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9 September 2026
Meet Us at the 2026 2nd International Conference on Medical Robotics and Artificial Intelligence (CMRAI 2026), 16–18 October 2026, Chengdu, China
The 2026 2nd International Conference on Medical Robotics and Artificial Intelligence (CMRAI 2026) will be held at Qingshuihe Campus of the University of Electronic Science and Technology of China (UESTC), Chengdu, China, from 16 to 18 October 2026. CMRAI 2026 is jointly organized by the University of Electronic Science and Technology of China, Sichuan University, and Sichuan Robotics Engineering Society. The conference is technically sponsored by the Hong Kong Society of Mechanical Engineers, supported by Shanghai Honjo Information Technology Co., Ltd, and will receive media support from Digital Technologies Research and Applications (DTRA) and BCPMDAT.
This conference focusing on the latest research in “Medical Robotics and Artificial Intelligence” will serve as a premier platform for interdisciplinary dialogue and collaboration, bringing together leading scientists, scholars, engineers, and industry professionals. The conference aims to foster the exchange of pioneering research, novel methodologies, and visionary perspectives that are shaping the future of intelligent healthcare.
Conference Committee Chairs:
- Prof. Yifan Chen, University of Electronic Science and Technology of China, China;
- Prof. Hong Cheng, University of Electronic Science and Technology of China, China;
- Prof. Jing Zhang, Sichuan University, China.
Topics of interest include, but are not limited to, the following:
Track I: Medical Robotics and Applications
- Autonomous mobile robots;
- Hospital robots;
- Laboratory robots;
- Modular robots;
- Rehabilitation robots;
- Robotic prosthetics;
- Robotics for radiotherapy;
- Service robots;
- Social robots;
- Surgical robots/robot-assisted surgery;
- Surgical systems (CyberKnife);
- The concepts and technologies of medical robots;
- Therapeutic robots;
- Micro/nanorobotics.
Track II: AI Applications in Medicine, Health, and Care
- AI-assisted living;
- AI for well-being;
- Analytics of medical and health-related big data;
- Bioinformatics and computational biology;
- Computational behavior science;
- Computational neuroscience;
- Computer vision and natural language understanding;
- Generalist medical AI (GMAI);
- Generative AI (GAI) and its applications;
- Humanized assistant;
- Intelligent healthcare;
- Knowledge and data engineering;
- Long-term care system;
- Multi-modal human–computer interaction;
- Platform and scalability;
- Robotic intelligence.
Submission process:
Manuscripts must be submitted via the electronic submission system.
Requirements:
- Manuscripts must be written in English;
- The manuscript should be written in accordance with the standard template;
- Plagiarism is prohibited;
- Duplicate submission is also prohibited.
If you have any questions about the submission process, please feel free to contact us at info@mrai.org.
1 September 2026
MDPI INSIGHTS: The CEO’s Letter #38 – 2 Million Published Articles, Outstanding Reviewers, Michele Parrinello Award, AIS 2026 & WSF-12
Welcome to the MDPI Insights: The CEO's Letter.
In these monthly letters, I will showcase two key aspects of our work at MDPI: our commitment to empowering researchers and our determination to facilitating open scientific exchange.
Opening Thoughts

MDPI Reaches 2 million Published Articles
This month, MDPI reached an important milestone: the publication of our two-millionth article.
It is a number that would have been difficult to imagine in 1996, when MDPI’s first journal, Molecules, published its first volume of 74 papers. It took 25 years to reach our first million published articles in December 2022, and less than four years to reach the second million in August 2026.
From 74 Papers to Two Million Articles
The milestone also comes during our 30th anniversary year, providing another opportunity to reflect on how both MDPI and Open Access publishing have developed over the past three decades. Today, more than half of the world’s published research is Open Access, while MDPI has grown into a portfolio of journals supported by more than 70,000 Editorial Board Members. In 2025 alone, articles published in MDPI journals received 1.9 billion views and downloads.
While two million is an impressive number, what matters most is what sits behind it. Every article represents research conducted and shared by authors, editorial decisions made by academic editors, expertise contributed by reviewers, and the work of colleagues across MDPI supporting the publication and dissemination of research.
Many of the stories in this month’s CEO Letter reflect these communities. We recognize the contributions of the more than 209,000 reviewers who supported MDPI journals in 2025, celebrate scientific excellence through the inaugural Michele Parrinello Award, and look at how communities continue to develop through AIS 2026 and the 12th World Sustainability Forum.
“In 2025 alone, articles published in MDPI journals received 1.9 billion views and downloads”
Publishing at Scale, with Purpose
Reaching two million articles is an important milestone in MDPI’s history, but it is also a reminder of the responsibility that comes with publishing at this scale. As we look ahead, our focus remains on quality, research integrity, strong editorial standards, and providing researchers with reliable and efficient ways to share their work openly with the world.
Thank you to our authors, editors, reviewers, institutional partners, and colleagues around the world who have contributed to this journey.
Impactful Research

Recognizing Scientific Excellence: The Michele Parrinello Award
Supporting researchers means more than publishing and disseminating scientific work. It also means recognizing the researchers, editors, reviewers, and scholars whose contributions advance their fields.
I’m pleased to highlight the inaugural Michele Parrinello Award, which has been awarded to Prof. Ursula Röthlisberger of the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. Prof. Röthlisberger was recognized for her contributions to computational chemistry and molecular simulation, particularly her pioneering work in ab initio molecular dynamics and quantum mechanical/molecular mechanical (QM/MM) multiscale simulation methods.
Prof. Röthlisberger leads the Laboratory of Computational Chemistry and Biochemistry at EPFL, developing computational approaches to understand complex chemical, biological, and materials systems at the atomic level. Her work also extends to next-generation photovoltaic materials, demonstrating the interdisciplinary reach of computational science.
The Michele Parrinello Award was established in 2025 to honor Prof. Michele Parrinello's pioneering contributions to atomistic simulation and computational science. Presented biennially, it recognizes senior researchers who have made significant contributions across physics, chemistry, and materials science. The recipient receives a EUR 50,000 prize, commemorative medal, and certificate.
Awarding Scientific Excellence
The selection was overseen by an international Award Committee, chaired by Prof. Dr. Xin-Gao Gong of Fudan University and a group of researchers from institutions in China, Italy, the UK, and the USA. Nominations were evaluated based on rigor, integrity, and academic excellence. In announcing the winner, Prof. Gong highlighted the impact of Prof. Röthlisberger’s research across multiple scientific disciplines, alongside her contributions to education and leadership within the international research community.
Recognizing Contributions Across the Research Community
The Michele Parrinello Award is part of MDPI’s broader commitment to recognizing excellence across different disciplines, contributions, and career stages.
Our journal awards include:
- Best Paper Awards – recognizing outstanding published research
- Young Investigator Awards – supporting exceptional early-career researchers
- Best PhD Thesis Awards – recognizing promising emerging scholars
- Outstanding Reviewer Awards – acknowledging the essential contribution of peer reviewers
- Travel Awards – helping early-career researchers participate in international conferences
- Editor of Distinction Awards – recognizing exceptional contributions from Editorial Board Members.
Alongside these journal awards, MDPI supports flagship initiatives including the Tu Youyou Award, the World Sustainability Award, the Emerging Sustainability Leader Award, and now the Michele Parrinello Award.
Learn More:
Inside MDPI

Recognizing the People Behind Peer Review: MDPI’s 2025 Outstanding Reviewer Awards
Behind every published article is a network of people contributing their expertise to the scholarly record. Among them, reviewers play an essential role, providing independent assessment, feedback, and subject expertise that help editors make informed decisions and authors build on their research.
In 2025, more than 209,000 individuals contributed their expertise as reviewers for MDPI journals. This represents an enormous contribution of time and knowledge from researchers around the world, occurring often alongside their own research, teaching, and professional responsibilities.
I’m pleased to share the recipients of MDPI’s 2025 Outstanding Reviewer Awards, recognizing reviewers who have shown great dedication, expertise, and responsiveness throughout the peer-review process.
Outstanding Reviewers
As at July 2026, 181 MDPI journals have presented Outstanding Reviewer Awards to 412 recipients, highlighting their work across disciplines ranging from biology, chemistry, engineering, and medicine to environmental sciences, public health, and the social sciences. To learn more about the list of outstanding reviewers, please visit the following pages:
- Biology and Life Sciences;
- Business and Economics;
- Chemistry and Materials Science;
- Computer Science and Mathematics;
- Engineering;
- Environmental and Earth Sciences;
- Medicine and Pharmacology;
- Physical Sciences;
- Public Health and Healthcare;
- Social Sciences, Arts and Humanities.
While these awards highlight a select group of outstanding contributors, they also create an opportunity to acknowledge our entire reviewer community. Peer review depends on researchers sharing their knowledge and experience with others. Their feedback can improve manuscripts, support editors in making informed decisions, and contribute to maintaining the quality and integrity of the scientific record.
“Reviewers play an essential role, providing independent assessment, feedback, and subject expertise”
Supporting the Academic Community
The Outstanding Reviewer Awards are part of MDPI’s awards program, through which our journals recognize contributions across the academic community, including those from researchers, early-career scholars, reviewers, and Editorial Board Members.
Bringing these contributions to the forefront is important because much of the work that supports scholarly publishing happens behind the scenes. The time, expertise, and critical feedback provided by reviewers are essential to a rigorous and constructive peer-review process.
As MDPI celebrates its 30th anniversary, I would like to thank the more than 209,000 reviewers who contributed to our journals in 2025 and to congratulate the 412 Outstanding Reviewer Award recipients recognized for going above and beyond in supporting their respective research communities.
Coming Together for Science

AIS 2026: Growing a Community Around AI and Sensor Research
One of the most rewarding aspects of our conference program is seeing scientific communities develop over time. A conference may begin by bringing together researchers around an emerging field, but with each edition it can create new relationships, collaborations, and opportunities for researchers to reconnect and exchange ideas.
The 3rd International Conference on AI Sensors and Transducers (AIS 2026) is a good example of this growth.

“What stands out is the community developing around AIS”
This year’s conference took place from 2 to 7 August in Jeju, South Korea, welcoming over 560 participants – an increase of 225 attendees compared with 2025 and 160 compared with the inaugural conference of 2024. Across the program, participants contributed 373 presentations and 109 poster displays, including four plenary presentations, 52 keynote speeches, 192 invited talks, and 125 oral presentations.
Building an International Research Community
Beyond the numbers, what stands out is the community developing around AIS. Many researchers have now participated in all three editions of the conference, with delegates already expressing their intention to return for AIS 2027. The program also brought together established researchers from across the field for discussions on AI sensors and emerging sensing technologies.
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Building Engagement in South Korea
This year’s conference reflects our continued engagement with the research community in South Korea. AIS 2026 welcomed 150 participants from the Korean academic community and strengthened our cooperation with the Korean Sensors Society.

This is an important part of what our conferences can achieve. By bringing researchers together in person, we create opportunities to present the latest research and build relationships between scholars, institutions, societies, and at MDPI that can continue after an event concludes.
Looking Ahead
With this momentum, AIS 2027 is planned for 29 July to 3 August 2027 in Kunming, Yunnan, China, with the participation of an international group of Conference Chairs already confirmed from institutions in Europe, North America, and Asia-Pacific.
Three editions into AIS, the continued growth of this conference shows what is possible when we invest consistently in scientific communities. The objective is not simply to organize larger conferences each year but to create spaces where researchers return, new collaborations develop, and scientific communities become stronger.
Many thanks to the Conference Chairs, speakers, sponsors, supporting organizations, participants, and all MDPI colleagues who contributed to AIS 2026. Growing an international event takes years of relationship-building and considerable work behind the scenes, and this year’s conference reflects that collective effort.

Closing Thoughts

World Sustainability Forum 12: Coming Together for a More Sustainable Future
Sustainability challenges rarely sit within a single discipline, institution, or country. Addressing them requires researchers, policymakers, industry, and communities to exchange ideas and work across traditional boundaries.
This is one of the ideas behind the World Sustainability Forum (WSF), which has now reached its 12th edition.
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From 21 to 24 August, the 12th World Sustainability Forum (WSF-12) took place in Hong Kong, bringing together more than 300 experts, scholars, policymakers, and industry representatives from over 100 universities and research institutions across 53 countries and regions. The Forum received 543 abstract submissions, showcasing international interest in sustainability research.
Connecting Research, Policy, and Industry
Across four days, the scientific program featured 230 onsite presentations, including plenary, keynote, invited and oral presentations, together with 53 poster presentations. The program also included a plenary panel discussion, Connecting Sustainability Solutions Across Sectors, presenting perspectives from academia, government, and industry.
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This interdisciplinary exchange is particularly important in sustainability research. Challenges relating to our cities, environment, energy systems, economies, and societies are increasingly interconnected, and progress depends on creating opportunities for different disciplines and sectors to learn from one another.
WSF-12 also generated opportunities for industry participation. As a Strategic Partner, the China National Petroleum Corporation (CNPC) E-Light International Communication Brand contributed to industry engagement throughout the Forum.

MDPI Sustainability Foundation Awards
Another highlight of WSF-12 was the presentation of three MDPI Sustainability Foundation Awards, celebrating the 2025 and 2026 winners of the World Sustainability Award and the 2026 winner of the Emerging Sustainability Leader Award.
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Recognizing researchers and emerging leaders in their fields is an important part of supporting scientific communities. These awards are an opportunity to celebrate individual achievements and highlight research that contributes to a more sustainable future.
Looking Ahead to WSF-13
After twelve editions, WSF is a great example of how a scientific community can develop over time. This is also what we hope to achieve through MDPI’s broader conference program. Scientific meetings should be more than individual events: by investing consistently in research communities, we can create spaces where people return, new relationships develop, different perspectives meet, and collaboration continues beyond the conference itself.

The next chapter is already taking shape. The 13th World Sustainability Forum(WSF-13) will take place from 8 to 11 June 2027 in Nice, France. Chaired by Prof. Dr. Adel Ben Youssef and organized by MDPI and the journal Sustainability in collaboration with Université Côte d’Azur, WSF-13 will continue the Forum’s interdisciplinary approach across the natural sciences, engineering, and social sciences.
Thank You
Many thanks to the Conference Chairs, speakers, strategic partners, sponsors, supporting organizations, participants, and all MDPI colleagues who contributed to WSF-12. Events of this scale require considerable coordination and collaboration behind the scenes, and the continued growth of WSF reflects the collective efforts of the MDPI Conference Department and a global community committed to sustainability research, innovation, and collaboration.

Chief Executive Officer
MDPI AG
20 August 2026
Machine Learning and Knowledge Extraction | Top Cited Papers on Cybersecurity, Intrusion Detection and Digital Security
To highlight the increasing role of machine learning in protecting digital infrastructures and information systems, Machine Learning and Knowledge Extraction (MAKE, ISSN 2504-4990) presents a curated collection of top cited papers published in 2025 on AI-driven cybersecurity.
This collection covers intrusion detection, IoT security, Android malware classification, threat hunting, digital forgery detection, fingerprint presentation attack detection, and explainable intrusion detection.
The featured studies demonstrate how deep learning, transformer architectures, transfer learning, multimodal learning, and large language models are being increasingly integrated into cybersecurity systems. These works provide insights into the development of more adaptive, efficient, and intelligent approaches to detecting and responding to emerging digital threats.
1. “Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques”
by Antreas Konstantinou, Dimitrios Kasimatis, William J. Buchanan, Sana Ullah Jan, Jawad Ahmad, Ilias Politis and Nikolaos Pitropakis
Mach. Learn. Knowl. Extr. 2025, 7(2), 31; https://doi.org/10.3390/make7020031
Available online: https://www.mdpi.com/2504-4990/7/2/31
2. “Comparative Analysis of Perturbation Techniques in LIME for Intrusion Detection Enhancement”
by Mantas Bacevicius, Agne Paulauskaite-Taraseviciene, Gintare Zokaityte, Lukas Kersys and Agne Moleikaityte
Mach. Learn. Knowl. Extr. 2025, 7(1), 21; https://doi.org/10.3390/make7010021
Available online: https://www.mdpi.com/2504-4990/7/1/21
3. “Dataset Dependency in CNN-Based Copy-Move Forgery Detection: A Multi-Dataset Comparative Analysis”
by Potito Valle Dell’Olmo, Oleksandr Kuznetsov, Emanuele Frontoni, Marco Arnesano, Christian Napoli and Cristian Randieri
Mach. Learn. Knowl. Extr. 2025, 7(2), 54; https://doi.org/10.3390/make7020054
Available online: https://www.mdpi.com/2504-4990/7/2/54
4. “AI-Enabled IoT Intrusion Detection: Unified Conceptual Framework and Research Roadmap”
by Antonio Villafranca, Kyaw Min Thant, Igor Tasic and Maria-Dolores Cano
Mach. Learn. Knowl. Extr. 2025, 7(4), 115; https://doi.org/10.3390/make7040115
Available online: https://www.mdpi.com/2504-4990/7/4/115
5. “Multimodal Deep Learning for Android Malware Classification”
by James Arrowsmith, Teo Susnjak and Julian Jang-Jaccard
Mach. Learn. Knowl. Extr. 2025, 7(1), 23; https://doi.org/10.3390/make7010023
Available online: https://www.mdpi.com/2504-4990/7/1/23
6. “AE-DTNN: Autoencoder-Dense-Transformer Neural Network Model for Efficient Anomaly-Based Intrusion Detection Systems”
by Hesham Kamal and Maggie Mashaly
Mach. Learn. Knowl. Extr. 2025, 7(3), 78; https://doi.org/10.3390/make7030078
Available online: https://www.mdpi.com/2504-4990/7/3/78
7. “TL-Efficient-SE: A Transfer Learning-Based Attention-Enhanced Model for Fingerprint Liveness Detection Across Multi-Sensor Spoof Attacks”
by Archana Pallakonda, Rayappa David Amar Raj, Rama Muni Reddy Yanamala, Christian Napoli and Cristian Randieri
Mach. Learn. Knowl. Extr. 2025, 7(4), 113; https://doi.org/10.3390/make7040113
Available online: https://www.mdpi.com/2504-4990/7/4/113
20 August 2026
Machine Learning and Knowledge Extraction | Top Cited Papers on AI in Healthcare and Medical Applications
To highlight the growing impact of artificial intelligence on healthcare and biomedical research, Machine Learning and Knowledge Extraction (MAKE, ISSN 2504-4990) presents a curated collection of top cited papers published in 2025 on medical and healthcare AI.
This collection covers AI applications in intensive care, sepsis prediction, embryo selection, brain tumor classification, osteoarthritis progression, brain structure segmentation, cancer classification, and specialized healthcare language models.
The featured studies demonstrate how machine learning and deep learning are being applied across medical imaging, clinical prediction, biomedical data analysis, and healthcare decision support. These advances also highlight the importance of robust validation, multimodal data integration, interpretability, and domain-specific model development in medical AI.
1. “AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview”
by Charithea Stylianides, Andria Nicolaou, Waqar Aziz Sulaiman, Christina-Athanasia Alexandropoulou, Ilias Panagiotopoulos, Konstantina Karathanasopoulou, George Dimitrakopoulos, Styliani Kleanthous, Eleni Politi, Dimitris Ntalaperas et al.
Mach. Learn. Knowl. Extr. 2025, 7(1), 6; https://doi.org/10.3390/make7010006
Available online: https://www.mdpi.com/2504-4990/7/1/6
2. “Artificial Intelligence-Empowered Embryo Selection for IVF Applications: A Methodological Review”
by Lazaros Moysis, Lazaros Alexios Iliadis, George Vergos, Sotirios P. Sotiroudis, Achilles D. Boursianis, Achilleas Papatheodorou, Konstantinos-Iraklis D. Kokkinidis, Mohammad Abdul Matin, Panagiotis Sarigiannidis, Ilias Siniosoglou et al.
Mach. Learn. Knowl. Extr. 2025, 7(2), 56; https://doi.org/10.3390/make7020056
Available online: https://www.mdpi.com/2504-4990/7/2/56
3. “Simulated Annealing-Based Hyperparameter Optimization of a Convolutional Neural Network for MRI Brain Tumor Classification”
by Sofia El Amoury, Youssef Smili and Youssef Fakhri
Mach. Learn. Knowl. Extr. 2025, 7(2), 50; https://doi.org/10.3390/make7020050
Available online: https://www.mdpi.com/2504-4990/7/2/50
4. “A Novel Approach Based on Hypergraph Convolutional Neural Networks for Cartilage Shape Description and Longitudinal Prediction of Knee Osteoarthritis Progression”
by John B. Theocharis, Christos G. Chadoulos and Andreas L. Symeonidis
Mach. Learn. Knowl. Extr. 2025, 7(2), 40; https://doi.org/10.3390/make7020040
Available online: https://www.mdpi.com/2504-4990/7/2/40
5. “A Comparison Between Unimodal and Multimodal Segmentation Models for Deep Brain Structures from T1-and T2-Weighted MRI”
by Nicola Altini, Erica Lasaracina, Francesca Galeone, Michela Prunella, Vladimiro Suglia, Leonarda Carnimeo, Vito Triggiani, Daniele Ranieri, Gioacchino Brunetti and Vitoantonio Bevilacqua
Mach. Learn. Knowl. Extr. 2025, 7(3), 84; https://doi.org/10.3390/make7030084
Available online: https://www.mdpi.com/2504-4990/7/3/84
6. “Enhancing Cancer Classification from RNA Sequencing Data Using Deep Learning and Explainable AI”
by Haseeb Younis and Rosane Minghim
Mach. Learn. Knowl. Extr. 2025, 7(4), 114; https://doi.org/10.3390/make7040114
Available online: https://www.mdpi.com/2504-4990/7/4/114
7. “Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare”
by Lovedeep Gondara, Jonathan Simkin, Graham Sayle, Shebnum Devji, Gregory Arbour and Raymond Ng
Mach. Learn. Knowl. Extr. 2025, 7(4), 121; https://doi.org/10.3390/make7040121
Available online: https://www.mdpi.com/2504-4990/7/4/121
8. “Automatic Prompt Generation Using Class Activation Maps for Foundational Models: A Polyp Segmentation Case Study”
by Hanna Borgli, Håkon Kvale Stensland and Pål Halvorsen
Mach. Learn. Knowl. Extr. 2025, 7(1), 22; https://doi.org/10.3390/make7010022
Available online: https://www.mdpi.com/2504-4990/7/1/22
17 August 2026
Machine Learning and Knowledge Extraction | Top Cited Papers on Large Language Models, Knowledge Graphs and Knowledge Extraction
To highlight the rapid evolution of large language models and knowledge-centric artificial intelligence, Machine Learning and Knowledge Extraction (MAKE, ISSN 2504-4990) presents a curated collection of ten top cited papers published in 2025 on LLMs, knowledge graphs, and knowledge extraction.
This collection covers large language models, retrieval-augmented generation, domain-specific fine-tuning, knowledge graph engineering, natural-language-to-SPARQL generation, semantic analysis, automated knowledge extraction, question answering, and transformer-based language understanding.
The featured studies demonstrate an important shift from general-purpose language models toward knowledge-grounded, domain-specific, and structured AI systems. By connecting language models with knowledge graphs, scientific literature, technical documents, and specialized domains, these studies explore new ways of extracting, representing, reasoning over, and communicating knowledge.
1. “Knowledge Graphs and Their Reciprocal Relationship with Large Language Models”
by Ramandeep Singh Dehal, Mehak Sharma and Enayat Rajabi
Mach. Learn. Knowl. Extr. 2025, 7(2), 38; https://doi.org/10.3390/make7020038
Available online: https://www.mdpi.com/2504-4990/7/2/38
2. “Investigating the Performance of Retrieval-Augmented Generation and Domain-Specific Fine-Tuning for the Development of AI-Driven Knowledge-Based Systems”
by Róbert Lakatos, Péter Pollner, András Hajdu and Tamás Joó
Mach. Learn. Knowl. Extr. 2025, 7(1), 15; https://doi.org/10.3390/make7010015
Available online: https://www.mdpi.com/2504-4990/7/1/15
3. “A Review of Large Language Models for Automated Test Case Generation”
by Arda Celik and Qusay H. Mahmoud
Mach. Learn. Knowl. Extr. 2025, 7(3), 97; https://doi.org/10.3390/make7030097
Available online: https://www.mdpi.com/2504-4990/7/3/97
4. “Leveraging LLMs for Non-Security Experts in Threat Hunting: Detecting Living off the Land Techniques”
by Antreas Konstantinou, Dimitrios Kasimatis, William J. Buchanan, Sana Ullah Jan, Jawad Ahmad, Ilias Politis and Nikolaos Pitropakis
Mach. Learn. Knowl. Extr. 2025, 7(2), 31; https://doi.org/10.3390/make7020031
Available online: https://www.mdpi.com/2504-4990/7/2/31
5. “PIDQA-Question Answering on Piping and Instrumentation Diagrams”
by Mohit Gupta, Chialing Wei, Thomas Czerniawski and Ricardo Eiris
Mach. Learn. Knowl. Extr. 2025, 7(2), 39; https://doi.org/10.3390/make7020039
Available online: https://www.mdpi.com/2504-4990/7/2/39
6. “Leveraging LLMs for Automated Extraction and Structuring of Educational Concepts and Relationships”
by Tianyuan Yang, Baofeng Ren, Chenghao Gu, Tianjia He, Boxuan Ma and Shin’ichi Konomi
Mach. Learn. Knowl. Extr. 2025, 7(3), 103; https://doi.org/10.3390/make7030103
Available online: https://www.mdpi.com/2504-4990/7/3/103
7. “Machine Learning-Based Semantic Analysis of Scientific Publications for Knowledge Extraction in Safety-Critical Domains”
by Pavlo Nosov, Oleksiy Melnyk, Mykola Malaksiano, Pavlo Mamenko, Dmytro Onyshko, Oleksij Fomin, Václav Píštěk and Pavel Kučera
Mach. Learn. Knowl. Extr. 2025, 7(4), 150; https://doi.org/10.3390/make7040150
Available online: https://www.mdpi.com/2504-4990/7/4/150
8. “Unsupervised Word Sense Disambiguation Using Transformer's Attention Mechanism”
by Radu Ion, Vasile Păiș, Verginica Barbu Mititelu, Elena Irimia, Maria Mitrofan, Valentin Badea and Dan Tufiș
Mach. Learn. Knowl. Extr. 2025, 7(1), 10; https://doi.org/10.3390/make7010010
Available online: https://www.mdpi.com/2504-4990/7/1/10
9. “Context-Aware Few-Shot Learning SPARQL Query Generation from Natural Language on an Aviation Knowledge Graph”
by Ines-Virginia Hernandez-Camero, Eva Garcia-Lopez, Antonio Garcia-Cabot and Sergio Caro-Alvaro
Mach. Learn. Knowl. Extr. 2025, 7(2), 52; https://doi.org/10.3390/make7020052
Available online: https://www.mdpi.com/2504-4990/7/2/52
10. “Stitching History into Semantics: LLM-Supported Knowledge Graph Engineering for 19th-Century Greek Bookbinding”
by Dimitrios Doumanas, Efthalia Ntalouka, Costas Vassilakis, Manolis Wallace and Konstantinos Kotis
Mach. Learn. Knowl. Extr. 2025, 7(3), 59; https://doi.org/10.3390/make7030059
Available online: https://www.mdpi.com/2504-4990/7/3/59
11. “A Comparative Analysis of European Media Coverage of the Israel-Gaza War Using Hesitant Fuzzy Linguistic Term Sets”
by Walaa Abuasaker, Mónica Sánchez, Jennifer Nguyen, Nil Agell, Núria Agell and Francisco J. Ruiz
Mach. Learn. Knowl. Extr. 2025, 7(1), 8; https://doi.org/10.3390/make7010008
Available online: https://www.mdpi.com/2504-4990/7/1/8
17 August 2026
Machine Learning and Knowledge Extraction | Top Cited Papers on Explainable, Trustworthy and Responsible AI
To highlight the growing importance of transparent, interpretable, and responsible artificial intelligence, Machine Learning and Knowledge Extraction (MAKE, ISSN 2504-4990) presents a curated collection of eight top cited papers on explainable and trustworthy AI published in 2025.
This collection covers explainable AI, model interpretability, feature selection, perturbation-based explanations, explainability method selection, responsible AI development, and human-centered evaluation. The featured studies investigate how machine learning systems can become more transparent, understandable, and accountable across applications including healthcare, cybersecurity, education, and energy forecasting.
Together, these studies reflect the growing recognition that high-performing AI systems should not only be accurate, but also interpretable, reliable, and aligned with human needs. We hope this selection provides insights into emerging approaches for the building of more transparent and responsible intelligent systems.
1. “Advancing AI Interpretability in Medical Imaging: A Comparative Analysis of Pixel-Level Interpretability and Grad-CAM Models”
by Mohammad Ennab and Hamid Mcheick
Mach. Learn. Knowl. Extr. 2025, 7(1), 12; https://doi.org/10.3390/make7010012
Available online: https://www.mdpi.com/2504-4990/7/1/12
2. “A Four-Dimensional Analysis of Explainable AI in Energy Forecasting: A Domain-Specific Systematic Review”
by Vahid Arabzadeh and Raphael Frank
Mach. Learn. Knowl. Extr. 2025, 7(4), 153; https://doi.org/10.3390/make7040153
Available online: https://www.mdpi.com/2504-4990/7/4/153
3. “A Multi-Criteria Decision-Making Approach for the Selection of Explainable AI Methods”
by Miroslava Matejová and Ján Paralič
Mach. Learn. Knowl. Extr. 2025, 7(4), 158; https://doi.org/10.3390/make7040158
Available online: https://www.mdpi.com/2504-4990/7/4/158
4. “Quantifying Interdisciplinarity in Scientific Articles Using Deep Learning Toward a TRIZ-Based Framework for Cross-Disciplinary Innovation”
by Nicolas Douard, Ahmed Samet, George Giakos and Denis Cavallucci
Mach. Learn. Knowl. Extr. 2025, 7(1), 7; https://doi.org/10.3390/make7010007
Available online: https://www.mdpi.com/2504-4990/7/1/7
5. “Behind the Algorithm: International Insights into Data-Driven AI Model Development”
by Limor Ziv and Maayan Nakash
Mach. Learn. Knowl. Extr. 2025, 7(4), 122; https://doi.org/10.3390/make7040122
Available online: https://www.mdpi.com/2504-4990/7/4/122
6. “ExShall-CNN: An Explainable Shallow Convolutional Neural Network for Medical Image Segmentation”
by Vahid Khalkhali, Sayed Mehedi Azim and Iman Dehzangi
Mach. Learn. Knowl. Extr. 2025, 7(1), 19; https://doi.org/10.3390/make7010019
Available online: https://www.mdpi.com/2504-4990/7/1/19
7. “Optimisation-Based Feature Selection for Regression Neural Networks Towards Explainability”
by Georgios I. Liapis, Sophia Tsoka and Lazaros G. Papageorgiou
Mach. Learn. Knowl. Extr. 2025, 7(2), 33; https://doi.org/10.3390/make7020033
Available online: https://www.mdpi.com/2504-4990/7/2/33
8. “Automated Grading Through Contrastive Learning: A Gradient Analysis and Feature Ablation Approach”
by Mateo Sokač, Mario Fabijanić, Igor Mekterović and Leo Mršić
Mach. Learn. Knowl. Extr. 2025, 7(2), 41; https://doi.org/10.3390/make7020041
Available online: https://www.mdpi.com/2504-4990/7/2/41
6 August 2026
The 21st International Workshop on Smart Media Adaptation, AI and Personalization (SMAP 2026), 19–20 November 2026
The 21st International Workshop on Smart Media Adaptation, AI and Personalization (SMAP 2026) will take place in a hybrid format in Mystras, Greece, from 19 to 20 November 2026, with technical co-sponsorship by the IEEE Computational Intelligence Society (CIS).
SMAP 2026 brings together leading international researchers and professionals from the artificial intelligence, machine learning, semantic web, and social media communities. The event focuses on exploring state-of-the-art advances in smart media systems, user modeling, generative AI, and advanced content personalization.
Key dates:
Paper submission deadline (last call): 28 August 2026;
Notification of acceptance: 1 September 2026;
Camera-ready & early registration: 15 September 2026;
Workshop dates: 19–20 November 2026.
The workshop offers both in-person attendance in Mystras and a virtual MS Teams presentation option for remote participants.
5 August 2026
MDPI INSIGHTS: The CEO’s Letter #37 – Canada Summit, Sciforum Relaunch, 30 Years of Impactful Research & ISPRS 2026
Welcome to the MDPI Insights: The CEO's Letter.
In these monthly letters, I will showcase two key aspects of our work at MDPI: our commitment to empowering researchers and our determination to facilitating open scientific exchange.
Opening Thoughts

Reflections from the MDPI Canada Summit 2026 in Toronto (9–10 July)
As part of this year’s MDPI Summit events, we were delighted to host Editors-in-Chief (EiCs) and Editorial Board Members (EBMs) in Toronto for the MDPI Canada Summit 2026 this July.
Across the two days, we presented on topics including research integrity, editorial leadership, artificial intelligence, peer review, and the evolving role of the EiC. More importantly, the Summit created space for feedback and conversations with the academic community: these engagements continue play and important role in shaping how MDPI develops its journals and services.
Why Canada?
Canada has become one of the world’s leading Open Access (OA) nations. In 2025, 68% of Canadian research publications were published OA, with more than 73,000 OA articles produced during the year. Over the past five years alone, Canadian researchers have published more than 526,000 scholarly articles, showing both the scale and quality of Canadian research.
MDPI Toronto Office

“Canada has become one of the world’s leading Open Access nations”
Since opening in 2019, our Toronto office has grown to more than 85 colleagues supporting editorial operations, research integrity, marketing, societies, conferences, indexing, author services, and many other functions across North America. It was great to spend time with the team, see first-hand the energy and enthusiasm they bring to their work, and recognize the significant role they play in building relationships with the Canadian research community and delivering events such as this Summit.
MDPI and Canada
Today, Canada is an important part of the MDPI community:
- More than 53,800 articles from Canadian institutions published with MDPI since 1996
- More than 5,800 MDPI publications from Canadian researchers in 2025
- Nearly 1,900 Canadian Editorial Board Members, including 24 Editors-in-Chief; 49 Section Editors-in-Chief
- More than 30 Institutional Open Access Partnerships (IOAP) with universities across Canada

“The academic community is at the center of everything we do”
These numbers reflect the long-term partnerships with researchers, reviewers, editors, and institutions who continue to place their trust in MDPI.
Summit Program
Throughout the Summit, we presented and discussed topics against the following agenda:
- MDPI at 30: Introduction, Reflections and the Road Ahead – Stefan Tochev (CEO)
- Engagement with Academic Community and Society Partnerships – Karen Irwin (Associate Editorial Engagement Manager) and Carla Aloè (Head of Societies and Acquisition)
- Latest Developments in the Editorial Process – Summer Huggard (Operations Manager)
- Research Integrity and Publication Ethics – Renato Merki (Research Integrity Specialist)
- AI and Technology in Publishing – Dr. Barnaby Crook (Regional Engagement Editor)
- Panel Discussion – Bob Vrooman (Head of Business Development / Operations Manager, USA), Summer Huggard, Renato Merki, and myself

These presentations reinforce something we often say at MDPI: The academic community is at the center of everything we do. Each session concluded with a Q&A, allowing for discussions throughout the Summit to engage directly with our EiCs and EBMs.
Further Reading
I also had the opportunity to be interviewed by University Affairs about the evolving landscape of scholarly publishing, Open Access, and the importance of engaging with the research community. If you’re interested, you can read the interview in:
- English: University Affairs – MDPI Toronto Summit 2026: Bringing Together Leaders to Shape the Future of Scholarly Publishing
- Français: Affaires universitaires – Sommet MDPI de Toronto 2026
Thank You
As OA continues to grow around the world, events such as the MDPI Canada Summit remind us of the importance of meeting with our academic community in person. Listening to feedback, exchanging ideas, and building relationships are essential to ensuring that MDPI continues to evolve alongside the researchers, editors, reviewers, and institutions we serve.

Impactful Research

Five Journals, Five Different Stories of Success
Each year, the release of the Journal Citation Reports (JCR) provides an opportunity to look at the progress of our journal portfolio and, more importantly, the achievements of the research communities behind it.
A recent MDPI Blog article from Tommy Lax (Content Specialist, MDPI) highlights five journals whose 2025 Journal Impact Factor results show that success can take many forms – from achieving a first Impact Factor, to steady long-term growth, to leadership within highly competitive disciplines.
The featured journals include:
- Machine Learning & Knowledge Extraction (MAKE) – Among the 330 MDPI journals which received an Impact Factor in 2025, MAKE (ISSN 2504-4990) holds the accolade of having the highest rating of 8.4. The journal, which provides an advanced forum for the study of machine learning and its applications, is placed in Q1 for three subject categories: Computer science, artificial intelligence; Computer science, interdisciplinary applications; and Engineering, electrical & electronic.
- Antioxidants – Continuing its strong position across multiple scientific disciplines, Antioxidants (ISSN 2076-3921) was awarded an exceptional Impact Factor of 8.2. In addition, the journal was placed in Q1 in three subject categories: Biochemistry & molecular biology; Chemistry, medicinal; and Food science & technology.
- Biomass – This year, Biomass (ISSN 2673-8783) was recognized in the JCR for the first time, with a strong debut Impact Factor of 6.7. What makes this achievement even more impressive is the journal’s placement in Q1 of the category Engineering, chemical.
- Analytica – Remaining with the theme of growth, Analytica (ISSN 2673-4532), which provides an advanced forum for all aspects of fundamental and applied analytical chemistry, recorded one of the largest year-on-year increases in Journal Impact Factor, with a 7.4 – an astounding 3.8-point increase from its 2024 rating of 3.6.
- Batteries – Indexed in SCIE, Batteries (ISSN 2313-0105) received an updated Impact Factor of 6.3 this year, representing an increase of 1.5 versus last year, demonstrating consistent growth and increasing visibility over several years.
While citation metrics provide one perspective on journal performance, they tell only part of the story. Every milestone reflects the dedication of Editors-in-Chief, Editorial Board Members, reviewers, authors, and colleagues across MDPI who work together to uphold rigorous editorial standards and support high-quality research.
As a signatory of the Declaration on Research Assessment (DORA), MDPI supports a balanced approach to research evaluation. Journal-level metrics should be viewed alongside article-level indicators and the broader scientific and societal impact of published research.
Thank you to everyone whose commitment continues to strengthen our journals and advance Open Access across the global research community.
Inside MDPI

Building Better Tools for the Research Community: The Relaunch of Sciforum
Innovation at MDPI extends beyond journals. Over the past decade, we have continued to invest in products that support researchers, conference organizers, editors, reviewers, and institutions throughout the research lifecycle. As part of this ongoing investment, our Product and Engineering teams have been modernizing several of MDPI’s digital platforms. One important milestone in that journey is the relaunch of Sciforum, our conference management platform.
Read More: Sciforum Relaunch: Empowering Science through Seamless Event Management
Rather than simply updating an existing system, our product and engineering teams have rebuilt Sciforum, using a modern architecture designed to improve the user experience, support future growth, and continue to strengthen our position in the conference management market.
“Scalable technology is essential to delivering a high-quality experience”
Why We Rebuilt Sciforum
Technology must continue evolving alongside the needs of our users. The previous platform had served MDPI well for many years but had become difficult to extend and maintain. The new platform introduces a modular architecture that enables faster development, more flexibility, and a scalable foundation for future work.
Major improvements include:
- Simplified submission workflows
- Role-based dashboards
- A modern website builder
- Flexible pricing options
- Permanent data hosting
- A scalable architecture for future development

Supporting Our Conference Community
Sciforum is more than a software platform: it supports researchers, conference organizers, reviewers, speakers, and attendees by helping them organize, participate in, and share scientific meetings more efficiently. As MDPI continues to expand its conference activities worldwide, investing in modern, scalable technology is essential to delivering a high-quality experience for both our external partners and our internal teams.
Looking Ahead
The relaunch represents the beginning Sciforum’s next chapter. Planned improvements include: the Program Builder, Communication Hub, expanded payment options, Zoom integration, and a mobile application. These will continue to enhance the platform over the coming months.
Coming Together for Science

Highlights from ISPRS Congress 2026 – Toronto, Canada
In early July, I had the pleasure of attending the XXV ISPRS Congress in Toronto, one of the world’s leading gatherings for the geospatial and remote sensing research community. It was a great opportunity to meet researchers, editors, society leaders, and collaborators, while gaining insights into some of the latest developments in geospatial science and technology.
Over several days, I had the privilege of presenting the Jack Dangermond Award; speaking about MDPI’s approach to AI in publishing and our 30-year journey in Open Access publishing; participating in Editorial Board meetings; and engaging with members of the ISPRS community.
Below is a summary of these activities:
Celebrating excellence in research
One of the highlights of the week was presenting the Jack Dangermond Award for the best paper published in the ISPRS International Journal of Geo-Information (IJGI). Sponsored by MDPI and ESRI, the award recognizes an outstanding paper published over a four-year period and includes an ISPRS certificate together with a USD 10,000 prize.

Awards such as these remind us that journals are much more than publication platforms: they celebrate research that advances knowledge, inspires future work, and delivers meaningful impact for both science and society.
Presentations at ISPRS
I also had the pleasure to give two presentations during the congress:

1. The AI Revolution in Publishing: Challenges, Innovations, and MDPI’s Vision
The development of AI continues to transform scholarly publishing. During this session, I shared how MDPI is integrating AI responsibly, not to replace editorial judgement or peer review, but to support our staff by improving efficiency while maintaining scientific quality and research integrity.
2. MDPI: 30 Years of Open Access Publishing
I also had the opportunity to share MDP’s 30-year journey from a small publishing initiative to becoming a global Open Access publisher serving millions of researchers worldwide. As part of this session, my colleague Carla Aloè (Head of Societies and Acquisitions) introduced the ISPRS International Journal of Geo-Information (IJGI), sharing its development and contribution to the geospatial research community.

Meeting with Our Editorial Boards
Another rewarding aspect of the congress was meeting with the Editorial Boards of two of our journals:
- Remote Sensing
- ISPRS International Journal of Geo-Information
These discussions went beyond journal metrics. We heard ideas about editorial quality and emerging research areas, and we discussed reviewer engagement, diversity within editorial boards, and how journals can continue serving their communities for the future. These conversations are a great way to connect directly to the scientists who help shape our journals.


“One of our core missions has always been to make high-quality research openly accessible”
Partnerships matter
Scientific publishing is built on collaboration. Throughout the congress, our team welcomed researchers to the MDPI booth, met with authors and editors, and discussed opportunities for collaboration across our journals and society partnerships.
Special thanks to our MDPI colleagues who were present throughout the ISPRS congress supporting our Editorial Board meetings and the MDPI booth: Andy Tran, Carla Aloè, Carlo Cunanan, Diana Ribeiro Tosato, and Elena Duan.

Thank you to ISPRS for organizing this congress, to the researchers who shared their work, to our Editorial Board members, and to MDPI colleagues whose dedication continues to shape the journals and communities we support.
Closing Thoughts

Insights Into 30 Years of Impactful MDPI Research
As we celebrate 30 years of MDPI, it’s worth reflecting on the impact that the research we publish has on society. One of our core missions has always been to make high-quality research openly accessible so that it can inform new discoveries, public policy, education and innovation around the world.
A recent article on the MDPI Blog highlights several examples of MDPI publications that have gone beyond academic citations to help inform governments, international organizations and public policy discussions.
Research Creating Real-World Impact
The MDPI blog article features research that has contributed to topics including:
- protecting the Amazon rainforest through satellite mapping
- understanding climate change and urban heat inequality
- encouraging more young women to pursue STEM careers
- tackling obesity through healthier food environments
- shaping sustainable urban planning through the “15-minute city” concept
These examples remind us that publishing research is not only about producing articles: it is about helping knowledge reach the people who can use it to improve lives and address global challenges.
Thirty Years of Open Access
MDPI’s 30th Anniversary is also an opportunity to recognize the collective contribution of everyone across MDPI. Every manuscript processed, every review coordinated, every system developed, every conference organized, every partnership established and every article published contributes to a much larger purpose: helping scientific knowledge move further and faster.
You can explore the full article here: 30 Years of Impactful MDPI Research
You can also visit our 30th Anniversary page to learn more about MDPI’s journey over the past three decades.
Chief Executive Officer
MDPI AG
4 August 2026
Meet Us at ECML PKDD 2026, 7–11 September 2026, Naples, Italy
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) is the flagship European machine learning and data mining conference, attracting a worldwide audience. The conference program includes presentations of peer-reviewed research, invited talks by leaders in the field, a wide program of workshops and tutorials, poster sessions, a discovery challenge, a demo track, an applied data science track, an industry track and a PhD forum.
Topics include the following:
- Advances in machine learning theory and algorithms, including deep learning, probabilistic modeling, and reinforcement learning;
- Knowledge discovery and data mining methodologies, covering pattern mining, graph analytics, and large-scale data processing;
- Trustworthy and responsible AI, with emphasis on fairness, interpretability, privacy, and robustness;
- Applied data science and domain-driven discovery, featuring real-world case studies in industry, health, sustainability, and the physical sciences;
- Emerging frontiers, such as foundation models, generative AI, multi-modal learning, and automated machine learning (AutoML).
MDPI will be attending the conference as an exhibitor; we welcome researchers from different backgrounds to visit and share their latest ideas with us.
The following MDPI journals will be represented:
- Data;
- MAKE;
- AI;
- Analytics;
- Remote Sensing;
- BDCC;
- Information;
- Computers;
- Knowledge;
- Future Internet;
- Technologies;
- JCP;
- Algorithms;
- Digital.
If you are planning to attend the above conference, we encourage you to visit our booth and speak to our representatives. We are eager to meet you in person and assist you with any queries that you may have. For more information about the conference, please visit the official website at https://ecmlpkdd.org/2026/.
8 July 2026
MDPI’s Newly Launched Journals in June 2026
Our portfolio of journals available for publishing up-to-date research in immediate open access format has been further expanded. In June 2026, eleven new journals released their inaugural issues and two transferred journals released their first issue as part of MDPI, covering the subjects of environmental & earth sciences, chemistry & materials science, public health & healthcare, engineering, medicine & pharmacology, and biology & life sciences.
We extend our gratitude to the Editors-in-Chief, Associate Editors, and Editorial Board Members who will shape the future course of these new journals. Each journal is dedicated to upholding strong editorial standards through a thorough peer review process, enabling impactful open access scholarship.
Please feel free to browse and discover more about the new journals below.
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New Journals |
Founding Editor(s)-in-Chief |
Journal Topics (Selected) |
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Prof. Dr. Xiaochuan Pan, Peking University, China |
public health research, practice, policy, and education; eco-health equity | |
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Prof. Dr. Xin-Gao Gong Fudan University, China; Prof. Dr. Zhimei Sun Beihang University, China |
AI-enhanced theory & simulation; generative design & discovery; autonomous experimentation; AI for characterization; large language models and agents | |
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Prof. Dr. Yong Liu, Wuhan University, China |
hydropower technology; renewable energy; water resources; optimization; rock and soil mechanics; power system stability | |
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Prof. Dr. Giovanni Rezza, University Vita-Salute San Raffaele, Italy |
pandemic preparedness; public health; global outbreak dynamics and epidemiology; outbreak prediction and risk forecasting; one health approach; zoonotic and pre-pandemic vaccines | |
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Prof. Dr. Brian Horton, University of Texas at Austin, USA |
stratigraphy; sedimentology; earth surface processes; basin evolution and tectonics; climate and paleoclimate | |
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Prof. Dr. Yike Guo, Hong Kong University of Science and Technology, China |
artificial intelligence (AI); application of AI to engineering; Explainable AI (XAI); AI-driven design and optimization; AI for manufacturing and automation | view journal scope | submit an article |
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Prof. Dr. Hei Wong, City University of Hong Kong, China |
novel semiconductor materials; advanced heterogeneous integration technologies; advanced characterization and testing techniques; heterogeneously integrated systems and applications; modeling and design automation| |
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Prof. Dr. Michail Panagiotidis, Mississippi State University, USA |
plant-based medicines; natural products-based drug discovery; plant-based bioactive compounds; pharmacognosy; phytochemicals; pharmacokinetics | |
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Prof. Dr. Khalid Meksem, Southern Illinois University, USA |
genome biotechnology; applied genomics; genetic engineering; agricultural biotechnology; medical biotechnology; data science and AI| |
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Dr. Chenxi Wu, Chinese Academy of Sciences, China |
environmental cleanup; ecological restoration; environmental management and governance; environmental modeling and monitoring | |
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Prof. Dr. Janusz Kozinski, Lakehead University, Canada |
renewable energy; sustainable agriculture; green innovation; climate change; artificial intelligence and environmental sustainability | |
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Transferred Journals |
Editor(s)-in-Chief |
Journal Topics (Selected) |
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Prof. Dr. Thomas Frese, Martin-Universität Halle-Wittenberg, Germany |
health services in primary care; integrated care models; quality and safety of care; coordination across primary and secondary care services; patient management; primary care clinical practice and interventions; clinical interventions delivered in primary care settings; |
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Prof. Dr. Paul Gerson Unschuld, Geneva University Hospitals (HUG), Switzerland |
neurology, psychiatry, psychotherapy, and the neurosciences | |
We would like to thank everyone who has supported the development of open access publishing. If you would like to create a new journal, you are welcome to send an application here or contact the New Journal Committee (newjournal-committee@mdpi.com).





















