what can be done to fight it.

👇 Below you’ll find the expert review by 𝘿𝙧. 𝘾𝙡𝙖𝙪𝙙𝙞𝙖 𝙏𝙪𝙜𝙪𝙡𝙚𝙖, Production Editor of our journal. Don’t miss her insights!

12/09/2025

🚀 AI in Economics & Business Research – Featured in BRAIN Journal

In recent years, our academic journal BRAIN. Broad Research in Artificial Intelligence and Neuroscience has published a wide range of studies showing how Artificial Intelligence is shaping the economic and business fields.

From neuromarketing and digital marketing to consumer behavior, HR management, entrepreneurship, and business segmentation, researchers are exploring how AI opens new possibilities for understanding and improving economic processes.

Here are just a few examples:
📌 Ready to Grip AI's Potential? Insights from an Exploratory Study on Perceptions of Human-AI Collaboration (Vol. 15, No. 2, 2024)
📌 Customer Behaviour Analysis Through Clustering and Classification for Segmentation and Forecasting in Marketing Campaigns (Vol. 16, No. 3, 2025)
📌 Adoption of AI in Digital Marketing: Comparing Gen Z and Gen Y through the Technology Acceptance Model (Vol. 16, No. 3, 2025)
📌 Electroencephalography (EEG)-Based Neuromarketing: Predicting Consumer Reactions Using ML Techniques (Vol. 16, No. 3, 2025)
📌 Entrepreneurship in the Era of the Digital Economy. Neuroeconomic Aspect (Vol. 14, No. 4, 2023)
📌 The Application of Artificial Intelligence in Business Segmentation (Vol. 16, No. 3, 2025)

These contributions demonstrate how AI is not just transforming technology, but also the way we think about markets, businesses, and human decision-making. 🌍💡

👉 Explore more at: https://brain.edusoft.ro

12/09/2025

🌟 𝗝𝗼𝗶𝗻 𝗕𝗥𝗔𝗜𝗡 𝗝𝘂𝗻𝗶𝗼𝗿 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀!

Are you a high school or undergraduate student passionate about
🤖 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 • 🧠 𝗡𝗲𝘂𝗿𝗼𝘀𝗰𝗶𝗲𝗻𝗰𝗲 • 🔬 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆?

Now you can share your ideas with the world in an international academic journal!

✍️ 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗦𝗲𝗻𝗱

📝 𝗦𝗵𝗼𝗿𝘁 𝗽𝗮𝗽𝗲𝗿𝘀 & 𝗲𝘀𝘀𝗮𝘆𝘀 (2–5 pages)
🎨 𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗲 𝘀𝗰𝗶𝗲𝗻𝗰𝗲 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 (posters, infographics)
🎤 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀 & 𝘀𝘁𝗼𝗿𝗶𝗲𝘀 (your journey, talks with mentors)
🎬 𝗘𝗱𝘂𝗰𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝘃𝗶𝗱𝗲𝗼𝘀 (5–10 min explainers)
📚 𝗥𝗲𝘃𝗶𝗲𝘄𝘀 (videos or articles on BRAIN papers)

🌍 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻?

✅ Get published in an international journal
✅ Receive feedback from editors & mentors
✅ Gain experience as a junior researcher
✅ Inspire others with your creativity

📩 𝗛𝗼𝘄 𝘁𝗼 𝗦𝘂𝗯𝗺𝗶𝘁

Send your manuscript or video to:
📧 [email protected]

🗓️ Deadline: December 20, 2025
📢 Notification: February 1, 2026

✨ Be part of the next generation of researchers!

BRAIN. Broad Research in Artificial Intelligence and Neuroscience is a multidisciplinary journal exploring advancements in AI and Neuroscience research.

11/09/2025

🤖 𝗖𝗹𝘂𝗷-𝗡𝗮𝗽𝗼𝗰𝗮 𝗮𝘁 𝘁𝗵𝗲 𝗙𝗼𝗿𝗲𝗳𝗿𝗼𝗻𝘁 𝗼𝗳 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗔𝗜
📍 When healthcare meets artificial intelligence, innovation becomes inevitable.
At the heart of Romania, Cluj-Napoca is producing cutting-edge research that connects machine learning, neural networks, and clinical decision-making. Two recent articles from BRAIN Journal highlight how local researchers are using simulations and predictive models to improve healthcare systems — from estimating treatment costs to optimizing patient flows in hospitals.

Let’s dive into the future of medicine. 👇

🔹 𝗡𝗲𝘂𝗿𝗮𝗹 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀 & 𝗖𝗼𝘀𝘁 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻
📝 “Performance Assessment of Neural Networks in Medical Treatment Cost Estimation”
👥 Andrea Amalia Minda – Babeș-Bolyai University Cluj-Napoca
Marius Susa – Petroleum-Gas University of Ploiești
Kristijan Cincar – West University of Timișoara
📘 Vol. 16, No. 1 Sup1, 2025
🔗 https://brain.edusoft.ro/index.php/brain/article/view/1758

💡 This study evaluates how well different neural network models can predict the cost of medical treatments, using simulated data over a 30-day period. Three AI architectures are tested:
• Feedforward Neural Network (FNN)
• Long Short-Term Memory (LSTM)
• 1D Convolutional Neural Network (1D CNN)

📊 Models are assessed using MAE, MSE, and RMSE — and 1D CNN emerges as the top performer, showing the greatest potential for real-world clinical cost predictions. The paper also showcases detailed visualizations that help medical decision-makers understand patterns and relationships in patient data.

🔍 In a field where real-world data can be limited or sensitive, simulation-based AI testing proves to be a valuable tool for advancing digital healthcare solutions.

🔹 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗛𝗼𝘀𝗽𝗶𝘁𝗮𝗹 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆
📝 “A Simulation-based Analysis Using Machine Learning Models to Optimize Patient Flow and Treatment Costs”
👥 Andrea Amalia Minda – Babeș-Bolyai University Cluj-Napoca
Kristijan Cincar – West University of Timișoara
Marija Varga – University of Novi Sad
📘 Vol. 15, No. 3, 2024
🔗 https://brain.edusoft.ro/index.php/brain/article/view/1596

🏥 This research tackles one of the most pressing issues in healthcare today: How can hospitals treat more patients with fewer resources — without compromising care?

Using discrete event simulation and machine learning algorithms (Decision Trees, Random Forests, SVM, Gradient Boosting), the team modeled a hospital’s operations over 30 days to:

• Predict treatment costs
• Estimate appointment availability
• Measure total patients treated and cumulative costs

📈 The results show how different ML models vary in efficiency and reliability, offering hospitals actionable insights to better manage resources and reduce patient wait times.

🧠 AI doesn’t just automate — it can transform healthcare strategy, logistics, and cost-effectiveness.

💡 𝗖𝗹𝘂𝗷-𝗡𝗮𝗽𝗼𝗰𝗮’𝘀 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀 𝗮𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗵𝗼𝘀𝗽𝗶𝘁𝗮𝗹 𝗼𝗳 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 — 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰, 𝗮𝗰𝗰𝘂𝗿𝗮𝘁𝗲, 𝗮𝗻𝗱 𝗔𝗜-𝗮𝘄𝗮𝗿𝗲.

11/09/2025

🧠 𝗠𝗲𝗻𝘁𝗮𝗹 𝗛𝗲𝗮𝗹𝘁𝗵 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗶𝗻 𝗖𝗹𝘂𝗷-𝗡𝗮𝗽𝗼𝗰𝗮: 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗡𝗲𝘂𝗿𝗼𝗱𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗮𝗻𝗱 𝗬𝗼𝘂𝘁𝗵 𝗧𝗿𝗮𝘂𝗺𝗮
📍 Cluj-Napoca is emerging as a leader in innovative mental health research.
Recent studies published in BRAIN Journal explore complex topics like neurodiversity and the psychological impact of war on adolescents. These contributions reveal both academic excellence and a deep concern for human vulnerability.
—
🧬 𝗡𝗲𝘂𝗿𝗼𝗱𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆: 𝗥𝗲𝗳𝗿𝗮𝗺𝗶𝗻𝗴 𝗠𝗲𝗻𝘁𝗮𝗹 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝘀
📝 “Neurodiversity and Mental Disorders”
👤 Dr. Bogdana Miclea – Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca
🔗 https://doi.org/10.18662/brain/15.2/574
🧩 The neurodiversity paradigm argues that cognitive differences like autism or ADHD are not pathologies, but natural human variations. It promotes acceptance and challenges rigid medical models.
⚠️ But Dr. Miclea urges caution. While this inclusive approach has value, it may also lead to oversimplification, ideological polarization, and new forms of social alienation.
💬 Can we balance scientific integrity with compassion? This article calls for thoughtful dialogue between neuroscience, psychiatry, and society.
—
👧🏻 𝗧𝗿𝗮𝘂𝗺𝗮 𝗶𝗻 𝗨𝗸𝗿𝗮𝗶𝗻𝗶𝗮𝗻 𝗥𝗲𝗳𝘂𝗴𝗲𝗲 𝗧𝗲𝗲𝗻𝘀
📝 “Mental Health and Psychosocial Adjustment in Ukrainian Refugee Children in Romania”
👥 Dan Octavian Rusu – Babeș-Bolyai University, Cristian Delcea – University of Medicine and Pharmacy Cluj-Napoca
🔗 https://doi.org/10.70594/brain/15.4/14
🇺🇦 Over 1.6 million Ukrainian refugees have entered Romania since 2022. Thousands are still here — many of them children.

This study follows 19 adolescents (ages 12–18) now living in Cluj-Napoca, assessing the effects of war trauma, forced migration, and cultural dislocation on their mental health and decision-making abilities.
🌍 These teens face more than emotional wounds — they also encounter language barriers, healthcare gaps, and cultural isolation that prevent proper support.
🧠 This research is a call to action — to ensure that mental health services are trauma-informed, inclusive, and accessible to those fleeing war.
—
📚 𝗥𝗲𝗮𝗹 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗳𝗿𝗼𝗺 𝗖𝗹𝘂𝗷. 𝗥𝗲𝗮𝗹 𝗶𝗺𝗽𝗮𝗰𝘁 𝗼𝗻 𝗹𝗶𝘃𝗲𝘀.
These two powerful articles show how science from Cluj-Napoca is shaping a more understanding and resilient society.

11/09/2025

𝗖𝗹𝘂𝗷-𝗡𝗮𝗽𝗼𝗰𝗮 𝗖𝗼𝗻𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝗕𝗥𝗔𝗜𝗡 𝗝𝗼𝘂𝗿𝗻𝗮𝗹: 𝗔 𝗧𝗵𝗲𝗺𝗮𝘁𝗶𝗰 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 𝗼𝗳 𝗥𝗲𝗰𝗲𝗻𝘁 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵

𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧
In recent years, Cluj-Napoca has become an increasingly active hub of academic and interdisciplinary research in Romania, particularly in fields at the intersection of neuroscience, psychology, artificial intelligence, and education. This dynamism is reflected in a series of scholarly contributions made by researchers affiliated with institutions in Cluj-Napoca, published in the international journal BRAIN. Broad Research in Artificial Intelligence and Neuroscience.

The following is a thematic overview of selected articles published between 2023 and 2025, grouped by domain, and highlighting both the academic depth and societal relevance of the topics addressed. From mental health and neurodiversity to artificial intelligence in healthcare and physical rehabilitation, these studies illustrate the diverse directions pursued by researchers from Cluj-Napoca and their collaborators.

🧠 𝐌𝐞𝐧𝐭𝐚𝐥 𝐇𝐞𝐚𝐥𝐭𝐡 𝐚𝐧𝐝 𝐏𝐬𝐲𝐜𝐡𝐨𝐬𝐨𝐜𝐢𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡
Mental health remains a central concern in today’s complex social context, especially when it comes to vulnerable populations or novel forms of counselling. Several articles authored by researchers from Cluj-Napoca offer valuable insights in this area.

🔹 “Mental Health and Psychosocial Adjustment in Ukrainian Refugee Children in Romania” (Vol. 15, No. 4, 2024) – Dan Octavian Rusu, Cristian Delcea
DOI: https://doi.org/10.70594/brain/15.4/14

🔹 “Neurodiversity and Mental Disorders” (Vol. 15, No. 2, 2024) – Bogdana Miclea
DOI: https://doi.org/10.18662/brain/15.2/574

🔹 “Resilience and Emotional Comfort in a Pandemic through Philosophical Counselling. Experimental Study” (Vol. 15, No. 1, 2024) – Adela Moldovan, Dan Gabriel Simbotin

🤖 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐢𝐧 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞
🔹 “Performance Assessment of Neural Networks in Medical Treatment Cost Estimation” (Vol. 16, No. 1 Sup1, 2025) – Andrea Amalia Minda, Marius Susa, Kristijan Cincar
🔹 “A Simulation-based Analysis Using Machine Learning Models to Optimize Patient Flow and Treatment Costs” (Vol. 15, No. 3, 2024) – Andrea Amalia Minda, Kristijan Cincar

🧍‍♂️ 𝐏𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐓𝐡𝐞𝐫𝐚𝐩𝐲 & 𝐑𝐞𝐡𝐚𝐛𝐢𝐥𝐢𝐭𝐚𝐭𝐢𝐨𝐧
🔹 “The Impact of HVLA Manipulations and Therapeutic Massage in Increasing the Mobility of the Lateral Flexion of the Neck” (Vol. 14, No. 4, 2023) – Raul-Ioan Muntean et al.

🏃‍♀️ 𝐏𝐡𝐲𝐬𝐢𝐜𝐚𝐥 𝐀𝐜𝐭𝐢𝐯𝐢𝐭𝐲 & 𝐈𝐧𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐇𝐞𝐚𝐥𝐭𝐡 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧
🔹 “The Influence of Physical Activity Regime on Body Composition among Adolescents with and without Intellectual Disabilities” (Vol. 15, No. 1, 2024) – Alexandru Rareș Puni et al.

📌 𝐂𝐨𝐧𝐜𝐥𝐮𝐬𝐢𝐨𝐧
Together, these articles demonstrate the high-level, interdisciplinary research conducted by scholars from Cluj-Napoca in recent editions of the BRAIN journal. Their contributions not only advance academic knowledge but also respond to real-world challenges — from war trauma and public health crises to technological innovation and inclusive education. 🧠📚

08/09/2025

🚀📢 𝑾𝒆 𝒂𝒓𝒆 𝒆𝒙𝒄𝒊𝒕𝒆𝒅 𝒕𝒐 𝒂𝒏𝒏𝒐𝒖𝒏𝒄𝒆 𝒕𝒉𝒆 𝒑𝒖𝒃𝒍𝒊𝒄𝒂𝒕𝒊𝒐𝒏 𝒐𝒇 𝑰𝒔𝒔𝒖𝒆 3, 𝑽𝒐𝒍𝒖𝒎𝒆 16 (𝑺𝒆𝒑𝒕𝒆𝒎𝒃𝒆𝒓 2025) 𝒐𝒇 𝑩𝑹𝑨𝑰𝑵. 𝑩𝒓𝒐𝒂𝒅 𝑹𝒆𝒔𝒆𝒂𝒓𝒄𝒉 𝒊𝒏 𝑨𝒓𝒕𝒊𝒇𝒊𝒄𝒊𝒂𝒍 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒄𝒆 𝒂𝒏𝒅 𝑵𝒆𝒖𝒓𝒐𝒔𝒄𝒊𝒆𝒏𝒄𝒆! 🧠✨

📄 This issue brings together fascinating articles on:
🤖 AI applications in medicine and beyond
🧬 Neuroscience
🧩 Psychology
💭 Psychiatry

🌍 The contributions come from an amazing international community of researchers, with a strong presence from Romania and Ukraine, and also from Lithuania, Israel, Italy, North Cyprus, Greece, United Kingdom, Mexico, Republic of Moldova, Somalia, Bulgaria, China, India, Australia, and Czech Republic.

💡 Dive into the latest insights and discoveries at the crossroads of AI, health, and human sciences!

👉 https://brain.edusoft.ro/index.php/brain/issue/view/115

07/09/2025

📢 𝐖𝐡𝐲 𝐝𝐨𝐞𝐬 𝐁𝐑𝐀𝐈𝐍. 𝐁𝐫𝐨𝐚𝐝 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐢𝐧 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐍𝐞𝐮𝐫𝐨𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐩𝐮𝐛𝐥𝐢𝐬𝐡 𝐦𝐚𝐧𝐲 𝐚𝐫𝐭𝐢𝐜𝐥𝐞𝐬 𝐚𝐮𝐭𝐡𝐨𝐫𝐞𝐝 𝐛𝐲 𝐔𝐤𝐫𝐚𝐢𝐧𝐢𝐚𝐧 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡𝐞𝐫𝐬?

It is true that our journal features a significant number of contributions from Ukraine.

👉 Ukraine is a large country, with a significant population and a strong network of high-quality universities. Ukrainian research has consistently demonstrated its great value and relevance in the international academic community.

👉 Today, while the country is at war, researchers face extraordinary challenges, yet they continue to work tirelessly. Their studies bring 𝒖𝒏𝒊𝒒𝒖𝒆 𝒊𝒏𝒔𝒊𝒈𝒉𝒕𝒔 𝒊𝒏𝒕𝒐 𝒆𝒅𝒖𝒄𝒂𝒕𝒊𝒐𝒏, 𝒑𝒔𝒚𝒄𝒉𝒐𝒍𝒐𝒈𝒚, 𝒂𝒏𝒅 𝒏𝒆𝒖𝒓𝒐𝒔𝒄𝒊𝒆𝒏𝒄𝒆 𝒖𝒏𝒅𝒆𝒓 𝒘𝒂𝒓𝒕𝒊𝒎𝒆 𝒄𝒐𝒏𝒅𝒊𝒕𝒊𝒐𝒏𝒔—topics that resonate deeply with global concerns about resilience, mental health, and adaptation to crisis.

Because BRAIN covers these areas, we are proud to publish research that documents not only academic findings but also the lived reality of people enduring constant stress: children and teachers learning under the sound of sirens, medical staff and military personnel preparing to cope with psychological strain, communities rebuilding their resilience in the face of destruction.

These studies are not just scientific contributions—they are historical testimony of resilience and survival under war.

Here are just a few of the powerful contributions we are honored to share with the scientific community:

- 𝑆𝑢𝑝𝑒𝑟𝑣𝑖𝑠𝑖𝑜𝑛 𝑖𝑛 𝐶𝑟𝑖𝑠𝑒𝑠: 𝑁𝑒𝑢𝑟𝑜𝑝𝑠𝑦𝑐ℎ𝑜𝑙𝑜𝑔𝑖𝑐𝑎𝑙 𝑆𝑢𝑝𝑝𝑜𝑟𝑡 𝑓𝑜𝑟 𝐶𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑊𝑜𝑟𝑘 𝑑𝑢𝑟𝑖𝑛𝑔 𝑊𝑎𝑟𝑡𝑖𝑚𝑒
- 𝑇ℎ𝑒 𝑅𝑜𝑙𝑒 𝑜𝑓 𝐶𝑜𝑛𝑠𝑡𝑟𝑢𝑐𝑡𝑖𝑣𝑒 𝐶𝑜𝑝𝑖𝑛𝑔 𝑆𝑡𝑟𝑎𝑡𝑒𝑔𝑖𝑒𝑠 𝑖𝑛 𝑡ℎ𝑒 𝑃𝑠𝑦𝑐ℎ𝑜𝑙𝑜𝑔𝑖𝑐𝑎𝑙 𝑊𝑒𝑙𝑙-𝑏𝑒𝑖𝑛𝑔 𝑜𝑓 𝑀𝑖𝑙𝑖𝑡𝑎𝑟𝑦 𝑃𝑒𝑟𝑠𝑜𝑛𝑛𝑒𝑙 𝑖𝑛 𝐸𝑥𝑡𝑟𝑒𝑚𝑒 𝑆𝑖𝑡𝑢𝑎𝑡𝑖𝑜𝑛𝑠
- 𝑇𝑒𝑎𝑐ℎ𝑖𝑛𝑔 𝑆𝑡𝑎𝑓𝑓’𝑠 𝑀𝑒𝑡𝑎𝑐𝑜𝑔𝑛𝑖𝑡𝑖𝑣𝑒 𝐵𝑒𝑙𝑖𝑒𝑓𝑠 𝑖𝑛 𝐶𝑜𝑝𝑖𝑛𝑔 𝑊𝑖𝑡ℎ 𝑊𝑎𝑟-𝑅𝑒𝑙𝑎𝑡𝑒𝑑 𝑆𝑡𝑟𝑒𝑠𝑠 𝑎𝑛𝑑 𝑆𝑒𝑎𝑟𝑐ℎ𝑖𝑛𝑔 𝑓𝑜𝑟 𝐼𝑛𝑡𝑒𝑟𝑛𝑎𝑙 𝑅𝑒𝑠𝑜𝑢𝑟𝑐𝑒𝑠
- 𝐷𝑖𝑔𝑖𝑡𝑎𝑙 𝑇𝑟𝑎𝑛𝑠𝑓𝑜𝑟𝑚𝑎𝑡𝑖𝑜𝑛 𝑎𝑛𝑑 𝐶𝑜𝑔𝑛𝑖𝑡𝑖𝑣𝑒 𝐶ℎ𝑎𝑙𝑙𝑒𝑛𝑔𝑒𝑠 𝑖𝑛 𝑃𝑟𝑜𝑗𝑒𝑐𝑡 𝑀𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡: 𝑁𝑎𝑣𝑖𝑔𝑎𝑡𝑖𝑛𝑔 𝐶𝑟𝑖𝑠𝑒𝑠 𝑖𝑛 𝑡ℎ𝑒 𝐼𝑛𝑓𝑜𝑟𝑚𝑎𝑡𝑖𝑜𝑛 𝑆𝑜𝑐𝑖𝑒𝑡𝑦
- 𝑇ℎ𝑒 𝑅𝑜𝑙𝑒 𝑜𝑓 𝑆𝑢𝑝𝑒𝑟𝑣𝑖𝑠𝑖𝑜𝑛 𝑓𝑜𝑟 𝑃𝑠𝑦𝑐ℎ𝑜𝑙𝑜𝑔𝑖𝑠𝑡𝑠 𝑎𝑛𝑑 𝑃𝑠𝑦𝑐ℎ𝑜𝑡ℎ𝑒𝑟𝑎𝑝𝑖𝑠𝑡𝑠 𝑖𝑛 𝑊𝑎𝑟𝑡𝑖𝑚𝑒: 𝑆𝑜𝑐𝑖𝑎𝑙 𝑎𝑛𝑑 𝐶𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝐶ℎ𝑎𝑙𝑙𝑒𝑛𝑔𝑒𝑠
- 𝐶𝑢𝑙𝑡𝑖𝑣𝑎𝑡𝑖𝑛𝑔 𝑃𝑠𝑦𝑐ℎ𝑜𝑙𝑜𝑔𝑖𝑐𝑎𝑙 𝑆𝑎𝑓𝑒𝑡𝑦 𝑑𝑢𝑟𝑖𝑛𝑔 𝐷𝑖𝑠𝑎𝑠𝑡𝑒𝑟 𝑅𝑒𝑠𝑝𝑜𝑛𝑠𝑒: 𝐸𝑛ℎ𝑎𝑛𝑐𝑖𝑛𝑔 𝑅𝑒𝑠𝑖𝑙𝑖𝑒𝑛𝑐𝑒 𝑎𝑛𝑑 𝑃𝑠𝑦𝑐ℎ𝑜𝑙𝑜𝑔𝑖𝑐𝑎𝑙 𝑅𝑒𝑐𝑜𝑣𝑒𝑟𝑦

👉 Finally, we should also note that we receive many submissions from Ukraine. Even though our peer-review process is rigorous—with an acceptance rate of only 45%—a substantial number of high-quality papers remain for publication.

💡 These articles represent not only valuable research but also a voice of resilience, courage, and scientific dedication in the face of war.

05/09/2025

𝐖𝐡𝐚𝐭 𝐂𝐚𝐧 𝐀𝐈 𝐢𝐧 𝐂𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐍𝐞𝐮𝐫𝐨𝐬𝐜𝐢𝐞𝐧𝐜𝐞 𝐃𝐨? 𝐀𝐧𝐝 𝐖𝐡𝐚𝐭 𝐒𝐡𝐨𝐮𝐥𝐝 𝐈𝐭 𝐃𝐨?

Artificial intelligence (AI) is reshaping medicine, and clinical neuroscience is one of the areas where its potential is most striking. The complexity of the human brain makes it both a challenge and an opportunity for AI-driven approaches. To understand its role, we must ask not only what AI can do but also what it should do.

𝑾𝒉𝒂𝒕 𝑨𝑰 𝑪𝒂𝒏 𝑫𝒐

AI has already proven valuable in diagnosis and prediction. Machine learning models applied to MRI, CT, and PET scans can detect subtle abnormalities that escape human observers, improving the early detection of Alzheimer’s disease and other neurodegenerative disorders (Borchert, 2023; Rudroff et al., 2024). Similarly, studies classify AI applications in neuroimaging into four main categories: detection/diagnosis, prediction, image quality enhancement, and workflow efficiency (Choi, 2022).

AI also supports personalized treatment. By integrating imaging, clinical, and genetic data, it can suggest tailored therapies, for example in epilepsy or Parkinson’s disease (Bösel, 2025; Beheshti, 2025). In rehabilitation, brain–computer interfaces and neuroprosthetics powered by AI restore some degree of motor function after injury, while wearable devices allow remote monitoring of patients (Onciul, 2025).

In research, AI enables the analysis of massive datasets to explore brain connectivity, simulate neural circuits, and identify new therapeutic targets (Badrulhisham, 2024; Tekin, 2025). As Surianarayanan (2023) notes, AI and neuroscience are mutually reinforcing: neuroscience inspires new AI methods, while AI helps decode neural processes.

𝑾𝒉𝒂𝒕 𝑨𝑰 𝑺𝒉𝒐𝒖𝒍𝒅 𝑫𝒐

Despite its technical power, AI in clinical neuroscience must be guided by ethical and practical considerations. As Ganapathy (2018) stresses, AI should not replace the clinician but act as a support tool, preserving the central role of medical expertise. Transparency is also essential: interpretable AI methods are needed so that clinicians and patients can trust the outputs (Munroe et al., 2024).

Another priority is equity of access. Bösel (2025) warns that AI risks widening healthcare inequalities if only advanced hospitals benefit. Protecting privacy and consent is equally vital, given the sensitivity of brain data (Surianarayanan, 2023). Finally, predictions such as early dementia detection are valuable only if linked to human-centered outcomes like improved care and patient autonomy (Rudroff et al., 2024).

𝑪𝒐𝒏𝒄𝒍𝒖𝒔𝒊𝒐𝒏

AI in clinical neuroscience can already advance early diagnosis, enable personalized treatments, support rehabilitation, and accelerate research. But what it should do is ensure fairness, transparency, and patient-centeredness. If implemented responsibly, AI has the potential to become one of the most powerful allies in understanding and healing the human brain.

𝑹𝒆𝒇𝒆𝒓𝒆𝒏𝒄𝒆𝒔

Badrulhisham, F. (2024). Machine learning and artificial intelligence in neuroscience. Progress in Neuro-Psychopharmacology & Biological Psychiatry.

Beheshti, I. (2025). Advances of artificial intelligence in neuroimaging. Journal of Neuroscience Research.

Bösel, J. (2025). AI and Neurology. Neurology Research and Practice.

Borchert, R. J. (2023). Artificial intelligence for diagnostic and prognostic neuroimaging in neurodegenerative disease. Alzheimer’s & Dementia.

Choi, K. S. (2022). Artificial intelligence in neuroimaging: Clinical applications. Investigative Magnetic Resonance Imaging.

Ganapathy, K. (2018). Artificial intelligence in neurosciences: A clinician’s perspective. Neurology India.

Munroe, L., et al. (2024). Applications of interpretable deep learning in neuroimaging. arXiv preprint arXiv:2406.17792.

Onciul, R. (2025). Artificial intelligence and neuroscience: Transformative applications. Journal of Clinical Medicine, 14(2), 550.

Rudroff, T., Rainio, O., & Klén, R. (2024). AI for prediction of early stages of Alzheimer’s disease from neuroimaging biomarkers. arXiv preprint arXiv:2406.17822.

Surianarayanan, C. (2023). Convergence of artificial intelligence and neuroscience. Frontiers in Computational Neuroscience.

Tekin, U. (2025). A bibliometric analysis of studies on artificial intelligence in neurosciences. Frontiers in Neurology.

05/09/2025

📌 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐀𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭 𝐨𝐟 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐢𝐧 𝐌𝐞𝐝𝐢𝐜𝐚𝐥 𝐓𝐫𝐞𝐚𝐭𝐦𝐞𝐧𝐭 𝐂𝐨𝐬𝐭 𝐄𝐬𝐭𝐢𝐦𝐚𝐭𝐢𝐨𝐧

🤖💊𝘏𝘰𝘸 𝘤𝘢𝘯 𝘈𝘳𝘵𝘪𝘧𝘪𝘤𝘪𝘢𝘭 𝘐𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘤𝘦 𝘵𝘳𝘢𝘯𝘴𝘧𝘰𝘳𝘮 𝘩𝘦𝘢𝘭𝘵𝘩𝘤𝘢𝘳𝘦 𝘤𝘰𝘴𝘵𝘴?
This new study by Kristijan Cincar, Andrea Amalia Minda, and Marius Susa explores the power of neural networks in predicting medical treatment expenses.

Using 30 days of simulated data (treatment costs, disease severity, patient waiting time), three models were tested:

🔹 Feedforward Neural Network
🔹 LSTM Neural Network
🔹 1D CNN

✅ Results: The 1D CNN model outperformed the others, showing the highest accuracy in cost prediction 📈.

📊 By applying MAE, MSE, and RMSE metrics along with detailed visualizations, the research demonstrates the potential of simulations to evaluate predictive models — especially in healthcare fields where real-world data is limited.

🚀 The findings highlight the promise of AI in optimizing clinical decision-making and resource allocation, paving the way for smarter, data-driven healthcare systems.

See full paper here: https://brain.edusoft.ro/index.php/brain/article/view/1758

05/09/2025

📌 𝐀𝐝𝐝𝐢𝐜𝐭𝐢𝐨𝐧 𝐏𝐚𝐭𝐢𝐞𝐧𝐭'𝐬 𝐑𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐬𝐡𝐢𝐩 𝐭𝐨 𝐒𝐞𝐥𝐟 𝐚𝐧𝐝 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐄𝐬𝐭𝐢𝐦𝐚𝐭𝐞𝐝 𝐇𝐨𝐬𝐩𝐢𝐭𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐃𝐮𝐫𝐚𝐭𝐢𝐨𝐧

🍷💊 Addiction is more than dependency — it deeply affects the mind, body, and quality of life. This study by researchers from “Dunărea de Jos” University of Galați investigates how self-acceptance influences hospitalization outcomes in patients struggling with chronic alcohol use and toxic-nutritional liver cirrhosis.

𝐊𝐞𝐲 𝐟𝐢𝐧𝐝𝐢𝐧𝐠𝐬:
🔹 Patients with lower unconditional self-acceptance required longer hospital stays and had more frequent admissions 🏥
🔹 Addiction is strongly tied to self-destructive behaviors, poor coping mechanisms, and psychosomatic disorders
🔹 Improving collaboration between clinicians, psychiatrists, and psychologists can reduce health costs 💰 and improve patients’ quality of life 🌱

✅ 𝐂𝐨𝐧𝐜𝐥𝐮𝐬𝐢𝐨𝐧: Strengthening self-acceptance and coping strategies is just as important as medical treatment in rehabilitation. This holistic approach can transform outcomes and restore dignity for patients on their recovery journey. 💙

See full paper here: https://brain.edusoft.ro/index.php/brain/article/view/1495