Gabriela de Oliveira Laguna Silva | Health Sciences | Best Researcher Award

Posted on by Academic achievements

Mrs . Gabriela de Oliveira Laguna Silva | Health Sciences | Best Researcher Award 

Pesquisador , Hospital Moinhos de Vento , Brazil .

Gabriela de Oliveira Laguna Silva is a Brazilian biologist with a strong background in pediatric health and neuroscience. She completed her undergraduate studies at the Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), specializing in Biological Sciences. Currently pursuing a Master’s in Pediatrics and Child Health, she conducts research on neonatal hypoxia-ischemia and its effects on glucose metabolism and spatial memory. Gabriela works as a researcher at Hospital Moinhos de Vento, contributing to the PROADI-SUS program. Her expertise spans telemedicine, public health technologies, neonatal diseases, and healthcare assistance.

Profile

ORCiD

Education

Gabriela earned her bachelor’s degree in Biological Sciences from PUCRS, where she conducted a study on developing an experimental model for Posterior Reversible Encephalopathy Syndrome. Currently, she is pursuing a Master’s in Pediatrics and Child Health at PUCRS, focusing on the effects of neonatal hypoxia-ischemia on the brain. She has also specialized in Higher Education Teaching at UNIASSELVI and completed additional coursework in public health policies and clinical research ethics, including international experience in Good Clinical Practices at the University of Oxford.

Experience

Gabriela has held various research roles throughout her academic journey, starting as an undergraduate research assistant in neurobiology. She contributed to studies on neurological conditions, stem cell therapy, and experimental neuropathology at PUCRS and the Federal University of Rio Grande do Sul. Currently, she is a researcher at Hospital Moinhos de Vento, where she focuses on healthcare technologies and telemedicine. Gabriela’s work has also been instrumental in addressing disparities in access to specialized medical care, particularly in Brazil’s northeastern regions.

Awards and Honors

Throughout her academic career, Gabriela has received multiple fellowships, including one from the Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES). She was awarded research scholarships for her contributions to neurobiology and cellular signaling research. In recognition of her commitment to public health, she has participated in research projects supported by the Brazilian Unified Health System (SUS) and has been a valuable contributor to advancing telemedicine practices in Brazil, particularly through the PROADI-SUS program.

Research Focus

Gabriela’s research primarily centers on understanding the physiological mechanisms underlying neonatal hypoxia-ischemia and its long-term impacts on brain function. She employs advanced molecular imaging techniques to investigate glucose metabolism in the brain and how it relates to spatial memory deficits. Her work also delves into public health technologies, particularly telemedicine, to enhance healthcare delivery. Gabriela’s research has implications for improving neonatal care and reducing health disparities, especially in under-resourced regions of Brazil.

Publications

  • Investigating Neonatal Hypoxia-Ischemia: A Study on Glucose Metabolism
  • The Role of Telemedicine in Reducing Healthcare Disparities
  • Molecular Imaging in Pediatric Neurology
  • Bridging the Gap: Healthcare Technologies in Remote Regions
  • Ethical Considerations in Clinical Research: A Practical Guide

Conclusion

Gabriela de Oliveira Laguna Silva is a strong candidate for a Best Researcher Award. Her contributions to pediatric health and telemedicine are valuable in addressing healthcare challenges. Focusing on expanding her leadership roles and publishing impactful research would further bolster her chances of securing such prestigious recognition.

Hadi Shabanpour | Health Professions | Best Researcher Award

Posted on by Academic achievements

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.