Disha Dhabarde | Health Informatics | Best Diagnostic Innovation Award

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Ms. Disha Dhabarde | Health Informatics | Best Diagnostic Innovation Award

Assistant Professor | Kamla Nehru College of Pharmacy |  India

Ms. Disha M. Dhabarde is a researcher affiliated with Kamla Nehru College of Pharmacy, specializing in pharmaceutical and medicinal chemistry with a focus on anticancer drug development. Her research encompasses the design, synthesis, characterization, and molecular docking of novel compounds, particularly targeting Breast Cancer. With 11 publications, 105 citations, and an h-index of 7, she demonstrates strong academic productivity and growing research impact. Collaborating with a network of co-authors, her work reflects interdisciplinary engagement in drug discovery and computational modeling. Her contributions are significant in advancing potential therapeutic agents and supporting precision medicine approaches. Through her research, she contributes to addressing global cancer challenges, enhancing drug innovation, and promoting improved treatment strategies that benefit patient care and public health outcomes.

Citation Metrics (Scopus)

105
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105

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11

h-index

7

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Hui Saan Tham | Translational Research | Research Excellence Award

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Dr. Hui Saan Tham | Translational Research | Research Excellence Award

Director | Han Neuro Acupuncture & Herbal Specialist | Malaysia

Dr. Hui Saan Tham is the Chief Physician at Han Neuro Acupuncture and Herbal Specialists, specializing in translational research that integrates acupuncture, herbal medicine, and advanced medical technologies. Their recent publication on an EfficientNet-based deep learning system for ultrasound assessment of neck disorders reflects a pioneering approach to combining artificial intelligence with clinical diagnostics. Working collaboratively with multidisciplinary teams, they contribute to the development of innovative, evidence-based healthcare solutions. Although at an emerging stage in terms of publication count and citation metrics, their work demonstrates strong potential for impact in integrative and precision medicine. Their contributions hold significant societal value by promoting accessible, non-invasive therapeutic strategies and enhancing diagnostic accuracy, particularly in neuromuscular conditions, thereby supporting improved patient outcomes and advancing global healthcare innovation.

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Yousun An | Endocrinology | Research Excellence Award

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Dr. Yousun An | Endocrinology | Research Excellence Award

The Westmead Institute for Medical Research | Australia

Dr. An Yousun is a researcher affiliated with the Faculty of Medicine and Health in Sydney, specializing in metabolic and endocrine health, particularly Diabetes Mellitus. With a scholarly output of 5 publications and 24 citations, and an h-index of 2, their work contributes to understanding pancreatic beta-cell stress, identity, and dysfunction. Their research reflects growing collaboration within a network of over 40 co-authors, indicating active engagement in multidisciplinary scientific efforts. Through contributions to diabetes research, their work supports advancements in disease mechanisms and potential therapeutic strategies, carrying meaningful implications for global public health.

Citation Metrics (Scopus)

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24

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5

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Featured Publications

Dennis De Champeaux | Primary Care | Best Researcher Award

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Dr. Dennis De Champeaux | Primary Care | Best Researcher Award

University of Amsterdam | United States

Dr. Dennis de Champeaux is a distinguished researcher recognized for his contributions to artificial intelligence, automated reasoning, and computational algorithms. With a Scopus profile reflecting 38 scholarly publications and 236 citations, he has established a measurable research impact, supported by an h-index of 7. His work spans foundational algorithmic development and applied AI systems, including contributions to medical diagnosis algorithms and AI-based assessment frameworks, demonstrating an interdisciplinary approach bridging computer science and healthcare innovation. Notably, his publication on faster linear unification algorithms highlights his expertise in logic programming and symbolic computation. Collaborating with a diverse network of over 35 co-authors, he contributes to advancing intelligent systems and computational efficiency. His research carries societal relevance by supporting improved decision-making in healthcare and enhancing the performance of AI-driven analytical tools, reflecting a commitment to both scientific advancement and real-world applications.

Citation Metrics (Scopus)

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38

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Featured Publications


Medical Diagnosis Algorithm

– Chapter, Feb 2025, Dennis de Champeaux

AI Assessment

– Conference Paper, Feb 2024, Dennis de Champeaux

Hybrid Quicksort for Referenced Items with 1 and 3 Pivots

– Preprint, Jan 2024, Dennis de Champeaux

Hybrid Quicksort for Referenced Items with 1 and 3 pivots

– Preprint, Aug 2023, Dennis de Champeaux

Dutch Flag Algorithm 2.0 for Quicksort

– Preprint, Mar 2023, Dennis de Champeaux