Biomedicines | Hot Papers in the “Biomedical Engineering and Materials” Section
The “Biomedical Engineering and Materials” Section publishes reviews and original peer-reviewed papers which aim to cover studies of the preparation, performance, and evaluation of biomaterials; the chemical, physical, toxicological, and mechanical behavior of materials in physiological environments; and the response of blood and tissues to biomaterials. It also covers biomedical engineering approaches as solutions to clinical practice. In this context, we are pleased to feature some recently published papers on biomedical engineering and materials in Biomedicines (ISSN: 2227-9059), which will provide valuable insights into this exciting field.
1. “Artificial Intelligence in Pediatric Emergency Medicine: Applications, Challenges, and Future Perspectives”
by Lorenzo Di Sarno, Anya Caroselli, Giovanna Tonin, Benedetta Graglia, Valeria Pansini, Francesco Andrea Causio, Antonio Gatto and Antonio Chiaretti
Biomedicines 2024, 12(6), 1220; https://doi.org/10.3390/biomedicines12061220
Available online: https://www.mdpi.com/2227-9059/12/6/1220
2. “Machine Learning and Texture Analysis of [18F]FDG PET/CT Images for the Prediction of Distant Metastases in Non-Small-Cell Lung Cancer Patients”
by Armin Hakkak Moghadam Torbati, Sara Pellegrino, Rosa Fonti, Rocco Morra, Sabino De Placido and Silvana Del Vecchio
Biomedicines 2024, 12(3), 472; https://doi.org/10.3390/biomedicines12030472
Available online: http://www.mdpi.com/2227-9059/12/3/472
3. “Design of Alginate/Gelatin Hydrogels for Biomedical Applications: Fine-Tuning Osteogenesis in Dental Pulp Stem Cells While Preserving Other Cell Behaviors”
by Zied Ferjaoui, Roberto López-Muñoz, Soheil Akbari, Fatiha Chandad, Diego Mantovani, Mahmoud Rouabhia and Roberto D. Fanganiello
Biomedicines 2024, 12(7), 1510; https://doi.org/10.3390/biomedicines12071510
Available online: https://www.mdpi.com/2227-9059/12/7/1510
4. “Improving Surgical Scene Semantic Segmentation through a Deep Learning Architecture with Attention to Class Imbalance”
by Claudio Urrea, Yainet Garcia-Garcia and John Kern
Biomedicines 2024, 12(6), 1309; https://doi.org/10.3390/biomedicines12061309
Available online: https://www.mdpi.com/2227-9059/12/6/1309
5. “A Combined Computational and Experimental Analysis of PLA and PCL Hybrid Nanocomposites 3D Printed Scaffolds for Bone Regeneration”
by Spyros V. Kallivokas, Lykourgos C. Kontaxis, Spyridon Psarras, Maria Roumpi, Ourania Ntousi, Ioannis Kakkos, Despina Deligianni, George K. Matsopoulos, Dimitrios I. Fotiadis and Vassilis Kostopoulos
Biomedicines 2024, 12(2), 261; https://doi.org/10.3390/biomedicines12020261
Available online: https://www.mdpi.com/2227-9059/12/2/261
6. “A Comprehensive Review of Muscle–Tendon Junction: Structure, Function, Injury and Repair”
by Siqi Tong, Yuzhi Sun, Baian Kuang, Mingyue Wang, Zhixuan Chen, Wei Zhang and Jialin Chen
Biomedicines 2024, 12(2), 423; https://doi.org/10.3390/biomedicines12020423
Available online: https://www.mdpi.com/2227-9059/12/2/423
7. “In Vivo Osteogenic and Angiogenic Properties of a 3D-Printed Isosorbide-Based Gyroid Scaffold Manufactured via Digital Light Processing”
by Fiona Verisqa, Jeong-Hui Park, Nandin Mandakhbayar, Jae-Ryung Cha, Linh Nguyen, Hae-Won Kim and Jonathan C. Knowles
Biomedicines 2024, 12(3), 609; https://doi.org/10.3390/biomedicines12030609
Available online: https://www.mdpi.com/2227-9059/12/3/609
8. “Proposal and Definition of an Intelligent Clinical Decision Support System Applied to the Prediction of Dyspnea after 12 Months of an Acute Episode of COVID-19”
by Manuel Casal-Guisande, Alberto Comesaña-Campos, Marta Núñez-Fernández, María Torres-Durán and Alberto Fernández-Villar
Biomedicines 2024, 12(4), 854; https://doi.org/10.3390/biomedicines12040854
Available online: https://www.mdpi.com/2227-9059/12/4/854
9. “Mechanical and Material Analysis of 3D-Printed Temporary Materials for Implant Reconstructions—A Pilot Study”
by Adam Nowicki, Karolina Osypko, Adam Kurzawa, Maciej Roszak, Karina Krawiec and Dariusz Pyka
Biomedicines 2024, 12(4), 870; https://doi.org/10.3390/biomedicines12040870
Available online: https://www.mdpi.com/2227-9059/12/4/870
10. “Machine Learning for COVID-19 Determination Using Surface-Enhanced Raman Spectroscopy”
by Tomasz R. Szymborski, Sylwia M. Berus, Ariadna B. Nowicka, Grzegorz Słowiński and Agnieszka Kamińska
Biomedicines 2024, 12(1), 167; https://doi.org/10.3390/biomedicines12010167
Available online: https://www.mdpi.com/2227-9059/12/1/167
To acknowledge the above authors’ excellent contributions, we are happy to provide a full waiver to each team of the above publications. We also would like to take this opportunity to thank all the research groups that have submitted to Biomedicines. We would appreciate it if you would circulate this document among your colleagues and network. Furthermore, the following opportunities for collaboration may be of interest to you:
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https://www.mdpi.com/user/manuscripts/upload/?journal=biomedicines.
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Biomedicines Editorial Office