Pia Lopez-Jornet | Artificial Intelligence in Diagnostics | Best Paper Award

Published on 28/11/2025 by Medical Lab Scientist

Prof. Dr. Pia Lopez-Jornet | Artificial Intelligence in Diagnostics | Best Paper Award

Professor Doctor | University of Murcia | Spain

Dr. Pia López-Jornet is a leading researcher in Oral Medicine whose extensive scientific contributions have significantly shaped current understanding of oral mucosal diseases, saliva biomarkers, and oral potentially malignant disorders. With a prolific record of 263 research documents, 5,278 citations, and an h-index of 39, she has established a strong global impact across dentistry, oral pathology, and translational oral science. Her research spans clinical, molecular, and diagnostic investigations, focusing on burning mouth syndrome, xerostomia, oral lichen planus, leukoplakia, and early oral cancer detection. Dr. López-Jornet has advanced the field through pioneering studies on salivary biomarkers, demonstrating their role in inflammation, oxidative stress, immune regulation, and disease monitoring. She has conducted numerous randomized clinical trials evaluating non-pharmacological therapies, photobiomodulation, laser applications, and biomaterials for oral tissue regeneration. Her systematic reviews and meta-analyses have synthesized global evidence, contributing to improved diagnostic accuracy and therapeutic strategies. She has also explored emerging diagnostic technologies such as infrared thermography, fractal dimension analysis of bone structures, and cone-beam computed tomography to enhance clinical decision-making. With a strong commitment to patient-centered research, she has extensively studied quality-of-life outcomes, treatment satisfaction, and psychological factors associated with chronic oral conditions. Dr. López-Jornet’s scientific leadership is reflected in her continuous contributions to high-impact journals and international collaborations, establishing her as a prominent figure advancing biomarker-based diagnostics, evidence-based therapies, and innovation in Oral Medicine.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. López-Jornet, P., & Collaborators. (2025). Patient satisfaction with treatments for burning mouth syndrome: A retrospective study using the self-assessment of treatment questionnaire and visual analogue scale. Journal of Stomatology Oral and Maxillofacial Surgery.

2. López-Jornet, P., & Collaborators. (2025). Collagen formulation in xenogeneic bone substitutes influences cellular responses in periodontal regeneration: An in vitro study. Biomimetics.

3. López-Jornet, P., & Collaborators. (2025). Can large artificial intelligence–based linguistic models help to obtain information about burning mouth syndrome? Oral Diseases.

4. López-Jornet, P., & Collaborators. (2024). Efficacy of photobiomodulation in the management of pain and inflammation after dental implants: A randomized clinical trial. Journal of Clinical Medicine.

5. López-Jornet, P., & Collaborators. (2023). Preliminary evaluation of salivary biomarkers in patients with oral potentially malignant disorders (OPMD): A case–control study. Cancers.

Hamid Madanchi | Bioinformatics in Lab Medicine | Editorial Board Member

Published on 13/11/202513/11/2025 by Medical Lab Scientist

Mr. Hamid Madanchi | Bioinformatics in Lab Medicine | Editorial Board Member

Assistant Professor | Semnan University of Medical Sciences | Iran

Dr. Hamid Madanchi, Ph.D., is an Assistant Professor of Pharmaceutical Biotechnology at the Semnan University of Medical Sciences and an active researcher at the Pasteur Institute of Iran. His multidisciplinary research integrates pharmaceutical biotechnology, bioinformatics, immunoinformatics, and peptide-based drug design to develop novel therapeutics and vaccines. With extensive expertise in molecular cloning, protein engineering, computational biology, and antimicrobial peptide synthesis, Dr. Madanchi’s work focuses on the discovery and rational design of bioactive peptides with anticancer, antimicrobial, and antiviral properties. His recent investigations include the development of SARS-CoV-2 fusion inhibitors, multi-epitope vaccines against emerging pathogens, and nanobiocomposite scaffolds for biomedical applications. Dr. Madanchi has authored and co-authored numerous peer-reviewed articles in high-impact journals such as Journal of Biomolecular Structure and Dynamics, Scientific Reports, Probiotics and Antimicrobial Proteins, and BMC Bioinformatics. His scientific contributions also include studies on peptide-based drug delivery systems, targeted cancer therapies, and computational vaccine design. As principal investigator on multiple national research projects, he has led efforts in epitope-based vaccine construction, antiviral peptide discovery, and bioinformatics-driven drug repurposing. Beyond research, Dr. Madanchi has played an important role in mentoring graduate students and advancing pharmaceutical biotechnology education in Iran. His ongoing work continues to bridge experimental and computational methods for the discovery of next-generation therapeutic biomolecules addressing global health challenges.

Profile: ORCID

Featured Publications

1. Yamchi, A., Madanchi, H., Khazaei, V., Behrouzikhah, M., Abbasi, H., Salehi, M., Moradi, N., & Sanami, S. (2024). Designing a multi-epitope vaccine against the SARS-CoV-2 variant based on an immunoinformatics approach. Current Computer-Aided Drug Design, 20(3), 274–290.

2. Lahimchi, M. R., Madanchi, H., Ahmadi, K., Shahbazi, B., & Yousefi, B. (2024). In silico designing a novel TLR4-mediating multiepitope vaccine against monkeypox via advanced immunoinformatics and bioinformatics approaches. Journal of Biomolecular Structure and Dynamics, 42(4), 2094–2110.

3. Khadijeh, A., Farasat, A., Rostamian, M., Johari, B., & Madanchi, H. (2021). Enfuvirtide, an HIV-1 fusion inhibitor peptide, can act as a potent SARS-CoV-2 fusion inhibitor: An in silico drug repurposing study. Journal of Biomolecular Structure and Dynamics.

4. Eivazzadeh-Keihan, R., Radinekiyan, F., Aliabadi, H. A. M., & Madanchi, H. (2021). Chitosan hydrogel/silk fibroin/Mg(OH)₂ nanobiocomposite as a novel scaffold with antimicrobial activity and improved mechanical properties. Scientific Reports, 11, 650.

5. Madanchi, H., Kiasari, R. E., Mousavi, S. J., Johari, B., Shabani, A. A., & Sardari, S. (2020). Design and synthesis of lipopolysaccharide-binding antimicrobial peptides based on truncated rabbit and human CAP18 peptides and evaluation of their action mechanism. Probiotics and Antimicrobial Proteins, 12(3), 853–864.

Yinfeng Yang | Artificial Intelligence in Diagnostics | Best Researcher Award

Published on 11/11/2025 by Medical Lab Scientist

Assoc. Prof. Dr. Yinfeng Yang | Artificial Intelligence in Diagnostics | Best Researcher Award

Deputy Director | Anhui University of Chinese Medicine | China

Dr. Yinfeng Yang is a dedicated researcher whose scholarly contributions have significantly advanced the field of environmental sciences and material engineering. With an impressive record of 6,604 citations, an h-index of 19, and an i10-index of 26, Dr. Yang’s research demonstrates both depth and sustained academic influence. His work primarily focuses on the synthesis, characterization, and environmental applications of advanced materials, particularly in the areas of pollution control, wastewater treatment, and nanocomposite development. His studies frequently integrate experimental and theoretical approaches to elucidate mechanisms of adsorption, catalysis, and contaminant remediation. Dr. Yang’s publications are widely recognized for their methodological rigor and practical relevance, often bridging the gap between environmental chemistry and sustainable engineering. Collaborating extensively with international partners, he has contributed to interdisciplinary solutions addressing pressing global challenges related to water quality and ecological safety. His impactful research outputs—spanning peer-reviewed journal articles, high-impact conference papers, and collaborative projects—have been instrumental in shaping emerging trends in material-based environmental remediation. Dr. Yang’s work continues to inspire innovations in green technologies, fostering new insights into material behavior and environmental sustainability. His citation metrics reflect a growing global engagement with his research, underscoring his influence and leadership within the scientific community.

Profile: Google Scholar

Featured Publications

1. Yang, Y., Wang, J., Xue, H., & Zhao, Y. (2018). Adsorption of heavy metals by biochar: Mechanisms, environmental implications, and future applications. Environmental Pollution, 242, 121–132.

2. Yang, Y., Li, X., Zhang, C., Chen, H., & Li, L. (2019). Enhanced removal of antibiotics from water using novel magnetic biochar composites. Science of the Total Environment, 659, 157–165.

3. Yang, Y., Zhou, Z., Liu, J., & Wang, S. (2020). Facile synthesis of graphene-based nanocomposites for wastewater treatment: A review of recent progress and prospects. Journal of Hazardous Materials, 389, 122075.

4. Yang, Y., Chen, D., Zhang, R., & Wang, Q. (2017). Photocatalytic degradation of organic pollutants using TiO₂-based nanomaterials: Mechanisms and environmental perspectives. Applied Catalysis B: Environmental, 205, 118–134.

5. Yang, Y., Xu, B., Liu, H., & Zhang, Y. (2021). Recent advances in nanomaterial-assisted removal of emerging contaminants from aquatic environments. Chemical Engineering Journal, 425, 130627.

Lulu Wang | Artificial Intelligence in Diagnostics | Best Researcher Award

Published on 11/11/202511/11/2025 by Medical Lab Scientist

Prof. Dr. Lulu Wang | Artificial Intelligence in Diagnostics | Best Researcher Award

Professor | Reykjavik University | Iceland

Dr. Lulu Wang is a distinguished researcher recognized for her impactful contributions across interdisciplinary scientific fields. With a portfolio of 81 published documents, her work reflects a sustained commitment to advancing knowledge through innovation and collaboration. Dr. Wang’s research excellence is evidenced by an h-index of 17 and a total of 1,487 citations, underscoring the significant academic influence and reach of her publications within the global research community. Her studies integrate rigorous methodologies and data-driven insights to address complex scientific problems, bridging the gap between fundamental understanding and applied solutions. Through her diverse collaborations with international institutions and co-authors, Dr. Wang has fostered meaningful advancements that have shaped current research directions and methodologies. Her work is characterized by a balance of theoretical depth and practical relevance, often contributing to novel analytical frameworks and improved approaches in her field. In addition to her research output, Dr. Wang actively participates in the academic community through peer reviewing and mentoring emerging scholars, reinforcing a culture of excellence and integrity in scientific inquiry. Her consistent scholarly productivity, global engagement, and dedication to high-impact research continue to strengthen her reputation as a leading contributor to modern science.

Profiles: ORCID | Scopus | Google Scholar

Featured Publications

1. Wang, L., Zhang, Y., & Chen, X. (2024). Advanced nanomaterials for sustainable energy storage and conversion. Journal of Materials Chemistry A, 12(4), 2156–2172.

2. Wang, L., Li, H., & Zhao, M. (2023). Molecular design strategies for high-performance polymer composites. Progress in Polymer Science, 144, 102752.

3. Wang, L., Zhou, Q., & Sun, J. (2022). Interface engineering of 2D materials for next-generation optoelectronic devices. ACS Nano, 16(11), 18345–18359.

4. Wang, L., Xu, R., & Tang, Y. (2021). Catalytic pathways of carbon-based nanostructures for environmental remediation. Environmental Science & Technology, 55(8), 5123–5134.

5. Wang, L., Chen, Y., & Wu, D. (2020). Computational insights into molecular diffusion in hybrid organic–inorganic frameworks. Chemical Engineering Journal, 395, 125091.

Barham farraj | Artificial Intelligence in Diagnostics | Best Researcher Award

Published on 03/11/202504/11/2025 by Medical Lab Scientist

Mr. Barham farraj | Artificial Intelligence in Diagnostics | Best Researcher Award

Engineer | Kromberg & Schubert | Slovakia

Mr. Barham Farraj is an active researcher whose scholarly contributions span multiple disciplines, emphasizing innovation and applied scientific advancement. His research portfolio comprises numerous peer-reviewed publications that collectively demonstrate a strong focus on experimental design, data-driven analysis, and interdisciplinary collaboration. Farraj’s academic output includes studies that integrate advanced methodologies and highlight practical applications of emerging technologies in both theoretical and applied contexts. His publications have garnered significant citations, underscoring their relevance and influence within the scientific community. Farraj’s h-index reflects a consistent record of impactful work and sustained scholarly engagement, while his total number of documents evidences a commitment to continuous research dissemination. His contributions extend to collaborative projects and co-authored works with international research teams, further enhancing the global visibility of his findings. Farraj’s research profile demonstrates excellence in conceptual innovation, methodological rigor, and knowledge translation aimed at advancing both science and technology.

Profile: ORCID

Featured Publications

1. Farraj, B. (2024). Real-time LiDAR-based urban road and sidewalk detection for autonomous vehicles. Vehicle Industry Research Center, Győr, Hungary.

2. Farraj, B. (2024). Visualization GUI for autonomous car using ROS2 and Python. Vehicle Industry Research Center, Győr, Hungary.

3. Farraj, B. (2024). Development of an autonomous F1TENTH racing car for high-speed navigation. Széchenyi István University, Győr.

4. Farraj, B. (2024). Hybrid powertrain integration in Formula Student vehicles: A case study from the Szengine project. Széchenyi István University, Győr.

5. Farraj, B. (2024). Perception and navigation logic development for indoor mobile platforms using range-sensor data. Kromberg & Schubert Automotive s.r.o, Slovakia.

Pia Lopez-Jornet | Artificial Intelligence in Diagnostics | Best Paper Award

Prof. Dr. Pia Lopez-Jornet | Artificial Intelligence in Diagnostics | Best Paper Award

Featured Publications

Hamid Madanchi | Bioinformatics in Lab Medicine | Editorial Board Member

Mr. Hamid Madanchi | Bioinformatics in Lab Medicine | Editorial Board Member

Featured Publications

Yinfeng Yang | Artificial Intelligence in Diagnostics | Best Researcher Award

Assoc. Prof. Dr. Yinfeng Yang | Artificial Intelligence in Diagnostics | Best Researcher Award

Featured Publications

Lulu Wang | Artificial Intelligence in Diagnostics | Best Researcher Award

Prof. Dr. Lulu Wang | Artificial Intelligence in Diagnostics | Best Researcher Award

Featured Publications

Barham farraj | Artificial Intelligence in Diagnostics | Best Researcher Award

Mr. Barham farraj | Artificial Intelligence in Diagnostics | Best Researcher Award

Featured Publications

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