Elham Nazari | Biology and Genetics | Best Researcher Award Posted on 13/09/2024 by ScienceFather Assist Prof Dr. Elham Nazari | Biology and Genetics | Best Researcher Award Shahid beheshti university of medical science, Iran Dr. Elham Nazari is a prominent researcher in bioinformatics and medical informatics, with a strong academic background including a Ph.D. and Postdoc from Mashhad University of Medical Sciences. Her research focuses on integrating machine learning, big data analysis, and multi-omics approaches to identify biomarkers and prognostic indicators in various cancers, including colorectal, gastric, and pancreatic. Dr. Nazari has published extensively in reputable journals such as Current Bioinformatics and Scientific Reports, showcasing her expertise in applying advanced computational methods to healthcare problems. Her work also includes contributions to understanding the impact of big data and digital innovation on healthcare systems. Dr. Nazari’s research has been supported by multiple grants, and she has been recognized for her scholarly achievements, including awards for her research and presentations. Her skills in using tools like SPSS, R, and Python underscore her proficiency in handling complex data analyses. Profile Google Scholar Profile Scopus Profile Education Elham Nazari’s educational background reflects a robust foundation in bioinformatics and medical informatics. She earned her Bachelor of Science in Computer Engineering from Azad University of Kermanshah in 2006. Building on this foundation, she pursued a Master of Science in Medical Informatics at Tarbiat Modares University of Tehran, completing her degree in 2015. Her academic journey continued with a PhD in Medical Informatics from Mashhad University of Medical Sciences, which she obtained in 2021. Her research interests and expertise were further expanded through a Postdoctoral Fellowship in Bioinformatics at Mashhad University of Medical Sciences, which she completed in 2023. This extensive educational experience underpins her significant contributions to the field of bioinformatics and her proficiency in integrating machine learning and big data analysis in medical research. Professional Experience Elham Nazari is an accomplished researcher with a solid foundation in medical informatics and bioinformatics. She completed her postdoctoral training in Bioinformatics at Mashhad University of Medical Sciences in 2023, following a PhD in Medical Informatics from the same institution in 2021. Prior to her doctoral studies, she earned a Master’s degree in Medical Informatics from Tarbiat Modares University in Tehran (2015) and a Bachelor’s in Computer Engineering from Azad University of Kermanshah (2006). Her professional experience includes extensive research in machine learning, big data analysis, and bioinformatics, with notable projects focusing on cancer biomarker identification and predictive modeling. Nazari’s work has been supported by multiple research grants and has resulted in numerous peer-reviewed publications and conference presentations. Additionally, she has taught technical courses in visual basic and software applications at various institutions. Her diverse expertise and research contributions highlight her significant impact in the field of medical informatics. Research Interest Elham Nazari’s research interests are centered on the integration of bioinformatics and machine learning to advance medical and healthcare outcomes. Her work predominantly focuses on utilizing machine learning algorithms for identifying biomarkers and understanding the molecular mechanisms underlying various cancers, including gastric, colorectal, and pancreatic cancers. She is deeply involved in data science and big data analysis, leveraging these tools to enhance RNA and DNA sequencing techniques. Additionally, Nazari’s research extends to multi-omics analysis, where she applies computational methods to integrate and analyze complex biological data. Her expertise encompasses bioinformatics, with a particular emphasis on developing predictive models and discovering novel diagnostic and prognostic markers. By combining her skills in bioinformatics with cutting-edge machine learning techniques, Nazari aims to improve early detection and treatment strategies for cancer and other diseases. Research Skills Elham Nazari possesses a robust set of research skills that significantly contribute to her field of bioinformatics and medical informatics. Her expertise in machine learning and data science is evident through her extensive work in developing predictive models and identifying biomarkers using advanced computational techniques. Nazari’s proficiency in big data analysis allows her to handle and interpret large datasets, which is crucial for her research in RNA and DNA sequencing. Her skill set includes using bioinformatics tools for multi-omics analysis, enhancing her ability to uncover complex patterns and relationships in biological data. She is adept with a range of software such as SPSS, R, Python, and Weka, facilitating her analysis and modeling tasks. Her research experience spans various applications, including cancer biomarker identification and health data analytics, showcasing her versatility and depth in the domain. Award and Recognition Elham Nazari has garnered significant recognition for her contributions to the field of medical informatics and bioinformatics. Notably, she was honored as a selective and excellent student and researcher at the Festival Professor Hesabi in 2019, highlighting her outstanding achievements and academic prowess. Additionally, she received the Best Poster Award at the Second National Conference of Medical Informatics in 2018, underscoring her excellence in presenting innovative research. Nazari’s work is widely acknowledged in the academic community, as reflected in her extensive publication record and active participation in cutting-edge research projects. Her innovative use of machine learning and big data analysis in healthcare continues to earn accolades, reflecting her dedication and impact in advancing the field. Her contributions are further supported by a strong online presence and recognition from peers, showcasing her prominent role in advancing medical informatics and bioinformatics. Conclusion Elham Nazari is a strong candidate for the Research for Best Researcher Award due to her extensive research output, innovative use of technology, and active engagement in impactful projects. Her expertise in bioinformatics and machine learning, coupled with her robust academic background, positions her as a leading figure in her field. Addressing areas for improvement, such as increasing public engagement and expanding research focus, could further enhance her already impressive profile. Publications Top Notes The Therapeutic Impact of Programmed Death–1 in the Treatment of Colorectal Cancer Authors: P.S. Sangani, S. Yazdani, G. Khalili-Tanha, E. Nazari, A. Avan Year: 2024 Journal: Pathology Research and Practice Emerging Potential Value of Long Non-Coding RNAs as Biomarkers and Therapeutic Targets in Pancreatic Cancer Authors: Z. Haghshenas, F. Shaban, G.A. Ferns, E. Nazari Year: 2024 Journal: Annals of Pancreatic Cancer The Prognostic, Diagnostic, and Therapeutic Impact of Long Noncoding RNAs in Gastric Cancer Authors: A. Ghorbani, F. Hosseinie, S. Khorshid Sokhangouy, E. Nazari, A. Avan Year: 2024 Journal: Cancer Genetics Colorectal Cancer Stem Cell Biomarkers: Biological Traits and Prognostic Insights Authors: A. Soleimani, N. Saeedi, A.M. Al-Asady, A. Avan, S.M.H. Mehr Year: 2024 Journal: Current Pharmaceutical Design Citations: 1 The Therapeutic Application of Hydrogen in Cancer: The Potential and Challenges Authors: M.N. Khiji, F. Arghidash, G.K. Tanha, E. Nazari, A. Avan Year: 2024 Journal: Current Pharmaceutical Design Citations: 1 Bioinformatics Analysis and Machine Learning Approach Applied to the Identification of Novel Key Genes Involved in Non-Alcoholic Fatty Liver Disease Authors: E. Nazari, G. Khalili-Tanha, A. Asadnia, M.A. Kiani, A. Avan Year: 2023 Journal: Scientific Reports Citations: 1 Down Regulation of Cathepsin W is Associated with Poor Prognosis in Pancreatic Cancer Authors: F. Khojasteh-Leylakoohi, R. Mohit, N. Khalili-Tanha, J. Batra, A. Avan Year: 2023 Journal: Scientific Reports Citations: 4 Breast Cancer Prediction Using Different Machine Learning Methods Applying Multi Factors Authors: E. Nazari, H. Naderi, M. Tabadkani, H. Tabesh, A. Avan Year: 2023 Journal: Journal of Cancer Research and Clinical Oncology Citations: 3 Identification of ZMYND19 as a Novel Biomarker of Colorectal Cancer: RNA-Sequencing and Machine Learning Analysis Authors: G. Khalili-Tanha, R. Mohit, A. Asadnia, E. Nazari, A. Avan Year: 2023 Journal: Journal of Cell Communication and Signaling Citations: 2 Prognostic Value of Primary Tumor Location in Colorectal Cancer: An Updated Meta-Analysis Authors: H. Gholamalizadeh, N. Zafari, M. Velayati, E. Nazari, A. Avan Year: 2023 Journal: Clinical and Experimental Medicine Citations: 2
Dr. Elham Nazari is a prominent researcher in bioinformatics and medical informatics, with a strong academic background including a Ph.D. and Postdoc from Mashhad University of Medical Sciences. Her research focuses on integrating machine learning, big data analysis, and multi-omics approaches to identify biomarkers and prognostic indicators in various cancers, including colorectal, gastric, and pancreatic. Dr. Nazari has published extensively in reputable journals such as Current Bioinformatics and Scientific Reports, showcasing her expertise in applying advanced computational methods to healthcare problems. Her work also includes contributions to understanding the impact of big data and digital innovation on healthcare systems. Dr. Nazari’s research has been supported by multiple grants, and she has been recognized for her scholarly achievements, including awards for her research and presentations. Her skills in using tools like SPSS, R, and Python underscore her proficiency in handling complex data analyses. Profile Google Scholar Profile Scopus Profile Education Elham Nazari’s educational background reflects a robust foundation in bioinformatics and medical informatics. She earned her Bachelor of Science in Computer Engineering from Azad University of Kermanshah in 2006. Building on this foundation, she pursued a Master of Science in Medical Informatics at Tarbiat Modares University of Tehran, completing her degree in 2015. Her academic journey continued with a PhD in Medical Informatics from Mashhad University of Medical Sciences, which she obtained in 2021. Her research interests and expertise were further expanded through a Postdoctoral Fellowship in Bioinformatics at Mashhad University of Medical Sciences, which she completed in 2023. This extensive educational experience underpins her significant contributions to the field of bioinformatics and her proficiency in integrating machine learning and big data analysis in medical research. Professional Experience Elham Nazari is an accomplished researcher with a solid foundation in medical informatics and bioinformatics. She completed her postdoctoral training in Bioinformatics at Mashhad University of Medical Sciences in 2023, following a PhD in Medical Informatics from the same institution in 2021. Prior to her doctoral studies, she earned a Master’s degree in Medical Informatics from Tarbiat Modares University in Tehran (2015) and a Bachelor’s in Computer Engineering from Azad University of Kermanshah (2006). Her professional experience includes extensive research in machine learning, big data analysis, and bioinformatics, with notable projects focusing on cancer biomarker identification and predictive modeling. Nazari’s work has been supported by multiple research grants and has resulted in numerous peer-reviewed publications and conference presentations. Additionally, she has taught technical courses in visual basic and software applications at various institutions. Her diverse expertise and research contributions highlight her significant impact in the field of medical informatics. Research Interest Elham Nazari’s research interests are centered on the integration of bioinformatics and machine learning to advance medical and healthcare outcomes. Her work predominantly focuses on utilizing machine learning algorithms for identifying biomarkers and understanding the molecular mechanisms underlying various cancers, including gastric, colorectal, and pancreatic cancers. She is deeply involved in data science and big data analysis, leveraging these tools to enhance RNA and DNA sequencing techniques. Additionally, Nazari’s research extends to multi-omics analysis, where she applies computational methods to integrate and analyze complex biological data. Her expertise encompasses bioinformatics, with a particular emphasis on developing predictive models and discovering novel diagnostic and prognostic markers. By combining her skills in bioinformatics with cutting-edge machine learning techniques, Nazari aims to improve early detection and treatment strategies for cancer and other diseases. Research Skills Elham Nazari possesses a robust set of research skills that significantly contribute to her field of bioinformatics and medical informatics. Her expertise in machine learning and data science is evident through her extensive work in developing predictive models and identifying biomarkers using advanced computational techniques. Nazari’s proficiency in big data analysis allows her to handle and interpret large datasets, which is crucial for her research in RNA and DNA sequencing. Her skill set includes using bioinformatics tools for multi-omics analysis, enhancing her ability to uncover complex patterns and relationships in biological data. She is adept with a range of software such as SPSS, R, Python, and Weka, facilitating her analysis and modeling tasks. Her research experience spans various applications, including cancer biomarker identification and health data analytics, showcasing her versatility and depth in the domain. Award and Recognition Elham Nazari has garnered significant recognition for her contributions to the field of medical informatics and bioinformatics. Notably, she was honored as a selective and excellent student and researcher at the Festival Professor Hesabi in 2019, highlighting her outstanding achievements and academic prowess. Additionally, she received the Best Poster Award at the Second National Conference of Medical Informatics in 2018, underscoring her excellence in presenting innovative research. Nazari’s work is widely acknowledged in the academic community, as reflected in her extensive publication record and active participation in cutting-edge research projects. Her innovative use of machine learning and big data analysis in healthcare continues to earn accolades, reflecting her dedication and impact in advancing the field. Her contributions are further supported by a strong online presence and recognition from peers, showcasing her prominent role in advancing medical informatics and bioinformatics. Conclusion Elham Nazari is a strong candidate for the Research for Best Researcher Award due to her extensive research output, innovative use of technology, and active engagement in impactful projects. Her expertise in bioinformatics and machine learning, coupled with her robust academic background, positions her as a leading figure in her field. Addressing areas for improvement, such as increasing public engagement and expanding research focus, could further enhance her already impressive profile. Publications Top Notes The Therapeutic Impact of Programmed Death–1 in the Treatment of Colorectal Cancer Authors: P.S. Sangani, S. Yazdani, G. Khalili-Tanha, E. Nazari, A. Avan Year: 2024 Journal: Pathology Research and Practice Emerging Potential Value of Long Non-Coding RNAs as Biomarkers and Therapeutic Targets in Pancreatic Cancer Authors: Z. Haghshenas, F. Shaban, G.A. Ferns, E. Nazari Year: 2024 Journal: Annals of Pancreatic Cancer The Prognostic, Diagnostic, and Therapeutic Impact of Long Noncoding RNAs in Gastric Cancer Authors: A. Ghorbani, F. Hosseinie, S. Khorshid Sokhangouy, E. Nazari, A. Avan Year: 2024 Journal: Cancer Genetics Colorectal Cancer Stem Cell Biomarkers: Biological Traits and Prognostic Insights Authors: A. Soleimani, N. Saeedi, A.M. Al-Asady, A. Avan, S.M.H. Mehr Year: 2024 Journal: Current Pharmaceutical Design Citations: 1 The Therapeutic Application of Hydrogen in Cancer: The Potential and Challenges Authors: M.N. Khiji, F. Arghidash, G.K. Tanha, E. Nazari, A. Avan Year: 2024 Journal: Current Pharmaceutical Design Citations: 1 Bioinformatics Analysis and Machine Learning Approach Applied to the Identification of Novel Key Genes Involved in Non-Alcoholic Fatty Liver Disease Authors: E. Nazari, G. Khalili-Tanha, A. Asadnia, M.A. Kiani, A. Avan Year: 2023 Journal: Scientific Reports Citations: 1 Down Regulation of Cathepsin W is Associated with Poor Prognosis in Pancreatic Cancer Authors: F. Khojasteh-Leylakoohi, R. Mohit, N. Khalili-Tanha, J. Batra, A. Avan Year: 2023 Journal: Scientific Reports Citations: 4 Breast Cancer Prediction Using Different Machine Learning Methods Applying Multi Factors Authors: E. Nazari, H. Naderi, M. Tabadkani, H. Tabesh, A. Avan Year: 2023 Journal: Journal of Cancer Research and Clinical Oncology Citations: 3 Identification of ZMYND19 as a Novel Biomarker of Colorectal Cancer: RNA-Sequencing and Machine Learning Analysis Authors: G. Khalili-Tanha, R. Mohit, A. Asadnia, E. Nazari, A. Avan Year: 2023 Journal: Journal of Cell Communication and Signaling Citations: 2 Prognostic Value of Primary Tumor Location in Colorectal Cancer: An Updated Meta-Analysis Authors: H. Gholamalizadeh, N. Zafari, M. Velayati, E. Nazari, A. Avan Year: 2023 Journal: Clinical and Experimental Medicine Citations: 2