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

 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

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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  

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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

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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  

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

Professor | Reykjavik University | Iceland

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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  

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