Elena Stamate | Machine Learning and AI Applications | Best Researcher Award

Dr. Elena Stamate | Machine Learning and AI Applications | Best Researcher Award

Faculty of Medicine and Pharmacy, University Dunarea de Jos of Galati | Romania

Dr. Stamate Elena is an accomplished Romanian cardiologist, educator, and researcher whose career bridges the domains of clinical cardiology, academic teaching, and medical innovation. Serving as both an Assistant Lecturer and a practicing Cardiology Resident Doctor, she is recognized for her contributions to advancing diagnostic and therapeutic strategies in cardiovascular medicine. Her work, particularly in cardiogenic shock prediction and the integration of artificial intelligence in cardiology, has earned her a respected position in Romania’s medical and academic community. She is an active member of the Romanian College of Physicians and the Romanian Society of Cardiology, actively engaging in scientific discourse at both national and international levels.

Professional Profile

ORCID

Education

Dr. Stamate earned her Bachelor’s degree in Medicine from the Faculty of Medicine and Pharmacy at “Dunărea de Jos” University of Galați. Her academic training provided a solid foundation in general medicine and clinical sciences, which she has since built upon through advanced research in cardiology, physiology, and multidisciplinary approaches to complex cardiac conditions. As a PhD student, she continues to deepen her expertise, focusing on predictive modeling, cardiovascular pathophysiology, and AI-assisted diagnostics.

Experience

Professionally, Dr. Stamate has held dual roles that complement each other—Assistant Lecturer at the Department of Morphological and Functional Sciences, Faculty of Medicine and Pharmacy, “Dunărea de Jos” University of Galați, and Cardiology Resident Doctor at University Emergency Hospital Bucharest. In her academic role, she is dedicated to teaching cardiology and physiology to medical students, coordinating scientific research activities, and mentoring future physicians. In the clinical setting, she provides specialized care for patients with acute and chronic cardiovascular diseases, often managing complex and high-risk cases. Her experience spans both hospital-based interventions and academic research, enabling her to integrate evidence-based medicine into real-world practice.

Research Interest

Dr. Stamate’s research interests lie at the intersection of cardiology, artificial intelligence, and predictive modeling. She has extensively studied cardiogenic shock in ST-elevation myocardial infarction (STEMI) patients, focusing on early detection and risk stratification using AI-based predictive models. Her work also explores big data applications in cardiology, personalized treatment approaches, and the role of multidisciplinary collaboration in managing complex cardiac cases. Additionally, she has contributed to research on infective endocarditis, myocardial infarction, intracardiac hemodynamics, and AI applications in forensic medicine, reflecting her versatility and interdisciplinary mindset.

Awards and Recognition

Dr. Stamate has been honored for her academic and research excellence at multiple scientific conferences. She has received awards for best presentations, including first prize at the Galmed Congress for her case-based study on myocardial infarction, as well as recognition for her contributions to doctoral research conferences. Her publications in high-impact, Q1-ranked journals such as Journal of Clinical Medicine, Diagnostics, and Antibiotics further underscore her influence in the field. She has been invited as a lecturer at numerous cardiology conferences and interdisciplinary medical events, sharing her expertise on topics ranging from anticoagulation in pregnancy to updates in cardiogenic shock management.

Publications

Stamate, E., Culea-Florescu, A.-L., Miron, M., Piraianu, A.-I., Dumitrascu, A.G., Fulga, I., Fulga, A., Patrascanu, O.S., Iancu, D., Ciobotaru, O.C., et al. (2025). “Dynamic Predictive Models of Cardiogenic Shock in STEMI: Focus on Interventional and Critical Care Phases” in Journal of Clinical Medicine .

Stamate, E., Culea-Florescu, A.-L., Miron, M., Piraianu, A.-I., Dumitrascu, A.G., Fulga, I., Fulga, A., Patrascanu, O.S., Iancu, D., Ciobotaru, O.C., et al. (2025). “AI-Based Predictive Models for Cardiogenic Shock in STEMI: Real-World Data for Early Risk Assessment and Prognostic Insights” in Journal of Clinical Medicine.

Iancu, D., Fulga, A., Vesa, D., Fulga, I., Tutunaru, D., Zenovia, A., Piraianu, A.-I., Stamate, E., Sterian, C., Dimofte, F., et al. (2025). “Immunosuppression and Outcomes in Patients with Cutaneous Squamous Cell Carcinoma of the Head and Neck” in Clinics and Practice.

Ciobotaru, O.C., Duca, O.-M., Ciobotaru, O.R., Stamate, E., Piraianu, A.-I., Dumitrascu, A.G., Constantin, G.B., Matei, M.N., Voinescu, D.C., Luchian, S.-A. (2024). “Hydatid Cysts of the Psoas Muscle: Insights from the Past Five Years” in Life (Cited by 1).

Copciag, R., Bratu, V., Rimbas, R., Stamate, E., Lixandru, T., Corlan, A., Vinereanu, D. (2025). “Comparative Reproducibility of Myocardial Work and Left Ventricular Ejection Fraction in Patients After an Acute Coronary Syndrome” in Preprint .

Ciobotaru, O.C., Stamate, E., Stoleriu, G., Duca, O.M., Piraianu, A.-I., Ciobotaru, O.R. (2024). “The Early Stage Adenocarcinoma of the Gallbladder Incidentally Diagnosed” in Romanian Journal of Oral Rehabilitation.

Conclusion

Through her integrated roles as a physician, educator, and researcher, Dr. Stamate Elena exemplifies the modern clinician-scientist who bridges patient care with academic excellence and technological innovation. Her contributions to predictive cardiology, particularly the application of AI and big data in early diagnosis and personalized therapy, position her as a forward-thinking leader in her field. With her commitment to advancing cardiovascular medicine, fostering medical education, and embracing multidisciplinary collaboration, she continues to shape the future of cardiology in Romania and beyond.

Tian Tian | Data Analysis | Best Researcher Award

Dr. Tian Tian | Data Analysis | Best Researcher Award

The Affiliated Hospital of Qingdao University | China

Dr. Tian Tian is an accomplished Associate Professor of Obstetrics and Gynecology, recognized for her expertise in gynecologic oncology, pelvic floor disorders, and inflammatory diseases affecting women’s health. Combining extensive clinical acumen with a strong foundation in translational research, she bridges the gap between patient care and innovative medical science. Her career reflects a deep commitment to improving surgical outcomes, refining treatment algorithms, and guiding evidence-based protocols in complex gynecologic conditions. She is known for mentoring residents and fellows, fostering the next generation of specialists in women’s health.

Professional Profile

SCOPUS

Education

Dr. Tian Tian earned her Doctor of Philosophy in a specialized field of obstetrics and gynecology, equipping her with advanced scientific, clinical, and analytical skills. Her education included rigorous training in translational medicine, surgical innovation, and data-driven clinical research, enabling her to tackle intricate challenges in gynecologic oncology and pelvic floor disorders. This strong academic foundation provided the tools to integrate cutting-edge technology, such as minimally invasive surgical approaches and predictive analytics, into her medical practice.

Experience

With extensive academic and clinical experience, Dr. Tian serves as an Associate Professor of Obstetrics and Gynecology, leading both patient care and research initiatives. In her role, she oversees surgical and systemic management of gynecologic cancers, incorporating advanced laparoscopic and robotic-assisted procedures. She has pioneered techniques in pelvic floor reconstruction, focusing on improving quality of life for patients suffering from prolapse and incontinence. Her experience extends to the development of clinical pathways for managing recurrent infections and inflammatory gynecologic conditions. Dr. Tian is equally committed to teaching, supervising residents and fellows, and promoting excellence in surgical skill acquisition and patient-centered care.

Research Interest

Dr. Tian’s research lies at the intersection of clinical practice and translational science. She specializes in utilizing large-scale clinical datasets to optimize oncology treatment algorithms, particularly identifying biomarkers and predictors of therapeutic response, such as those for PARP inhibitor efficacy in ovarian cancer. Her research also incorporates cost-effectiveness analyses of novel therapies, ensuring that innovative treatments are not only clinically effective but also economically viable for broader healthcare systems. She maintains a strong interest in refining surgical interventions for pelvic floor disorders and in developing evidence-based guidelines for managing chronic inflammatory conditions in gynecology.

Awards

Dr. Tian’s contributions to women’s health have been recognized through academic honors, professional awards, and invitations to present at leading medical conferences. Her innovative approaches in gynecologic oncology and pelvic floor reconstruction have earned her accolades from both clinical and research communities. Her role as a mentor has also been acknowledged through teaching awards, reflecting her dedication to education and leadership in her field.

Publications

Comparative effectiveness and safety of treatment regimens for recurrent advanced ovarian cancer: a systematic review and network meta-analysis
  • Authors: Xingfa Huo, Tian Tian, Xiaochun Zhang, Na Zhou

  • Journal: World Journal of Surgical Oncology

  • Year: 2025

Clinical characteristics and prognosis of rhabdomyosarcoma in the female reproductive system: a population-based analysis using SEER data
  • Authors: Xinyan Gao, Yan Kong, Ying Ning, Zhumei Cui, Ke Lei, Tian Tian

  • Journal: International Journal of Gynecological Cancer

  • Year: 2025

Conclusion

Dr. Tian Tian’s career embodies a rare balance of surgical excellence, scientific rigor, and compassionate care. Her impact extends beyond the operating room and research laboratory, shaping the future of obstetrics and gynecology through innovation, mentorship, and dedication to patient outcomes. By integrating data science, precision medicine, and advanced surgical techniques, she continues to push the boundaries of women’s healthcare. Her work not only transforms individual patient journeys but also influences clinical guidelines and healthcare policy, leaving a lasting legacy in the field.

Nora Katabi | Salivary gland cancer | Best Researcher Award

Dr. Nora Katabi | Salivary gland cancer | Best Researcher Award

Memorial Sloan-Kettering Cancer Center  | United States

Author Profile

Scopus

Summary

Dr. Nora Katabi is a board-certified anatomic and clinical pathologist with extensive expertise in head and neck pathology, particularly salivary gland neoplasms. She currently serves as a Tenured Member and Attending Pathologist in the Department of Pathology at Memorial Sloan Kettering Cancer Center (MSKCC) in New York. With over two decades of academic and clinical experience, Dr. Katabi has established herself as a thought leader in oncologic surgical pathology. She actively contributes to international pathology committees and serves in editorial roles for leading scientific journals. Her career reflects a strong integration of clinical practice, translational research, education, and institutional leadership, advancing precision diagnostics in head and neck cancer.

Education

Dr. Katabi earned her M.D. from Damascus University School of Medicine, Syria, in 1997. She completed multiple externships in internal medicine, cardiovascular medicine, cytogenetics, and ambulatory cardiology at institutions including Brigham and Women’s Hospital (Harvard Medical School) and Wayne State University. She completed her residency in Anatomic and Clinical Pathology and served as Chief Resident at Baylor University Medical Center in Dallas. She then completed a fellowship in Oncologic Surgical Pathology at MSKCC, further solidifying her expertise in cancer pathology.

Professional Experience

Dr. Katabi began her tenure at MSKCC in 2006 as an Instructor and Chief Fellow, progressing to Assistant, Associate, and now Tenured Member of the pathology faculty. Clinically, she has advanced from Assistant to Attending Pathologist, specializing in surgical pathology of the head and neck. From 2017 to 2023, she served as Associate Program Director for the Oncologic Surgical Pathology Fellowship, overseeing fellow education, selection, and evaluation. She is a dedicated educator, delivering didactic lectures and participating in clinical training. Her involvement in the Fellowship Committee and numerous national and international presentations further demonstrates her leadership and academic engagement.

Research Interests

Dr. Katabi’s research focuses on histopathologic and molecular characterization of salivary gland tumors, particularly in identifying genetic alterations, molecular markers, and prognostic features. She has led multiple funded studies as Principal Investigator, including work on NR4A3 abnormalities in acinic cell carcinoma and PRKD gene alterations in polymorphous adenocarcinomas. Her additional research in squamous cell carcinoma of the head and neck contributes to improved tumor classification, grading, and clinical management. Dr. Katabi’s work supports a translational approach, bridging laboratory research with patient care to enhance diagnostic precision.

Publications

 Nodal Metastasis in Low Grade Salivary Gland Carcinoma: A Retrospective Analysis of Incidence, Histologic Spectrum and Outcome
Comprehensive Clinicopathologic, Morphologic, and Molecular Evaluation and Outcomes in Polymorphous Adenocarcinoma Tumors With Applicability of a 2‑Tiered Grading System
  • Author(s): (Authors not specified in preview)

  • Journal: Modern Pathology

  • Year: 2025

Sympathetic axonogenesis promotes adenoid cystic carcinoma progression
  • Author(s): Chun‑Hao Chen, Boris Reva, Nora Katabi, Avishai Wizel, Hongbo Xu, Alan L. Ho, Luc G. T. Morris, Richard L. Bakst, Anuraag S. Parikh, Yotam Drier, Sylvie Deborde, Richard J. Wong

  • Journal: Journal of Experimental Medicine

 

Rami Al-Rifai | Social Impact | Excellence in Research

Assoc Prof Dr. Rami Al-Rifai | Social Impact | Excellence in Research

 United Arab Emirates University | United Arab Emirates

Publication Profile

Scopus
Orcid
Google Scholar

INTRODUCTION 🏥

DR. RAMI AL-RIFAI is an Associate Professor of Epidemiology at the United Arab Emirates University (UAEU), where he has contributed significantly to public health research and education. A leader in the field of epidemiology, he has been recognized globally as one of the Top 2% most highly cited scientists from Stanford University for four consecutive years (2021-2024). Dr. Rami’s remarkable achievements span multiple facets of epidemiology, including infectious disease research, public health, and healthcare policy.

EARLY ACADEMIC PURSUITS 🎓

Dr. Rami’s academic journey began with his Bachelor’s and Master’s Degrees in Veterinary Medicine and Surgery from Jordan University of Science & Technology, completed in 2004 and 2007, respectively. His early training in medicine laid the foundation for his career in public health. He pursued a PhD in Public Health and Epidemiology from Tokyo Medical and Dental University, where he specialized in global health promotion. Upon completing his doctoral studies in 2014, Dr. Rami embarked on an illustrious career dedicated to advancing epidemiological research and teaching.

PROFESSIONAL ENDEAVORS 🧑‍⚕️

Since joining UAE University in 2017, Dr. Rami has been instrumental in shaping the institution’s research environment. His roles include Associate Professor of Epidemiology, Director of the PhD Program in Public Health, and Deputy Director of the MPH program. Dr. Rami has not only been a dedicated educator but has also held leadership roles in national health initiatives, including contributing to critical COVID-19 epidemiology efforts in the UAE.

CONTRIBUTIONS AND RESEARCH FOCUS  ON Social Impact🧬

Dr. Rami’s research spans both infectious and non-infectious diseases, with a particular emphasis on zoonotic diseases and their public health implications. His extensive portfolio includes 102 Scopus-indexed publications, with 89 of these published since joining UAEU. He also founded the Infectious Diseases Research Epidemiology Advancement Unit (IDERA) to further enhance research in infectious disease epidemiology across the UAE and beyond.

IMPACT AND INFLUENCE 🌍

Dr. Rami’s research and leadership have not only had a substantial impact in the UAE but have also gained global recognition. With over 3,500 citations on Google Scholar and an i10-index of 45, his work continues to shape the discourse on epidemiology worldwide. Dr. Rami has played pivotal roles in national health initiatives, guiding policy decisions and providing evidence-based recommendations to healthcare authorities in the UAE. His involvement in the Mutaba’ah Study, the UAE’s largest longitudinal birth cohort study, is a testament to his commitment to public health.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Rami has consistently been one of the top Scopus-indexed publishers at UAEU’s College of Medicine and Health Sciences, ranking in the top five throughout various years. His research productivity has been exceptional, with his articles published in high-impact journals like Lancet and BMJ Open. His overall publication record demonstrates a consistent focus on producing high-quality, impactful research that contributes to global health advancements.

HONORS & AWARDS 🏅

  • Top 2% Highly Cited Scientist by Stanford University (2021–2024)
  • Excellence-Award-Winning Scholar from UAEU College of Medicine and Health Sciences (2020)
  • Google Scholar h-index: 25, i10-index: 49, with over 3,500 citations.
  • Ranked among the top Scopus-indexed publishers at UAEU from 2017-2024.

These accolades reflect the significant global impact of Dr. Rami’s contributions to epidemiology and public health.

LEGACY AND FUTURE CONTRIBUTIONS 🏆

Dr. Rami’s legacy will be defined by his continued research excellence, innovative contributions to epidemiological studies, and his role in shaping future leaders in public health. With ongoing projects focused on infectious diseases and public health policy, Dr. Rami is poised to leave a lasting mark on the field and inspire future generations to advance global health.

FINAL NOTE 🔍

Dr. Rami Al-Rifai’s career has been marked by an unwavering dedication to advancing the field of public health and epidemiology. His global recognition and commitment to training future public health leaders further solidify his status as a key figure in healthcare research. As a consultant, educator, and researcher, Dr. Rami continues to influence public health policies and initiatives not only in the UAE but across the world.

TOP NOTES PUBLICATIONS 📚

Gestational diabetes mellitus in Europe: a systematic review and meta-analysis of prevalence studies

Authors: MS Paulo, NM Abdo, R Bettencourt-Silva, RH Al-Rifai
Journal: Frontiers in Endocrinology 🧑‍⚕️🔬
Volume: 12
Issue: 691033
Pages: 146
Year: 2021 📅

The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

Authors: KB Tran, JJ Lang, K Compton, R Xu, AR Acheson, HJ Henrikson, …
Journal: The Lancet 🌍📚
Volume: 400
Issue: 10352
Pages: 563-591
Year: 2022 📅

Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease …

Authors: M Brauer, GA Roth, AY Aravkin, P Zheng, KH Abate, YH Abate, C Abbafati, …
Journal: The Lancet 🌍📚
Volume: 403
Issue: 10440
Pages: 2162-2203
Year: 2024 📅

Association between diabetes mellitus and active tuberculosis: A systematic review and meta-analysis

Authors: RH Al-Rifai, F Pearson, JA Critchley, LJ Abu-Raddad
Journal: PLoS One 🧑‍⚕️💡
Volume: 12
Issue: 11
Pages: e0187967
Year: 2017 📅

Prevalence, years lived with disability, and trends in anaemia burden by severity and cause, 1990–2021: findings from the Global Burden of Disease Study 2021

Authors: WM Gardner, C Razo, TA McHugh, H Hagins, VM Vilchis-Tella, …
Journal: The Lancet Haematology 🩸💉
Volume: 10
Issue: 9
Pages: e713-e734
Year: 2023 📅

Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019

Authors: HH Kyu, A Vongpradith, SB Sirota, A Novotney, CE Troeger, MC Doxey, …
Journal: The Lancet Infectious Diseases 🦠📚
Volume: 22
Issue: 11
Pages: 1626-1647
Year: 2022 📅

Naif Majrashi | Best Researcher Award | medical fields/Image and data analysis/Infectious diseases (TB)

 Naif Majrashi - Jazan University - medical fields/Image and data analysis/Infectious diseases (TB)🏆

Assist Prof Dr Naif Majrashi : medical fields/Image and data analysis/Infectious diseases (TB)

Professional profile:

Early Academic Pursuits:

Naif Ali Ahmed Majrashi's academic journey began with a Bachelor of Diagnostic Radiology from Jazan University, Saudi Arabia. Following this, he pursued a Master of Science in Medical Imaging from the University of Aberdeen, UK, where he graduated with commendation. He further enhanced his academic credentials by completing his Ph.D. in Medical Imaging from the same institution, the University of Aberdeen, in 2020. His early academic endeavors laid a solid foundation for his subsequent professional achievements in the field of medical imaging.

Professional Endeavors:

Naif Majrashi has made significant strides in his professional career. Currently serving as an Assistant Professor at Jazan University, Saudi Arabia, he has been instrumental in teaching, research, and administration within the Diagnostic Radiography Technology Department. Additionally, his experience extends to serving as a Laboratory Demonstrator at the University of Aberdeen, UK. Throughout his career, he has showcased expertise in areas such as brain imaging, medical image analysis, machine learning, and radiation protection. His commitment to academic excellence is evident through his involvement in curriculum design, research supervision, and publication in reputable journals.

Contributions and Research Focus:

NM's research focus encompasses several pivotal areas within medical imaging, including brain imaging, environmental effects on the brain, machine learning applications, systematic reviews, and radiation protection. His publications reflect his dedication to advancing the field, with topics ranging from the relationship between chest CT severity score and COVID-19 pneumonia to the impact of photoperiod on brain volume and depressive symptoms. His research contributions have been published in renowned journals, contributing to the broader understanding of medical imaging techniques and applications.

Accolades and Recognition:

Throughout his academic and professional journey, Naif Majrashi has garnered several accolades and certifications that underscore his expertise and commitment to the field. Notably, he holds a Certified Senior Health Specialist in Diagnostic Radiology from the Saudi Commission For Health Sciences, among other certifications. His accomplishments include achieving a Data Driven-Scientist designation from the Massachusetts Institute of Technology (MIT) and a Certified Trainer of Trainees from the Saudi Commission For Health Sciences.

Impact and Influence:

NM's impact extends beyond his research contributions and professional roles. His involvement in teaching, mentoring, and supervising students has shaped the next generation of professionals in medical imaging and related fields. By fostering collaborative research, attending academic conferences, and sharing his expertise, he has contributed to the academic community's growth and development.

Legacy and Future Contributions:

As Naif Ali Ahmed Majrashi continues to advance in his career, his legacy is marked by a dedication to excellence, innovation, and collaboration in the field of medical imaging. His future contributions are anticipated to further shape the landscape of diagnostic radiography, machine learning applications, and research methodologies. Through ongoing research, mentorship, and academic leadership, NM's legacy will continue to inspire advancements in medical imaging and related disciplines.

Notable Publication:

Citations:

A total of 28 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations      :28
  • h-index         :12
  • Documents  :3