Zhenghong Yu | Medical Imaging and Pain Medicine | Best Researcher Award

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Mr. Zhenghong Yu | Medical Imaging and Pain Medicine | Best Researcher Award

Professor at Henan Provincial People’s Hospital | China

Prof. Yu Zhenghong is a distinguished orthopedic surgeon and academic leader specializing in spine and spinal cord disorders at the Department of Surgery of Spine and Spinal Cord, Henan Provincial People’s Hospital, Zhengzhou, China. He holds a Ph.D. in Clinical Applied Anatomy from Southern Medical University, an M.S. in Traditional Chinese Medicine (Orthopedics and Traumatology) from Henan University of Chinese Medicine, and a B.S. in Traditional Chinese Medicine (Orthopedics and Traumatology) from Beijing University of Chinese Medicine. His clinical and research expertise focuses on the pathological basis of spinal degenerative diseases, exploring molecular mechanisms, immune responses, and innovative therapeutic strategies for spinal disorders. Over his career, he has contributed significantly to the integration of traditional and modern orthopedic medicine, emphasizing evidence-based approaches to treatment and recovery. Prof. Yu has authored influential research studies in leading international journals. His notable publications include The Susceptibility of Coccydynia in Morphology: A Cross-Sectional Study published in Pain Research and Management, High Expression of HOXA4 in Patients with Glioma Indicates Unfavorable Clinical Outcomes featured in Cell Cycle, Patterns of Antibiotic Resistance Genes and Virulence Factor Genes in the Gut Microbiome of Patients with Osteoarthritis and Rheumatoid Arthritis published in Frontiers in Microbiology, and Factors Associated with Postoperative Axial Symptom after Expansive Open-Door Laminoplasty: Retrospective Study Using Multivariable Analysis featured in the European Spine Journal.

Profile: Scopus

Featured Publications

Feng, H., Chen, X., Cao, C., Wan, D., Liu, H., Zhang, E., & Yu, Z. (2025). The susceptibility of coccydynia in morphology: A cross-sectional study. Pain Research and Management, 2025, 2932223.

Yu, Z., Liu, Z., Lian, X., Cheng, X., Liu, B., Zhang, B., Wang, H., Wang, J., Li, A., Ren, Z., Pang, B., Qian, R., & Gao, Y. (2022). High expression of HOXA4 in patients with glioma indicates unfavorable clinical outcomes. Cell Cycle, 21(22), 2387–2402.

Guo, Y., Feng, H., Du, L., & Yu, Z. (2024). Patterns of antibiotic resistance genes and virulence factor genes in the gut microbiome of patients with osteoarthritis and rheumatoid arthritis. Frontiers in Microbiology, 15, 1427313.

Zhang, X., Gao, Y., Gao, K., Yu, Z., Lv, D., Ma, H., & Zhai, G. (2020). Factors associated with postoperative axial symptom after expansive open-door laminoplasty: Retrospective study using multivariable analysis. European Spine Journal, 29(11), 2838–2844.

Liu, Z., Cheng, X., Yu, Z., & Gao, Y. (2021). Clinical analysis of cervical sagittal balance and postoperative outcomes in patients undergoing anterior cervical discectomy and fusion. Journal of Orthopaedic Surgery and Research, 16(1), 157.

Ruben Pellicer-Guridi | Biomedical engineering | Best Researcher Award

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Dr. Ruben Pellicer-Guridi |  Biomedical engineering | Best Researcher Award

Postdoc at Asociacion de Investigacion MPC, Spain

🌍 Passionate physicist advancing affordable MRI and NMR technologies using innovative quantum sensing with NV centers in diamond. 📍Based in Spain, drives impactful projects for health, environment, and food sectors through groundbreaking research and entrepreneurial ventures. 🌟 Award-winning expert with a strong focus on real-world applications.

 

Publication Profile

orcid

scopus

Education🎓 

Ph.D. in Magnetic Resonance Imaging, University of Queensland, Australia (2014–2019) Internship & Research Assistant, ETH Zurich, Switzerland (2011)  Associate Fellow, Higher Education Academy (AFHEA) for teaching excellence.  Built expertise in magnetic resonance instrumentation and quantitative imaging across leading European institutions.

Experience💡 

PostDoc Fellow, Quantum Nanophotonics Lab, Spain (2021–present): Revolutionizing quantum-based NMR.  Principal Investigator, I3M Valencia (2020–2021): Developed cost-effective, portable MRI prototypes.  Visiting Academic, Charité Berlin (2020): Enhanced hyperthermia devices for cancer treatment. Ph.D. Candidate & Fellow, University of Queensland (2014–2019): Advanced low-field MRI methods with groundbreaking patents.

Awards & Honors🏆

2022 Spin-Off Award, Valencian Community: Portable MRI innovation. BioMedTech Horizons Grant ($1M AUD): For low-field MRI development. Marie Skłodowska-Curie MSCA Fellowship: Quantum sensing for NMR systems.  Recognized by prestigious European institutions for pioneering affordable, cutting-edge MRI systems.

Research Focus🔬

Quantum NMR methods with NV centers for next-gen sensing.  Low-field portable MRI for affordable diagnostics.  RF antenna development for optimized electron spin control.  Bridging high-tech innovation with real-world medical, environmental, and societal needs.

 

Publication  Top Notes

Quantum-inspired Clustering with Light: Explores clustering methods inspired by quantum computing, applying light-based technologies. Published in Scientific Reports (2024).

Open-source MRI: Highlights the benefits of open-source MRI technology for improving global access, science, and education. Published in NMR in Biomedicine (2024).

Machine Learning for Magnetometry: Discusses automatic optimization of nitrogen vacancy center-based magnetometry using machine learning, presented at the Optica Sensing Congress 2024.

MaRCoS System for Low-field MRI: Focuses on MaRCoS, an open-source electronic control system for low-field MRI. Published in Journal of Magnetic Resonance (2023).

Benchmarking Low-cost MRI Systems: Reviews the performance of low-cost MRI control systems across multiple sites. Published in NMR in Biomedicine (2023).

Prepolarized MRI for Hard Tissues: Studies MRI techniques for imaging hard tissues and solid-state matter. Published in NMR in Biomedicine (2022).

Portable MRI Systems: Explores portable MRI systems for indoor, outdoor, and home use. Published in Scientific Reports (2022).

CNN for Noise Reduction in Low-field MRI: Proposes a convolutional neural network (CNN) for electromagnetic noise reduction in MRI applications. Published in IEEE Transactions on Medical Imaging (2022).

Magneto-stimulation in Rapid Field Dynamics: Examines magneto-stimulation limits in MRI applications involving rapid field changes. Published in Physics in Medicine and Biology (2022).

Fast 0.5 T Prepolarizer Module: Discusses a fast prepolarizer module for preclinical MRI applications. Published in IEEE Transactions on Magnetics (2022).

 

Conclusion

The candidate is an outstanding contender for the Best Researcher Award, with a proven track record of impactful research, leadership, and innovation in medical and quantum technologies. Their work addresses critical gaps in current medical imaging and quantum sensing technologies, with the potential to bring profound benefits to healthcare systems globally. With a well-rounded approach that blends research, commercialization, and education, they exemplify the qualities of an exceptional researcher. Further expansion into diverse medical applications and commercial scalability could elevate their contributions even further.