Sunita Pokhrel Bhattarai | Cognitive | Best Researcher Award

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Dr. Sunita Pokhrel Bhattarai | Cognitive | Best Researcher Award

Dr. Sunita Pokhrel, Bhattarai Ohio State University, United States.

Dr. Sunita Pokhrel Bhattarai, Ph.D., RN, is a distinguished nursing scholar and practitioner with a remarkable academic and professional journey. Her career began with an exceptional academic foundation in nursing, supported by prestigious scholarships. She transitioned seamlessly from clinical excellence in Nepal to advanced research and education in the global arena. Her doctoral research at the University of Rochester, focused on innovative methods for diagnosing acute heart failure, underscores her contributions to cardiovascular nursing. Beyond clinical practice, Sunita has excelled in academia, research coordination, and manuscript review, emphasizing her influence in the global nursing and healthcare community. Her accolades, including diversity and travel grants, reflect her dedication to excellence and equity in healthcare.

Profile

Scholar

šŸ©ŗ Early Academic Pursuits: A Foundation of Excellence

Sunita Pokhrel Bhattarai, Ph.D., RN, began her academic journey with an unwavering commitment to healthcare and nursing education. From earning her Proficiency Certificate in Nursing on a full government scholarship in Nepal to completing her Bachelorā€™s in Nursing with a specialization in Community Health, Sunita demonstrated a dedication to academic excellence. Her early research on the knowledge and consequences of teenage marriage in Nepal set the stage for her future pursuits. This strong foundation was further reinforced through her Master’s studies in Emergency and Critical Care Nursing under the Erasmus Mundus Scholarship, where she explored advanced cardiac life support knowledge among critical care nurses.

šŸ’¼ Professional Endeavors: Leadership in Nursing Practice and Education

Sunitaā€™s professional trajectory reflects a remarkable blend of clinical expertise and academic leadership. She served as a Registered Nurse in Nepalā€™s premier institutions, including Shahid Gangalal National Heart Centre, where she specialized in cardiac care. Transitioning into academia, she became a Nursing Lecturer at Purbanchan University, imparting her knowledge to future nurses. These roles enriched her understanding of healthcare delivery and education, enabling her to contribute effectively to the global nursing community.

šŸ”¬ Contributions to Cardiovascular Research: Bridging Practice and Science

Driven by a passion for advancing cardiovascular care, Sunitaā€™s research focuses on acute heart failure and innovative diagnostic approaches. Her doctoral research at the University of Rochester aimed to estimate left ventricular ejection fraction using ECG, a novel contribution to acute heart failure management. Her involvement in multidisciplinary projects, such as investigating the optimal timing for coronary angiography, highlights her ability to bridge clinical practice and scientific inquiry. Her research not only addresses critical clinical questions but also emphasizes the importance of evidence-based solutions in nursing.

šŸ† Accolades and Recognition: Celebrating a Trailblazer

Sunitaā€™s outstanding contributions have been recognized with numerous awards and grants. Notable honors include the Presidential Stronger as One Diversity Award from the University of Rochester and the Ireta Neumann Scholarship for International Nurses. Her achievements underscore her dedication to fostering diversity and excellence in nursing. Travel grants from esteemed organizations like the American Heart Association and the International Society for Computerized Electrocardiology further reflect her active participation in the global research community.

šŸŒ Impact and Influence: Advancing Global Health Equity

Sunitaā€™s work extends beyond research and practice to address disparities in healthcare delivery. With a keen interest in self-care, implementation science, and healthcare discrepancies, she aims to enhance patient outcomes and equity in access to care. Her contributions as a research lead coordinator and manuscript reviewer illustrate her influence in shaping nursing science. Through mentorship and scholarly collaboration, she continues to inspire the next generation of healthcare professionals.

šŸ§  Legacy of Expertise: Pioneering Big Data and Applied Statistics

Sunitaā€™s proficiency in big data analysis and applied statistics distinguishes her as a thought leader in nursing research. By leveraging these tools, she has contributed to clinical trials and comprehensive literature reviews that inform evidence-based practice. Her role as an abstract reviewer and researcher underscores her commitment to advancing knowledge in cardiovascular nursing and beyond.

šŸŒŸ Future Contributions: A Vision for Transformative Healthcare

With her multifaceted expertise and global perspective, Sunita is poised to drive innovation in healthcare. Her dedication to improving acute heart failure diagnostics, addressing healthcare disparities, and mentoring emerging scholars positions her as a transformative figure in nursing science. Her journey is a testament to the power of perseverance, scholarship, and a passion for improving lives.

šŸ“š Publications

  • Delays in door-to-diuretic time and 1-year mortality among patients with heart failure
    Authors: DJ Dzikowicz, SP Bhattarai, J Ng, AL Zemanek, MG Carey
    Year: 2022

 

  • Signs and Symptoms Clusters Among Patients With Acute Heart Failure: A Correlational Study
    Authors: S Pokhrel Bhattarai, DJ Dzikowicz, MG Carey
    Year: 2023

 

  • Integrative review of electrocardiographic characteristics in patients with reduced, mildly reduced, and preserved heart failure
    Authors: SP Bhattarai, RC Block, Y Xue, DH Rodriguez, RG Tucker, MG Carey
    Year: 2024

 

  • Knowledge and practices on prevention of coronary artery diseases in Nepalese community: A cross-sectional from five different cities in Nepal
    Authors: SP Bhattarai, P Neupane
    Year: 2018

 

  • Estimating Ejection Fraction from the 12 Lead ECG among Patients with Acute Heart Failure
    Authors: SP Bhattarai, DJ Dzikowicz, Y Xue, R Block, RG Tucker, S Bhandari, …
    Year: 2024

 

  • Door-to-Diuretic Time is related to length of hospital stay independent of diuretic dose among acute decompensated heart failure patients
    Authors: DJ Dzikowicz, M Aktas, SP Bhattarai, L Chen, MG Carey
    Year: 2025

 

  • Estimating very low ejection fraction from the 12 Lead ECG among patients with acute heart failure
    Authors: SP Bhattarai, DJ Dzikowicz, Y Xue, R Block, RG Tucker, S Bhandari, …
    Year: 2025

 

  • Association Between Serum Albumin and the Length of Hospital Stay Among Patients With Acute Heart Failure
    Authors: S Pokhrel Bhattarai, DJ Dzikowicz, MG Carey
    Year: 2025

 

  • Estimating ejection fraction from the 12 lead ECG in acute heart failure
    Authors: SB Pokhrel, DJ Dzikowicz, S Bhandari, VE Boulware, MG Carey
    Year: 2024

 

  • Interaction Between Door To Diuretic Time And Dosing As A Predictor Of Mortality And Readmission
    Authors: D Dzikowicz, SP Bhattarai, L Chen, MG Carey
    Year: 2024

 

Conclusion

Dr. Sunita Pokhrel Bhattaraiā€™s journey illustrates the power of knowledge, resilience, and a commitment to improving healthcare. By integrating clinical expertise, innovative research, and global collaboration, she has advanced the field of cardiovascular nursing and inspired future generations. Her ongoing work promises to bridge gaps in healthcare delivery, enhance patient outcomes, and drive transformative change in nursing science. Sunita’s legacy is one of impact, innovation, and an enduring dedication to the betterment of global health.

Samira Jafari | Brain Mapping | Best Researcher Award

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Dr. Samira Jafari | Brain Mapping | Best Researcher Award

Dr Samira Jafari, Kerman university of medical sciences, Iran.

Dr. Samira Jafari, a distinguished Ph.D. in Biostatistics at Kerman University of Medical Sciences, is a leading researcher in biostatistics, machine learning methods, and meta-analysis. With 11 research projects and 11 journal publications in SCI and Scopus-indexed journals, she has made significant contributions to healthcare research, focusing on data-driven solutions. Her work in integrating machine learning with biostatistical models aims to enhance health data analysis, with the potential for improving disease prediction, public health policies, and medical practices.

Profile

Scholar

Early Academic Pursuits: The Foundation of Expertise šŸ“š

Dr. Jafariā€™s academic journey began with a strong foundation in biostatistics, where she honed her analytical skills and developed a passion for understanding the intricacies of data. During her studies, she was captivated by the potential of machine learning to transform data analysis in healthcare, laying the groundwork for her future endeavors. Her early academic pursuits focused on mastering statistical models and computational techniques, which would become the bedrock of her later research.

Professional Endeavors: Shaping Research Landscape šŸ§‘ā€šŸ”¬

Since completing her Ph.D., Dr. Jafari has become a key figure in advancing biostatistics research, particularly through her exploration of machine learning applications. At Kerman University of Medical Sciences, she has led numerous research projects, with a total of 11 completed and ongoing studies. Her expertise has contributed to groundbreaking work in applying biostatistics and machine learning methods to analyze large-scale healthcare data. Dr. Jafariā€™s research provides essential insights that enhance the understanding of disease patterns and contribute to better health outcomes.

Contributions and Research Focus: Bridging Knowledge and Practice šŸ§ 

Dr. Jafariā€™s research contributions are particularly notable in the integration of machine learning algorithms with biostatistics to improve health data interpretation. Her work includes innovative meta-analytic methods to synthesize complex data and uncover underlying patterns that inform healthcare practices. By combining machine learning with statistical models, she has been able to provide robust solutions for various medical and epidemiological studies. With 11 journal publications in top-tier journals like SCI and Scopus, her research has had a significant impact on advancing statistical methods in biostatistics.

Accolades and Recognition: Scholarly Achievements šŸ†

Dr. Jafari’s scholarly achievements have not gone unnoticed. Her work has earned recognition through a citation index of 2, reflecting her contributions to the academic community. Despite the limited citations, her research is highly regarded for its innovative approach to statistical modeling and its potential applications in the field of biostatistics. She has made a lasting impression through her academic rigor, innovative methods, and dedication to enhancing the quality of healthcare research.

Impact and Influence: Leading the Way in Quantitative Healthcare Research šŸŒ

Dr. Jafari’s work in biostatistics and machine learning has influenced both academic research and practical applications in healthcare. Her innovative approaches to analyzing and interpreting health data have the potential to change how public health research is conducted, improving the accuracy and efficacy of healthcare models. The widespread application of her research is likely to influence future healthcare policy and contribute to the development of more precise, data-driven medical treatments.

Legacy and Future Contributions: A Path to Continued Innovation šŸ”®

Dr. Jafari’s research journey is far from over. With numerous ongoing projects, she is poised to continue contributing to the field of biostatistics, machine learning, and meta-analysis. As a dedicated researcher, her future work promises to explore new frontiers in data analysis, helping to bridge the gap between complex statistical methods and practical healthcare applications. Dr. Jafariā€™s contributions will undoubtedly have a lasting impact on the way we analyze medical data, shaping the future of healthcare and biostatistics for years to come.

šŸ“š Publications

  • Title: The best drug supplement for obesity treatment: a systematic review and network meta-analysis
    Authors: N Salari, S Jafari, N Darvishi, E Valipour, M Mohammadi, K Mansouri, …
    Year: 2021

 

  • Title: Classifying patients with lumbar disc herniation and exploring the most effective risk factors for this disease
    Authors: S Jafari, T Dehesh, F Iranmanesh
    Year: 2019

 

  • Title: Diagnosis of borderline personality disorder based on Cyberball social exclusion task and resting-state fMRI: using machine learning approach as an auxiliary tool
    Authors: S Jafari, A Almasi, H Sharini, S Heydari, N Salari
    Year: 2023

 

  • Title: The best surgical treatment for cervical radiculopathy: a systematic review and network meta-analysis
    Authors: A Almasi, S Jafari, L Solouki, N Darvishi
    Year: 2023

 

  • Title: Radiomics-based machine learning for automated detection of Pneumothorax in CT scans
    Authors: H Alimiri Dehbaghi, K Khoshgard, H Sharini, S Jafari Khairabadi, …
    Year: 2024

 

  • Title: Diagnosis of traumatic liver injury on computed tomography using machine learning algorithms and radiomics features: The role of artificial intelligence for rapid diagnosis in ā€¦
    Authors: HA Dehbaghi, K Khoshgard, H Sharini, SJ Khairabadi
    Year: 2024

 

  • Title: A assessment of the effects of parental age on the development of autism in children: a systematic review and a meta-analysis
    Authors: T Dehesh, MA Mosleh-Shirazi, S Jafari, E Abolhadi, P Dehesh
    Year: 2024

 

Conclusion

Dr. Samira Jafari stands as a trailblazer in the field of biostatistics and machine learning, making invaluable contributions to healthcare research. Through her innovative integration of machine learning with biostatistical models, she has advanced our understanding of complex health data, paving the way for more accurate predictions and improved healthcare outcomes. With her extensive research experience and a clear commitment to bridging data analysis with real-world medical applications, Dr. Jafari is set to leave a lasting legacy in both academic and healthcare sectors.