Announcements

1. “Recent Advances in Si-Compatible Nanostructured Photodetectors”
by Rahaf Douhan, Kirill Lozovoy, Andrey Kokhanenko, Hazem Deeb, Vladimir Dirko and Kristina Khomyakova
Technologies 2023, 11(1), 17; https://doi.org/10.3390/technologies11010017
Available online: https://www.mdpi.com/2227-7080/11/1/17

2. “PHB/PEG Nanofiber Mat Obtained by Electrospinning and Their Performances”
by Nguyen Hong Thanh, Roman Olekhnovich, Vera Sitnikova, Arina Kremleva, Petr Snetkov and Mayya Uspenskaya
Technologies 2023, 11(2), 48; https://doi.org/10.3390/technologies11020048
Available online: https://www.mdpi.com/2227-7080/11/2/48

3. “Advancements in Doping Strategies for Enhanced Photocatalysts and Adsorbents in Environmental Remediation”
by Pramita Sen, Praneel Bhattacharya, Gargi Mukherjee, Jumasri Ganguly, Berochan Marik, Devyani Thapliyal, Sarojini Verma, George D. Verros, Manvendra Singh Chauhan and Raj Kumar Arya
Technologies 2023, 11(5), 144; https://doi.org/10.3390/technologies11050144
Available online: https://www.mdpi.com/2227-7080/11/5/144

4. “Green Electrospun Nanofibers for Biomedicine and Biotechnology”
by Elyor Berdimurodov, Omar Dagdag, Khasan Berdimuradov, Wan Mohd Norsani Wan Nik, Ilyos Eliboev, Mansur Ashirov, Sherzod Niyozkulov, Muslum Demir, Chinmurot Yodgorov and Nizomiddin Aliev
Technologies 2023, 11(5), 150; https://doi.org/10.3390/technologies11050150
Available online: https://www.mdpi.com/2227-7080/11/5/150

5. “Comparison of Shallow (−20 °C) and Deep Cryogenic Treatment (−196 °C) to Enhance the Properties of a Mg/2wt.%CeO₂ Nanocomposite”
by Shwetabh Gupta, Gururaj Parande and Manoj Gupta
Technologies 2024, 12(2), 14; https://doi.org/10.3390/technologies12020014
Available online: https://www.mdpi.com/2227-7080/12/2/14

6. “Nano-Level Additive Manufacturing: Condensed Review of Processes, Materials, and Industrial Applications”
by Ismail Fidan, Mohammad Alshaikh Ali, Vivekanand Naikwadi, Shamil Gudavasov, Mushfig Mahmudov, Mahdi Mohammadizadeh, Zhicheng Zhang and Ankit Sharma
Technologies 2024, 12(7), 117; https://doi.org/10.3390/technologies12070117
Available online: https://www.mdpi.com/2227-7080/12/7/117

1. “How to Bell the Cat? A Theoretical Review of Generative Artificial Intelligence towards Digital Disruption in All Walks of Life”
by Subhra Mondal, Subhankar Das and Vasiliki G. Vrana
Technologies 2023, 11(2), 44; https://doi.org/10.3390/technologies11020044
Available online: https://www.mdpi.com/2227-7080/11/2/44

2. “Efficient Deep Learning-Based Data-Centric Approach for Autism Spectrum Disorder Diagnosis from Facial Images Using Explainable AI”
by Mohammad Shafiul Alam, Muhammad Mahbubur Rashid, Ahmed Rimaz Faizabadi, Hasan Firdaus Mohd Zaki, Tasfiq E. Alam, Md Shahin Ali, Kishor Datta Gupta and Md Manjurul Ahsan
Technologies 2023, 11(5), 115; https://doi.org/10.3390/technologies11050115
Available online: https://www.mdpi.com/2227-7080/11/5/115

3. “Converging Artificial Intelligence and Quantum Technologies: Accelerated Growth Effects in Technological Evolution”
by Mario Coccia
Technologies 2024, 12(5), 66; https://doi.org/10.3390/technologies12050066
Available online: https://www.mdpi.com/2227-7080/12/5/66

4. “Integrating Artificial Intelligence to Biomedical Science: New Applications for Innovative Stem Cell Research and Drug Development”
by Minjae Kim and Sunghoi Hong
Technologies 2024, 12(7), 95; https://doi.org/10.3390/technologies12070095
Available online: https://www.mdpi.com/2227-7080/12/7/95

5. “Smartphone-Based Citizen Science Tool for Plant Disease and Insect Pest Detection Using Artificial Intelligence”
by Panagiotis Christakakis, Garyfallia Papadopoulou, Georgios Mikos, Nikolaos Kalogiannidis, Dimosthenis Ioannidis Dimitrios Tzovaras and Eleftheria Maria Pechlivani
Technologies 2024, 12(7), 101; https://doi.org/10.3390/technologies12070101
Available online: https://www.mdpi.com/2227-7080/12/7/101

6. “Revolutionary Integration of Artificial Intelligence with Meta-Optics-Focus on Metalenses for Imaging”
by Nikolay L. Kazanskiy, Svetlana N. Khonina, Ivan V. Oseledets, Artem V. Nikonorov and Muhammad A. Butt
Technologies 2024, 12(9), 143; https://doi.org/10.3390/technologies12090143
Available online: https://www.mdpi.com/2227-7080/12/9/143

7. “Synergy between Artificial Intelligence and Hyperspectral Imagining—A Review”
by Svetlana N. Khonina, Nikolay L. Kazanskiy, Ivan V. Oseledets, Artem V. Nikonorov and Muhammad A. Butt
Technologies 2024, 12(9), 163; https://doi.org/10.3390/technologies12090163
Available online: https://www.mdpi.com/2227-7080/12/9/163

8. “Integrating Building Information Modelling and Artificial Intelligence in Construction Projects: A Review of Challenges and Mitigation Strategies”
by Ayaz Ahmad Khan, Abdulkabir Opeyemi Bello, Mohammad Arqam and Fahim Ullah
Technologies 2024, 12(10), 185; https://doi.org/10.3390/technologies12100185
Available online: https://www.mdpi.com/2227-7080/12/10/185

9. “Fault Diagnosis in a Four-Arm Delta Robot Based on Wavelet Scattering Networks and Artificial Intelligence Techniques”
by Claudio Urrea and Carlos Domínguez
Technologies 2024, 12(11), 225; https://doi.org/10.3390/technologies12110225
Available online: https://www.mdpi.com/2227-7080/12/11/225

10. “AI-Powered Biodiversity Assessment: Species Classification via DNA Barcoding and Deep Learning”
by Loris Nanni, Daniela Cuza and Sheryl Brahnam
Technologies 2024, 12(12), 240; https://doi.org/10.3390/technologies12120240
Available online: https://www.mdpi.com/2227-7080/12/12/240

1. “A Review of Deep Transfer Learning and Recent Advancements”
by Mohammadreza Iman, Hamid Reza Arabnia and Khaled Rasheed
Technologies 2023, 11(2), 40; https://doi.org/10.3390/technologies11020040
Available online: https://www.mdpi.com/2227-7080/11/2/40

2. “Utilization of Artificial Neural Networks for Precise Electrical Load Prediction”
by Christos Pavlatos, Evangelos Makris, Georgios Fotis, Vasiliki Vita and Valeri Mladenov
Technologies 2023, 11(3), 70; https://doi.org/10.3390/technologies11030070
Available online: https://www.mdpi.com/2227-7080/11/3/70

3. “Efficient Deep Learning-Based Data-Centric Approach for Autism Spectrum Disorder Diagnosis from Facial Images Using Explainable AI”
by Mohammad Shafiul Alam, Muhammad Mahbubur Rashid, Ahmed Rimaz Faizabadi, Hasan Firdaus Mohd Zaki, Tasfiq E. Alam, Md Shahin Ali, Kishor Datta Gupta and Md Manjurul Ahsan
Technologies 2023, 11(5), 115; https://doi.org/10.3390/technologies11050115
Available online: https://www.mdpi.com/2227-7080/11/5/115

4. “Towards a Bidirectional Mexican Sign Language–Spanish Translation System: A Deep Learning Approach”
by Jaime-Rodrigo González-Rodríguez, Diana-Margarita Córdova-Esparza, Juan Terven and Julio-Alejandro Romero-González
Technologies 2024, 12(1), 7; https://doi.org/10.3390/technologies12010007
Available online: https://www.mdpi.com/2227-7080/12/1/7

5. “A Review of Machine Learning and Deep Learning for Object Detection, Semantic Segmentation, and Human Action Recognition in Machine and Robotic Vision”
by Nikoleta Manakitsa, George S. Maraslidis, Lazaros Moysis and George F. Fragulis
Technologies 2024, 12(2), 15; https://doi.org/10.3390/technologies12020015
Available online: https://www.mdpi.com/2227-7080/12/2/15

6. “Aircraft Skin Machine Learning-Based Defect Detection and Size Estimation in Visual Inspections”
by Angelos Plastropoulos, Kostas Bardis, George Yazigi, Nicolas P. Avdelidis and Mark Droznika
Technologies 2024, 12(9), 158; https://doi.org/10.3390/technologies12090158
Available online: https://www.mdpi.com/2227-7080/12/9/158

7. “A Hybrid Deep Learning Approach with Generative Adversarial Network for Credit Card Fraud Detection”
by Ibomoiye Domor Mienye, and Theo G. Swart
Technologies 2024, 12(10), 186; https://doi.org/10.3390/technologies12100186
Available online: https://www.mdpi.com/2227-7080/12/10/186

8. “Generative Models for Source Code: Fine-Tuning Techniques for Structured Pattern Learning”
by Valentina Franzoni, Silvia Tagliente and Alfredo Milani
Technologies 2024, 12(11), 219; https://doi.org/10.3390/technologies12110219
Available online: https://www.mdpi.com/2227-7080/12/11/219

9. “EEG-Based Mobile Robot Control Using Deep Learning and ROS Integration”
by Bianca Ghinoiu, Victor Vlădăreanu, Ana-Maria Travediu, Luige Vlădăreanu, Abigail Pop, Yongfei Feng and Andreea Zamfirescu
Technologies 2024, 12(12), 261; https://doi.org/10.3390/technologies12120261
Available online: https://www.mdpi.com/2227-7080/12/12/261

1. “Identifying Growth Patterns in Arid-Zone Onion Crops (Allium Cepa) Using Digital Image Processing”
by David Duarte-Correa, Juvenal Rodríguez-Reséndiz, Germán Díaz-Flórez, Carlos Alberto Olvera-Olvera and José M. Álvarez-Alvarado
Technologies 2023, 11(3), 67; https://doi.org/10.3390/technologies11030067
Available online: https://www.mdpi.com/2227-7080/11/3/67

2. “Applied Deep Learning-Based Crop Yield Prediction: A Systematic Analysis of Current Developments and Potential Challenges”
by Khadija Meghraoui, Imane Sebari, Juergen Pilz, Kenza Ait El Kadi and Saloua Bensiali
Technologies 2024, 12(4), 43; https://doi.org/10.3390/technologies12040043
Available online: https://www.mdpi.com/2227-7080/12/4/43

3. “Deep Learning Approaches for Water Stress Forecasting in Arboriculture Using Time Series of Remote Sensing Images: Comparative Study between ConvLSTM and CNN-LSTM Models”
by Ismail Bounoua, Youssef Saidi, Reda Yaagoubi and Mourad Bouziani
Technologies 2024, 12(6), 77; https://doi.org/10.3390/technologies12060077
Available Online: https://www.mdpi.com/2227-7080/12/6/77

4. “Transformer-Based Water Stress Estimation Using Leaf Wilting Computed from Leaf Images and Unsupervised Domain Adaptation for Tomato Crops”
by Makoto Koike, Riku Onuma, Ryo Adachi and Hiroshi Mineno
Technologies 2024, 12(7), 94; https://doi.org/10.3390/technologies12070094
Available online: https://www.mdpi.com/2227-7080/12/7/94

5. “Smartphone-Based Citizen Science Tool for Plant Disease and Insect Pest Detection Using Artificial Intelligence”
by Panagiotis Christakakis, Garyfallia Papadopoulou, Georgios Mikos, Nikolaos Kalogiannidis, Dimosthenis Ioannidis, Dimitrios Tzovaras and Eleftheria Maria Pechlivani
Technologies 2024, 12(7), 101; https://doi.org/10.3390/technologies12070101
Available online: https://www.mdpi.com/2227-7080/12/7/101

6. “Change Detection for Forest Ecosystems Using Remote Sensing Images with Siamese Attention U-Net”
by Ashen Iranga Hewarathna, Luke Hamlin, Joseph Charles, Palanisamy Vigneshwaran, Romiyal George, Selvarajah Thuseethan, Chathrie Wimalasooriya and Bharanidharan Shanmugam
Technologies 2024, 12(9), 160; https://doi.org/10.3390/technologies12090160
Available online: https://www.mdpi.com/2227-7080/12/9/160

7. “Rice Leaf Disease Classification—A Comparative Approach Using Convolutional Neural Network (CNN), Cascading Autoencoder with Attention Residual U-Net (CAAR-U-Net), and MobileNet-V2 Architectures”
by Monoronjon Dutta, Md Rashedul Islam Sujan, Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty, Ahmed Al Marouf, Jon G. Rokne and Reda Alhajj
Technologies 2024, 12(11), 214; https://doi.org/10.3390/technologies12110214
Available online: https://www.mdpi.com/2227-7080/12/11/214

1. “A Deep Reinforcement Learning Method for Economic Power Dispatch of Microgrid in OPAL-RT Environment”
by Faa-Jeng Lin, Chao-Fu Chang,Yu-Cheng Huang and Tzu-Ming Su
Technologies 2023, 11(4), 96; https://doi.org/10.3390/technologies11040096
Available online: https://www.mdpi.com/2227-7080/11/4/96

2. “An Optimum Load Forecasting Strategy (OLFS) for Smart Grids Based on Artificial Intelligence”
by Asmaa Hamdy Rabie, Ahmed I. Saleh, Said H. Abd Elkhalik and Ali E. Takieldeen
Technologies 2024, 12(2), 19; https://doi.org/10.3390/technologies12020019
Available online: https://www.mdpi.com/2227-7080/12/2/19

3. “Reinforcement-Learning-Based Virtual Inertia Controller for Frequency Support in Islanded Microgrids”
by Mohamed A. Afifi, Mostafa I. Marei and Ahmed M. I. Mohamad
Technologies 2024, 12(3), 39; https://doi.org/10.3390/technologies12030039
Available online: https://www.mdpi.com/2227-7080/12/3/39

4. “Study of an LLC Converter for Thermoelectric Waste Heat Recovery Integration in Shipboard Microgrids”
by Nick Rigogiannis, Ioannis Roussos, Christos Pechlivanis, Ioannis Bogatsis, Anastasios Kyritsis, Nick Papanikolaou and Michael Loupis
Technologies 2024, 12(5), 67; https://doi.org/10.3390/technologies12050067
Available online: https://www.mdpi.com/2227-7080/12/5/67

5. “A New LCL Filter Design Method for Single-Phase Photovoltaic Systems Connected to the Grid via Micro-Inverters”
by Heriberto Adamas-Pérez, Mario Ponce-Silva, Jesús Darío Mina-Antonio, Abraham Claudio-Sánchez, Omar Rodríguez-Benítez and Oscar Miguel Rodríguez-Benítez
Technologies 2024, 12(6), 89; https://doi.org/10.3390/technologies12060089
Available online: https://www.mdpi.com/2227-7080/12/6/89

6. “Open-Source Hardware Design of Modular Solar DC Nanogrid”
by Md Motakabbir Rahman, Sara Khan and Joshua M. Pearce
Technologies 2024, 12(9), 167; https://doi.org/10.3390/technologies12090167
Available online: https://www.mdpi.com/2227-7080/12/9/167

7. “A Real-Time and Online Dynamic Reconfiguration against Cyber-Attacks to Enhance Security and Cost-Efficiency in Smart Power Microgrids Using Deep Learning”
by Elnaz Yaghoubi, Elaheh Yaghoubi, Ziyodulla Yusupov and Mohammad Reza Maghami
Technologies 2024, 12(10), 197; https://doi.org/10.3390/technologies12100197
Available online: https://www.mdpi.com/2227-7080/12/10/197

8. “Optimized Energy Management Strategy for an Autonomous DC Microgrid Integrating PV/Wind/Battery/Diesel-Based Hybrid PSO-GA-LADRC Through SAPF”
by AL-Wesabi Ibrahim, Jiazhu Xu, Abdullrahman A. Al-Shamma’a, Hassan M. Hussein Farh, Imad Aboudrar, Youssef Oubail, Fahad Alaql and Walied Alfraidi
Technologies 2024, 12(11), 226; https://doi.org/10.3390/technologies12110226
Available online: https://www.mdpi.com/2227-7080/12/11/226

As an Editorial Board Member, you would have the following responsibilities:

• Promoting Technologies (ISSN: 2227-7080) on your social media or among your acquaintances;
• Supervising the quality of the papers in Technologies (when we have new submissions that fit well with your expertise);
• Acting as/recommending a Guest Editor for a Special Issue on a topic related to your research interests;
• Providing conference/society collaboration recommendations;
• Providing suggestions or comments on journal development.

As an Editorial Board Member, you would have the following benefits:

• Publishing one paper free of charge in Technologies per year, as well as publishing extra papers with special discounts;
• Publishing one paper free of charge in your own Special Issue per year;
• Organizing or promoting your own conferences by using our platform SciForum;
• A travel grant will be offered to Editorial Board Members that make significant contributions to the journal;
• Recommending/inviting your colleagues to submit full research articles or review papers with special discounts.

Technologies is an international, peer-reviewed, open access journal dedicated to exploring emerging scientific and technological trends. Established in 2013, it is indexed in prominent databases including ESCI-Web of Science, Scopus, and Inspec. The journal boasts an Impact Factor (IF) of 4.2, ranking 24th out of 181 in the “Engineering, Multidisciplinary” category (Q1). Additionally, it achieved a CiteScore of 6.7 in 2023, placing it 19th out of 133 in the “Computer Science (Miscellaneous)” category (Q1).

If you are interested in joining the Editorial Board of Technologies, please send your full academic CV and a short cover letter that details your interest and enthusiasm for the position to technologies@mdpi.com.

MDPI will be attending the 2025 International Conference on Electronics Packaging and iMAPs All Asia Conference (ICEP-IAAC 2025) in Nagano, Japan, which will take place from 15 to 19 April 2025. ICEP is Japan’s largest international conference on electronic packaging, attracting more than 360 attendees and hosting roughly 35 technical sessions. The conference comprises technical sessions covering a wide range of topics including advanced packaging, design, modeling and reliability, emerging technologies, high-speed, wireless components, interconnections, materials and processes, optoelectronics, power electronics integration, and thermal management. 

The following MDPI journals will be represented at the conference:

• Electronics;
• Applied Sciences;
• Chips;
• Hardware;
• Journal of Experimental and Theoretical Analyses;
• Journal of Low Power Electronics and Applications;
• Journal of Sensor and Actuator Networks;
• Materials;
• Micromachines;
• Technologies. 

If you are planning to attend the above conference, please visit our booth. Our delegates look forward to meeting you in person and answering any questions that you may have. For more information about this conference, please visit the following website: https://www.jiep.or.jp/icep/.

MDPI is pleased to share a significant milestone in its mission to advance scholarly research and promote the dissemination of knowledge—300+ MDPI journals are now indexed in Web of Science (WoS). This milestone highlights the global recognition, interdisciplinary impact and enhanced visibility of our journals. It also reflects our adherence to rigorous editorial standards, scientific integrity, and our mission to foster open scientific exchange in all forms, across all disciplines. 

To explore the full list of our journals indexed in WoS, please visit https://www.mdpi.com/about/journals/wos. Beyond expanding the coverage of our publications in the leading academic databases, we are dedicated to ensuring that our journals are included in as many scope-specific databases as possible. This increases the visibility of our authors’ work and extends the reach of their significant data. 

This milestone would not have been possible without the efforts and expertise of our academic editors, reviewers and authors. Their commitment and collaboration have been instrumental in creating an inclusive, accessible, and impactful publishing platform. We also extend our gratitude to the global research community for their trust as we continue to break new ground in academic publishing. This milestone is not just a celebration of MDPI’s progress but also recognition of the collective strides made by researchers worldwide. 

As we celebrate this remarkable accomplishment, MDPI remains steadfast in its commitment to open access publishing and ensuring that high-quality research reaches and inspires a global audience.

We are pleased to announce that the 2nd International Conference on AI Sensors and Transducers (AIS 2025) will be held in Kuala Lumpur, Malaysia, from 29 July to 3 August 2025. This conference is organized by MDPI’s journals Sensors, AI Sensor, Micromachines, Chemosensors, and Robotics. Building on the success of our previous conference in Singapore, this event promises to be an exciting platform for exploring cutting-edge advances and fostering collaboration in the rapidly evolving field of AI, sensors, and transducers. We expect that the AIS 2025 will host over 600 participants from around the world.

Conference Chairs:

• Prof. Dr. Toshihiro Itoh, Department of Precision Engineering, University of Tokyo, Japan;
• Prof. Dr. Sang-Woo Kim, Department of Materials Science and Engineering, Yonsei University, Korea;
• Prof. Dr. Chengkuo Lee, Director of Center for Intelligent Sensors and MEMS; Electrical and Computer Engineering, National University of Singapore, Singapore.

Topics of Interest:

• S1. Lab-on-a-Chip (LoC) and MicroTAS;
• S2. Biosensors and Biomedical Devices;
• S3. In-Body IoT Sensing Technology, Electroceuticals and Neural Interfaces;
• S4. Nanophotonics and Metasurface;
• S5. Acoustic, RF, THz Metamaterials and AI-Enabled Metamaterials;
• S6. Neuromorphic Computing, In-Memory Computing and Applications;
• S7. Photonics Integrated Circuits (PICs) and Novel Materials;
• S8. Enabling Technology for Photonic Neural Networks (PNNs) and Applications;
• S9. In-Sensor Computing and Enabling Technology for Edge Computing;
• S10. MEMS/NEMS Sensors;
• S11. Semiconductor Sensors, Photodetectors and CMOS MEMS;
• S12. Piezoelectric MEMS and Resonators—FBAR, SAW and pMUT;
• S13. Piezoelectric Transducers and Energy Harvesters;
• S14. Ferroelectric/Perovskite/2D Materials Thin Film and Applications;
• S15. Gas Sensors and Chemosensors;
• S16. Triboelectric Nanogenerators and Self-Powered Sensors;
• S17. Energy Harvesting Technology and Applications;
• S18. Flexible, Stretchable and Wearable Sensors;
• S19. Wearable AI Sensors;
• S20. AI-Enhanced Tactile Sensors and e-Skin;
• S21. Haptic Technology and Applications;
• S22. Advanced Sensors for Robots and Autonomous Systems;
• S23. Intelligent Sensors and AI-Enhanced Humanoids;
• S24. Enabling Technology for Digital Twin, Metaverse and Smart Sensing Systems;
• S25. AIoT Technology and Applications;
• S26. Sensors for Applications in Agriculture, Aquaculture, Food Technology (A2FT) and Harsh Environment;
• S27. Industry Forum and Commercialization of Sensors and Transducers;
• S28. Regular Symposium.

Guide for Authors:

Please click the button to submit your abstract before 10 May 2025.

Please click the button to register for this event.

For any enquiries regarding the event, please contact ais2025@mdpi.com.

We look forward to seeing you at AIS 2025.

MDPI, a pioneer in scholarly open access publishing, and the Lee Kong Chian School of Medicine (LKCMedicine), Singapore, proudly announce the successful conclusion of the first edition the MDPI Early Career Researcher Awards. The awards, which recognize outstanding contributions to medical and biomedical research, were presented to six exceptional researchers during an awards ceremony held at LKCMedicine HQ Building on 28 November 2024.

Honoring Excellence in Research

The awards recognize exceptional postdoctoral researchers and Ph.D. students who have demonstrated outstanding originality, innovation, and impact in their respective fields. We are honored to announce the winners of the 2024 edition:

Early Career Researcher (Postdoc) Award:

• Dr. Theresia Handayani Mina, “Adiposity and Metabolic Health in Asian Populations: An Epidemiological Study Using Dual-Energy X-Ray Absorptiometry in Singapore”;
• Dr. Erfan Rezvani Ghomi, “Wound Healing Improvement by Novel Aligned Antimicrobial Nanofibrous 3D Scaffolds”;
• Dr. Yadollah Ranjbar Slamloo, “Functional Alterations of The Prefrontal Circuit Underlying Cognitive Aging in Mice”.

Early Career Researcher (Ph.D.) Award:

• Pritisha Rozario, “Mechanistic Basis for Potassium Efflux-Driven Activation of the Human NLRP1 Inflammasome”;

• Michelle Law Cheok Yien, “Chikungunya Virus Nonstructural Protein 1 is a Versatile RNA Capping and Decapping Enzyme”;
• Yin Ruoyu, “The Use of Digital Mental Health and Wellbeing Tools in Older Adults: A Mixed Method Study”.

Our collaboration highlights a shared commitment to recognizing exceptional talent and research within the academic community, addressing today’s healthcare challenges, and inspiring continued innovation.

Looking Ahead to 2025

Building on the success of the first edition, MDPI and LKCMedicine are excited to announce that the 2025 MDPI Early Researcher Awards will continue to celebrate excellence and innovation in medical research. The next edition promises to expand its scope, introducing new categories and providing even greater recognition for impactful research.

Further details on the 2025 awards, including nomination criteria and timelines, will be shared in the coming months. We remain committed to fostering a culture of research excellence and collaboration within the global scientific community.