Doctor | Markiewicz Clinic Spolka z Ograniczona Odpowiedzialnoscia | Poland

Dr. Marek Markiewicz is a dedicated researcher whose work spans advanced methodological development, evidence-based investigation, and translational innovation across interdisciplinary scientific domains. Their research program emphasizes rigorous study design, analytical precision, and the generation of reproducible data to address complex scientific and clinical challenges. Over the course of their career, they have contributed to multiple peer-reviewed publications, conference presentations, and collaborative research initiatives, with an emphasis on developing optimized protocols, improving diagnostic accuracy, and expanding the scientific understanding of emerging technologies. Their scholarly output reflects continuous engagement with cutting-edge research themes, including biomarker discovery, molecular mechanisms underlying disease processes, experimental model refinement, and data-driven approaches to laboratory and clinical investigation. Through active participation in cross-disciplinary collaborations, they have facilitated the integration of laboratory evidence with real-world applications, promoting innovations that enhance scientific practice and support sustainable research growth. Their ongoing work involves supervising laboratory workflows, implementing quality-assurance frameworks, and contributing to grant-supported research aimed at expanding methodological capabilities. With a sustained record of citations, research productivity, and scientific impact, Dr. Markiewicz continues to advance their field through meticulous experimentation, critical analysis, and the dissemination of high-quality evidence, maintaining a long-term commitment to generating robust, generalizable knowledge that strengthens scientific standards and contributes meaningfully to the global research community.

Profile: ORCID

Featured Publications

Markiewicz, M., Zarański, T., & Starzyńska, A. (2015). Maxillary sinus lift via lateral approach as a predictable technique for improving the quality of life of patients with posterior maxillary edentulism: Description of three clinical cases. Dental Implantology.
Markiewicz, M., & Nowicki, A. A. (2025). Accuracy of computer-guided dental implant placement: A clinical comparison of three surgical guide types. Journal of Clinical Medicine, 14, 8652.
Markiewicz, M. Immunohistochemical and molecular analysis of transcription factors SNAIL1, SNAIL2, ZNF281 regulating the epithelial–mesenchymal transition in oral cavity cancer (Doctoral dissertation, Medical University of Gdańsk).
Markiewicz, M., & Starzyńska, A. (in press). Advances in minimally invasive implantology: Evaluation of lateral sinus lift techniques using contemporary imaging modalities. International Journal of Oral Implant Research.
Markiewicz, M. (under review). Comparative assessment of digital workflow precision in dental implant placement: A systematic review and meta-analytic approach. Clinical Oral Investigations.

Vicente Navarro Lopez | Artificial Intelligence in Diagnostics | Excellence in Research Award

Published on 09/12/2025 by Medical Lab Scientist

Prof. Dr. Vicente Navarro Lopez | Artificial Intelligence in Diagnostics | Excellence in Research Award

Professor Doctor | Universidad Catolica de Murcia | Spain

Prof. Dr. Vicente Navarro Lopez has established a strong research profile marked by 2246 citations, an h-index of 23, and an i10-index of 34, reflecting sustained scholarly influence and consistent contributions to the scientific community. His work spans a wide range of research themes, integrating rigorous methodological approaches with a commitment to advancing evidence-based knowledge across interdisciplinary domains. Through continuous publication in high-impact, peer-reviewed journals, he has contributed analytical frameworks, experimental insights, and data-driven findings that have shaped current understanding and informed subsequent investigations. His research portfolio demonstrates a deliberate focus on generating reproducible, high-quality scientific outputs that address emerging challenges, refine existing conceptual models, and expand foundational knowledge within his field. Many of his publications are widely referenced, signifying enduring relevance and positioning his work as a resource for ongoing inquiry and methodological development. He frequently engages with collaborative research efforts, contributing expertise that strengthens cross-disciplinary knowledge exchange and fosters innovation. His scholarly record highlights an emphasis on translational significance, ensuring that theoretical advances interface meaningfully with practical applications and future research directions. Through sustained scientific productivity, methodological rigor, and commitment to advancing the research landscape, Vicente Navarro López has become a recognized contributor whose work continues to influence and enrich the broader academic community.

Profile: Google Scholar

Featured Publications

1. Navarro-López, V., Ramos, J. M., Meseguer, V., Arellano, J. L., Serrano, R., … (2009). Microbiology and outcome of iliopsoas abscess in 124 patients. Medicine (Baltimore), 88(2), 120–130.

2. Codoñer, F. M., Ramírez-Boscá, A., Climent, E., Carrión-Gutiérrez, M., …, Navarro-López, V. (2018). Gut microbial composition in patients with psoriasis. Scientific Reports, 8(1), 3812.

3. Navarro-López, V., Ramírez-Boscá, A., Ramón-Vidal, D., Ruzafa-Costas, B., … (2018). Effect of oral administration of a mixture of probiotic strains on SCORAD index and use of topical steroids in young patients with moderate atopic dermatitis: A randomized clinical trial. JAMA Dermatology, 154(1), 37–43.

4. Navarro-López, V., Martínez-Andrés, A., Ramírez-Boscá, A., Ruzafa-Costas, B., … (2019). Efficacy and safety of oral administration of a mixture of probiotic strains in patients with psoriasis: A randomized controlled clinical trial. Acta Dermato-Venereologica, 99(12), 1078–1084.

5. Sánchez-Pellicer, P., Navarro-López, V., Moratalla, I., Núñez-Delegido, E., … (2022). Acne, microbiome, and probiotics: The gut–skin axis. Microorganisms, 10(7), 1303.

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.

Fan Ren | Point-of-Care Testing | Best Researcher Award

Published on 15/11/202502/12/2025 by Medical Lab Scientist

Prof. Fan Ren | Point-of-Care Testing | Best Researcher Award

Fan Ren | University of Florida | United States

Dr. Fan Ren is an internationally distinguished researcher whose pioneering contributions have profoundly shaped the fields of semiconductor device engineering, wide-bandgap materials, and electronic sensor technologies. With an exceptional scholarly impact reflected in 63,712 citations, an h-index of 112, and an i10-index of 1,021, Dr. Ren stands among the most influential scientists in advanced materials and applied electronic systems. His research spans the development of high-performance gallium nitride (GaN) and silicon carbide (SiC) devices, novel doping techniques, and breakthrough advancements in high-temperature and radiation-hardened electronics. Dr. Ren’s innovative work on chemical and biological sensors has enabled transformative applications in environmental monitoring, medical diagnostics, defense technologies, and industrial safety, significantly expanding the global impact of semiconductor-based sensing platforms. His collaborations have fostered multidisciplinary progress, integrating materials science, electrical engineering, and applied physics to address complex challenges in next-generation electronic devices. Over his prolific career, Dr. Ren has published extensively in top-tier journals, consistently producing high-quality, high-impact research that drives both fundamental understanding and technological innovation. His contributions have advanced fabrication methods, improved device reliability, and opened new avenues for sensing and power electronics, influencing academic research, industrial development, and national technological capabilities. A leader, mentor, and visionary, Dr. Ren continues to inspire emerging scientists while shaping the future of semiconductor technology through sustained excellence in research, collaboration, and innovation.

Profile: Google Scholar

Featured Publications

Ren, F., & Pearton, S. J. (2003). Wide bandgap semiconductor sensors: A review. Critical Reviews in Solid State and Materials Sciences, 28(3), 119–168.
Ren, F., Abernathy, C. R., & Pearton, S. J. (1998). GaN-based high electron mobility transistors for high-power applications. Solid-State Electronics, 42(5), 507–518.
Ren, F., Pearton, S. J., & Zolper, J. C. (1997). Ion implantation in GaN and related materials. Materials Science and Engineering: R: Reports, 21(4–5), 1–51.
Ren, F., Pearton, S. J., & Van Hove, J. (2001). Advances in GaN electronic device technology. Journal of Vacuum Science & Technology B, 19(6), 2131–2142.
Ren, F., Pearton, S. J., Wang, H., et al. (2003). GaN-based chemical and biological sensors. Applied Physics Letters, 82(18), 2958–2960.

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.

Yi Wan | Point-of-Care Testing | Best Researcher Award

Published on 14/10/202515/10/2025 by Medical Lab Scientist

Prof. Dr. Yi Wan | Point-of-Care Testing | Best Researcher Award

Dean | Hainan University | China

Dr. Yi Wan is a distinguished scientist at Hainan University, Haikou, China, recognized internationally for his exceptional contributions to nanomaterials, biosensing, polymer chemistry, and molecular diagnostics. With an impressive portfolio of 84 peer-reviewed publications, his research has garnered 3,169 citations, demonstrating a remarkable h-index of 32, which reflects both the depth and consistent influence of his scientific output. Dr. Wan’s multidisciplinary work focuses on the design and application of advanced biomaterials and molecular tools for rapid and precise pathogen detection, bridging the gap between laboratory innovation and clinical implementation. His pioneering studies, such as “Ultrasensitive detection of clinical pathogens through a target-amplification-free collateral-cleavage-enhancing CRISPR-CasΦ tool” published in Nature Communications, and “Synthesis, Characterization, and Cytotoxic Activity of Stable Selenium Nanoparticles-Incorporated Carboxymethylcellulose Solution” in Polymers for Advanced Technologies, exemplify his commitment to developing next-generation biosensors and functionalized materials for healthcare and environmental monitoring. Beyond these, his influential research appears in renowned journals including Biosensors and Bioelectronics, Sensors and Actuators B: Chemical, and Analyst, where he advances the frontiers of molecular diagnostics, PAM-free CRISPR-based assays, and microfluidic-driven detection systems. Over his career, Dr. Wan has collaborated with more than 200 international co-authors and contributed to 11 preprints, reflecting his strong global research network and dedication to open scientific exchange. His investigations into the supramolecular structure of cellulose, biopolymer modification, and nanomaterial toxicity provide new insights into sustainable biomaterial applications and translational bioscience. Through his relentless pursuit of innovation, Dr. Wan has positioned himself as a leading voice in the integration of biotechnology, chemistry, and engineering to address emerging global health challenges. His scholarly impact, reflected through extensive publication output, high citation metrics, and international collaborations, underscores his reputation as a visionary researcher driving the evolution of molecular engineering, diagnostic technology, and sustainable biomedical solutions.

Profiles: Scopus | Google Scholar

Featured Publications

1. Wan, Yi, et al. “Ultrasensitive detection of clinical pathogens through a target-amplification-free collateral-cleavage-enhancing CRISPR-CasΦ tool.” Nature Communications, 2025.

2. Wan, Yi, et al. “Synthesis, Characterization, and Cytotoxic Activity of Stable Selenium Nanoparticles-Incorporated Carboxymethylcellulose Solution.” Polymers for Advanced Technologies, 2025

3. Wan, Yi, et al. “Rapid LAMP-driven strand displacement for PAM-free CRISPR-based pathogen diagnostics.” Sensors and Actuators B: Chemical, 2024.

4. Wan, Yi, et al. “Ultrasensitive detection of Salmonella typhi using a PAM-free Cas14a-based biosensor.” Biosensors and Bioelectronics, 2024.

5. Wan, Yi, et al. “Real-time microbial growth curve (RMGC) system: an improved microplate reader with a graphical interface for automatic and high-throughput monitoring of microbial growth curves.” Analyst, 2025.

Marek Markiewicz | Artificial Intelligence in Diagnostics | Research Excellence Award

Dr. Marek Markiewicz | Artificial Intelligence in Diagnostics | Research Excellence Award

Featured Publications

Vicente Navarro Lopez | Artificial Intelligence in Diagnostics | Excellence in Research Award

Prof. Dr. Vicente Navarro Lopez | Artificial Intelligence in Diagnostics | Excellence in Research Award

Featured Publications

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

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

Featured Publications

Fan Ren | Point-of-Care Testing | Best Researcher Award

Prof. Fan Ren | Point-of-Care Testing | Best Researcher Award

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

Yi Wan | Point-of-Care Testing | Best Researcher Award

Prof. Dr. Yi Wan | Point-of-Care Testing | Best Researcher Award

Featured Publications

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