Wasiu Akande Ahmed | Artificial Intelligence in Diagnostics | Research Excellence Award

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Assist. Prof. Dr. Wasiu Akande Ahmed | Artificial Intelligence in Diagnostics | Research Excellence Award

Assistant Professor | Hangzhou International Innovation Institute of Beihang University | China

Dr. Wasiu Akande Ahmed is an accomplished researcher whose work centers on advanced challenges in global navigation satellite systems (GNSS), satellite communication, and space-based sensing technologies. His research portfolio spans GNSS signal processing, multipath and interference mitigation, signal delay modeling, and noise reduction, with significant contributions to AI-enhanced error correction and system optimization. He is widely recognized for pioneering studies in GNSS reflectometry for environmental monitoring and GNSS-based weather forecasting using radio occultation techniques. His interdisciplinary research further extends to UAV-enabled applications, precision agriculture, climate-smart farming, food security, and 5G–GNSS integration for next-generation location-based services. With numerous publications in high-impact journals and international conferences, multiple patents, and authorship of scholarly books and chapters, his work demonstrates strong translational potential. Through collaborative and innovative research, he continues to advance the frontiers of satellite navigation, remote sensing, and resilient positioning technologies.

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Anastasios Koulaouzidis | Artificial Intelligence in Diagnostics | Research Excellence Award

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Prof. Dr. Anastasios Koulaouzidis | Artificial Intelligence in Diagnostics | Research Excellence Award

Clinical Professor | University of Southern Denmark | Denmark

Dr. Anastasios Koulaouzidis is an internationally recognized researcher in gastroenterology with a primary focus on capsule endoscopy, minimally invasive gastrointestinal diagnostics, and the clinical integration of artificial intelligence in endoscopic practice. His scholarly work has significantly shaped quality metrics, consensus guidelines, and real-world implementation strategies for small-bowel and colon capsule endoscopy across Europe and beyond. He has authored 352 peer-reviewed scientific documents, encompassing original research, systematic reviews, meta-analyses, consensus statements, and guideline contributions, reflecting sustained productivity and leadership in translational and clinical research. His publications have collectively attracted 7,744 citations, underscoring their broad scientific influence and adoption within the global gastroenterology community, and he holds an h-index of 49, indicating consistent high-impact output over time. His research portfolio bridges diagnostic innovation, health-care efficiency, and patient-centered outcomes, with particular emphasis on quality improvement, standardization, and future-ready technologies in gastrointestinal endoscopy.

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Fei Chen | Histopathology & Cytology | Research Excellence Award

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Dr. Fei Chen | Histopathology & Cytology | Research Excellence Award

Assistant Profesor | NYU Grossman school of Medicine | United States

Dr. Fei Chen is a clinician-scientist and academic pathologist with a sustained research focus on molecular pathology, cytopathology, and translational diagnostics. Their scholarly work spans cancer genomics, liquid biopsy, molecular testing of cytology specimens, and the integration of advanced technologies such as next-generation sequencing and artificial intelligence into diagnostic pathology. With 16 peer-reviewed documents, their publications appear in high-impact journals across pathology, oncology, and molecular medicine, reflecting contributions to bladder, prostate, thyroid, lung, and neurodegenerative disease research. This body of work has accrued approximately 75 citations, underscoring its relevance and influence within the research community. An h-index of 5 highlights consistent scholarly impact across multiple publications. In addition to original research and systematic reviews, their work includes multi-institutional studies and method-validation research that bridges laboratory innovation with clinical application, contributing to evidence-based advancements in modern diagnostic and molecular pathology.

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75
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Archondakis Stavros | Histopathology & Cytology | Research Excellence Award

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Dr. Archondakis Stavros | Histopathology & Cytology | Research Excellence Award

Director | Alpha Prolipsis Medical Laboratories | Greece

Dr. Archondakis Stavros is is a researcher with a strong scholarly focus on cytopathology, telecytology, laboratory quality systems, and digital health applications in diagnostic pathology. His research portfolio encompasses 49 peer-reviewed documents, reflecting sustained contributions to international journals, edited volumes, and book chapters that address diagnostic accuracy, quality assurance, and the implementation of ISO 15189 standards in laboratory medicine. With an h-index of 9 and 313 citations, his work demonstrates measurable impact within the scientific community, particularly in advancing telecytology, mobile health technologies, and laboratory information systems. His publications frequently explore the integration of emerging technologies into cytopathology workflows, aiming to enhance diagnostic reliability, proficiency testing, and remote consultation. Through a consistent research output spanning methodological, applied, and translational studies, his scholarship has contributed to improving quality management practices and innovation in modern cytopathology and laboratory medicine.

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Marilyn Bui | Histopathology & Cytology | Outstanding Contribution to Medical Science Award

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Prof. Dr. Marilyn Bui | Histopathology & Cytology | Outstanding Contribution to Medical Science Award

Professor Physician | Moffitt Cancer Center | United States

Dr. Marilyn Bui is a highly accomplished research-driven scientist whose scholarly work has made a substantial impact across pathology, oncology, digital pathology, and artificial intelligence–enabled diagnostics. Her research portfolio comprises 209 peer-reviewed publications, reflecting sustained productivity and leadership in translational and computational pathology. With 10,095 citations and an h-index of 51, her work demonstrates strong global influence and consistent citation performance across high-impact journals. Her research contributions span tumor biology, soft tissue and bone pathology, radiomics, digital and computational pathology, machine learning applications in diagnostics, and biomarker-driven precision medicine. She has played a pivotal role in advancing evidence-based pathology standards, multi-institutional consensus guidelines, and AI validation frameworks for clinical implementation. Through interdisciplinary collaborations, her research bridges molecular pathology, imaging analytics, and data science, supporting clinically actionable insights and innovation in cancer diagnostics. Her sustained citation impact and extensive publication record underscore her standing as a leading contributor to contemporary biomedical and translational pathology research.

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Helala AlShehri | Artificial Intelligence in Diagnostics | Research Excellence Award

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Prof. Helala AlShehri | Artificial Intelligence in Diagnostics | Research Excellence Award

Assistant Professor | Jubail Industrial College | Saudi Arabia

Prof. Helala Mohammad AlShehri is a research-focused scholar in computer science whose work centers on artificial intelligence, deep learning, and data-driven methodologies with applications in medical imaging and intelligent systems. The research portfolio comprises 6 peer-reviewed documents published in reputable indexed journals, reflecting sustained contributions to methodological development and applied AI research. These works have collectively received 97 scholarly citations, demonstrating measurable academic impact and visibility within the research community. With an h-index of 5, the body of work indicates consistent citation performance across multiple publications, highlighting both productivity and influence. The research emphasizes model robustness, interpretability, and performance optimization, particularly in pattern recognition, image analysis, and computational intelligence. Through interdisciplinary collaboration and rigorous experimental validation, the contributions advance the integration of AI techniques into real-world analytical and diagnostic frameworks. Overall, the scholarly output reflects a focused, impact-oriented research trajectory supported by recognized citation metrics and peer-reviewed dissemination.

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Craig Rogers | Clinical Chemistry | Research Excellence Award

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Dr. Craig Rogers | Clinical Chemistry | Research Excellence Award

Doctor | Henry Ford Health | United States

Dr. Craig G. Rogers, MD, FACS, is a globally recognized leader in urologic oncology and robotic surgery, with a distinguished academic record of 334 peer-reviewed publications, 11,699 citations, and an h-index of 55. His research has substantiallyadvanced robotic partial nephrectomy, cytoreductive nephrectomy, prostate cancer surgery, and minimally invasive management of complex renal and adrenal tumors. A key contributor to major multi-institutional collaborations such as the Vattikuti Collective Quality Initiative and the Michigan Urological Surgery Improvement Collaborative (MUSIC), Dr. Rogers has generated high-impact evidence on surgical quality, renal functional preservation, predictive modeling, and perioperative optimization. His work integrates machine learning, real-world registry data, multicenter outcomes, and translational oncology to refine prognostication in kidney and prostate cancers. He has also led and contributed to clinical trials in renal cell carcinoma, prostate cancer immunotherapy, and BCG optimization. Through scientific leadership, guideline development, editorial service, and education, Dr. Rogers continues to shape international standards in urologic cancer care.

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Marek Markiewicz | Artificial Intelligence in Diagnostics | Research Excellence Award

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

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

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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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