Dr. Charles Gaillard | Health Professions | Best Researcher Award

Dr. Charles Gaillard | Health Professions | Best Researcher Award

Dr. Charles Gaillard, Centre Hospitalier Regional et Universitaire de Tours, France

Dr. Charles Gaillard is a dedicated urologist currently completing his medical training with a focus on transplantation and genitourinary oncology. He holds a series of advanced diplomas, including a Diplôme Inter-Universitaire in Oncologie Génito-Urinaire and a Thèse d’Exercice in Medicine, which he defended in 2022 on the topic of renal transplantation and drainage. Dr. Gaillard’s research, particularly his study on the necessity of drainage in renal transplantation, was published in FJUROL in August 2024 and awarded the Silver Medal with Honors from the jury. He has gained extensive clinical experience through internships at leading hospitals in Lyon and Tours, working under prominent professors in urology and vascular surgery.

Professional Profile:

Scopus

Suitability for the Award:

Dr. Gaillard’s research aligns well with the Best Researcher Award, especially given his focus on transplantation, surgical innovation, and urological treatment methodologies. His work contributes both to scientific understanding and practical advances in post-operative patient care, making a meaningful impact in his field.

Academic Background:

Dr. Charles Gaillard earned several prestigious diplomas in his field, including a Diplôme Inter-Universitaire in Genito-Urinary Oncology (2023), Thesis in Medicine on Renal Transplantation (2022), and Diplôme Universitaire in Urinary Lithiasis (2020). He has undergone specialized training in organ transplantation and urology across top institutions such as Sorbonne University and Paris-Lyon-Tours.

Clinical Experience:

Dr. Gaillard’s internship includes comprehensive work at Hôpital Edouard Herriot, Hôpital Bretonneau, and Clinique du Pôle Léonard de Vinci, where he honed his skills in urology, vascular surgery, and renal transplantation under expert supervision.

Research Focus & Achievements:

His doctoral thesis on renal transplantation—titled “Is Redon Drainage Essential in Renal Transplantation?”—was published in FJUROL (2024) and won the Silver Medal with Jury Honors. The study explored risk factors associated with the necessity of drainage in renal transplant surgeries.

Honors & Recognition:

Dr. Gaillard’s dedication to research and clinical excellence has earned him recognition in his field, including Medal of Silver with Jury Congratulations for his groundbreaking research on transplantation.

Publication Top Notes:

  • Cut-off time for surgery and prediction of orchiectomy in spermatic cord torsion: a retrospective multicentric study over 15 years
    • Journal: World Journal of Urology, 2023,
    • Citations: 2
  • Torsion of the spermatic cord in adults: a multicenter experience in adults with surgical exploration for acute scrotal pain with suspected testicular torsion
    • Journal: Asian Journal of Andrology, 2022,
    • Citations: 7
  • TORSAFUF – Surgical exploration for torsion of spermatic cord suspicion and risk factors for unnecessary surgery: Results of a French nationwide retrospective study on 2940 patients
    • Journal: Progres en Urologie, 2022
    • Citations: 2
  • Contralateral Orchiopexy at the Time of Urgent Scrotal Exploration-Is It Safe? A Propensity Score Matched Analysis from the TORSAFUF Cohort
    • Journal: Journal of Urology, 2021
    • Citations: 5

 

 

Hadi Shabanpour | Health Professions | Best Researcher Award

Mr . Hadi Shabanpour | Health Professions | Best Researcher Award 

PhD Student and Lecturer – The University of Queensland , SENV , Australia

Saeed Yousefi is a distinguished researcher from Tadbir Industry and Mining Development Group, Tehran, Iran. He specializes in innovative methods for healthcare systems, focusing on patient clustering and resource allocation using advanced data analysis techniques.

Profile

Scopus

Education

Saeed Yousefi holds extensive academic qualifications in the field of operations research and data analysis. His educational background underpins his expertise in applying sophisticated analytical methods to real-world problems in healthcare systems.

Experience

Saeed Yousefi has a significant track record in the industry, particularly in developing and implementing innovative patient clustering methods. His work aims to enhance the efficiency of healthcare systems by improving patient classification and resource allocation.

Research Interests

Saeed’s research interests revolve around healthcare analytics, specifically focusing on patient clustering methods and data-driven decision-making processes. His work often integrates advanced techniques such as Data Envelopment Analysis and Artificial Neural Networks to optimize healthcare delivery.

Award

Saeed Yousefi has been recognized for his innovative research with notable awards, reflecting his contributions to advancing healthcare analytics and improving patient care systems.

Publication

One of Saeed Yousefi’s significant publications is titled “An Innovative Patient Clustering Method Using Data Envelopment Analysis–Discriminant Analysis and Artificial Neural Networks: A Case Study in Healthcare Systems”. This article, co-authored with Reza Farzipoor Saen, Hadi Shabanpour, and Kian Ghods, was published in Socio-Economic Planning Sciences in 2024. It discusses a novel patient clustering approach using advanced data analysis techniques to enhance healthcare system efficiency. You can access the article here.

Conclusion

The research conducted by Saeed Yousefi, Reza Farzipoor Saen, Hadi Shabanpour, and Kian Ghods presents a pioneering and impactful approach to patient clustering and resource allocation in healthcare. The integration of DEA-DA with ANN models, particularly SOM, addresses a critical need for effective pandemic management and resource utilization. The practical implications and innovative nature of the research make it a strong candidate for the Best Researcher Award. However, further exploration into scalability, integration, long-term outcomes, and comparative analysis could enhance the robustness and applicability of the proposed method.