Dr Nadav Rappoport | Medical Informatics | Best Researcher Award |

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Dr. Nadav Rappoport | Medical Informatics | Best Researcher Award

Ben-Gurion University of the Negev, Israel

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR

 👨‍🎓 Bio Summary:

Dr. Nadav Rappoport is an Assistant Professor at Ben-Gurion University in the Department of Software and Information Systems. He is the head of the Big Biomedical Data Lab, where he leads research at the intersection of artificial intelligence (AI), machine learning, and healthcare. His work focuses on analyzing large-scale biomedical datasets to enhance healthcare systems and improve patient outcomes. With an impressive academic background and numerous high-impact publications, Dr. Rappoport is a recognized leader in the field of computational biology and medical informatics.

🎓 Educational Background:

Dr. Rappoport received his B.Sc. in Computational Biology from the Hebrew University of Jerusalem in 2009. He continued his studies at the same institution, earning a Ph.D. in Computer Science in 2015. Following his Ph.D., he pursued postdoctoral research in Medical Informatics at the University of California, San Francisco (UCSF) from 2015 to 2019, where he further specialized in AI applications for healthcare.

🔍 Research Focus:

Dr. Rappoport’s research centers on developing AI and machine learning algorithms for healthcare applications. His work has focused on improving diagnostic tools and personalized medicine by leveraging large biomedical datasets. Key achievements include developing models to predict protein functions, analyzing millions of health records to define population-specific reference ranges for lab tests, and identifying genetic markers associated with preterm birth. His interdisciplinary approach bridges computational techniques with real-world clinical challenges, advancing precision medicine and healthcare efficiency.

🏆 Honors & Awards:

Dr. Rappoport has received several grants and recognitions for his pioneering research. Notably, he secured significant funding from prestigious organizations such as the European Health Data & Evidence Network (EHDEN) and the Israeli Science Foundation. His research on kidney stone formation, funded with a $700,000 grant, exemplifies his expertise in tackling complex medical problems. He also received multiple awards for his innovative AI models applied to healthcare, further establishing his reputation in the academic community.

💼 Professional Experience:

Since 2019, Dr. Rappoport has been serving as an Assistant Professor at Ben-Gurion University, where he leads research in AI and big data applications in healthcare. Prior to this, he conducted postdoctoral research at UCSF’s Bakar Institute for Computational Health Sciences. His professional journey has been marked by a commitment to interdisciplinary collaboration, demonstrated by leading large-scale projects involving over 30 researchers from various fields.

📚 Top Noted Publications :

ProteinBERT: A Universal Deep-Learning Model of Protein Sequence and Function
Authors: N. Brandes, D. Ofer, Y. Peleg, N. Rappoport, M. Linial
Journal: Bioinformatics
Citations: 478
Year: 2022

An Expanded Evaluation of Protein Function Prediction Methods Shows an Improvement in Accuracy
Authors: Y. Jiang, T.R. Oron, W.T. Clark, A.R. Bankapur, D. D’Andrea, R. Lepore, …
Journal: Genome Biology
Citations: 425
Year: 2016

Single-Cell RNA-seq Reveals Cell Type–Specific Molecular and Genetic Associations to Lupus
Authors: R.K. Perez, M.G. Gordon, M. Subramaniam, M.C. Kim, G.C. Hartoularos, S. Targ, …
Journal: Science
Citations: 244
Year: 2022

Significantly Improved COVID-19 Outcomes in Countries with Higher BCG Vaccination Coverage: A Multivariable Analysis
Authors: D. Klinger, I. Blass, N. Rappoport, M. Linial
Journal: Vaccines
Citations: 99
Year: 2020

ProtoNet 6.0: Organizing 10 Million Protein Sequences in a Compact Hierarchical Family Tree
Authors: N. Rappoport, S. Karsenty, A. Stern, N. Linial, M. Linial
Journal: Nucleic Acids Research
Citations: 55
Year: 2012

Conclusion:

Dr. Nadav Rappoport is a highly suitable candidate for a Best Researcher Award due to his innovative use of AI and big data in healthcare, his leadership in collaborative projects, and his strong funding and publication track record. His work is cutting-edge and addresses significant issues in healthcare, including personalized medicine and disease prevention. Enhancing his international collaborations and public engagement would further strengthen his candidacy for such an award.

Prof Leila Shahmoradi | Health Information Management | Best Researcher Award |

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Prof. Leila Shahmoradi | Health Information Management | Best Researcher Award.

Tehran University of Medical Sciences , Iran

Professional Profiles:

SCOPUS

ORCID

GOOGLE SCHOLAR 

 👨‍🎓 Bio Summary:

Professor Leila Shahmoradi is a renowned academic and researcher in Health Information Management and Medical Informatics. She is currently serving at the Tehran University of Medical Sciences, where she has made significant contributions to the field of medical education and health informatics. Her innovative work, which integrates technology into healthcare systems, has earned her national recognition. Throughout her career, Professor Shahmoradi has been actively involved in various research projects, leadership roles, and academic initiatives that enhance the intersection of technology and healthcare.

🎓 Educational Background:

Professor Shahmoradi holds a Ph.D. in Health Information Management (2012) from Tehran University of Medical Sciences, Iran. She also earned an M.Sc. in Education of Medical Records from Iran University of Medical Sciences (2004) and a B.Sc. in Medical Records from Tehran University of Medical Sciences (1999). Her educational background provides a strong foundation for her expertise in healthcare information management and medical informatics.

🔍 Research Focus:

Professor Shahmoradi’s research primarily revolves around health information systems, mobile health (mHealth) solutions, decision support systems, and the integration of new technologies like augmented reality into healthcare education. Her work aims to improve healthcare outcomes through the effective use of digital tools and informatics. She has designed and developed numerous mobile-based decision support systems that assist in areas like lung transplant patient management and kidney survival prediction.

🏆 Honors & Awards:

Throughout her career, Professor Shahmoradi has received several prestigious awards. She was recognized as the Top Researcher at Iran University of Medical Sciences in 2009. She has also been an award recipient at several national conferences, including the Shahid Motahari Educational Festival, for her innovative educational processes such as the use of augmented reality in physiotherapy education and the development of mobile health applications.

💼 Professional Experience:

Professor Shahmoradi has held key academic and administrative roles, including Deputy Dean of Research Affairs (2021-2023) and Head of the Medical Library and Information Sciences Department (2019-2021) at Tehran University of Medical Sciences. She has been an active member of various educational and interview committees under the Ministry of Health and Medical Education, contributing to curriculum planning and examination processes. Her leadership extends to the Iranian Association of Information Technology and Management, where she served on the Board of Directors.

📚 Top Noted Publications :

The Application of Internet of Things in Healthcare: A Systematic Literature Review and Classification

Authors: H. Ahmadi, G. Arji, L. Shahmoradi, R. Safdari, M. Nilashi, M. Alizadeh

Journal: Universal Access in the Information Society

Citations: 333

Index: Scopus

Year of Publication: 2019

 

A Knowledge-Based System for Breast Cancer Classification Using Fuzzy Logic Method

Authors: M. Nilashi, O. Ibrahim, H. Ahmadi, L. Shahmoradi

Journal: Telematics and Informatics

Citations: 298

Index: Scopus

Year of Publication: 2017

 

An Analytical Method for Diseases Prediction Using Machine Learning Techniques

Authors: M. Nilashi, O. Bin Ibrahim, H. Ahmadi, L. Shahmoradi

Journal: Computers & Chemical Engineering

Citations: 234

Index: Scopus

Year of Publication: 2017

 

Hospital Information System Adoption: Expert Perspectives on an Adoption Framework for Malaysian Public Hospitals

Authors: H. Ahmadi, M. Nilashi, L. Shahmoradi, O. Ibrahim

Journal: Computers in Human Behavior

Citations: 214

Index: Scopus

Year of Publication: 2017

 

Diseases Diagnosis Using Fuzzy Logic Methods: A Systematic and Meta-Analysis Review

Authors: H. Ahmadi, M. Gholamzadeh, L. Shahmoradi, M. Nilashi, P. Rashvand

Journal: Computer Methods and Programs in Biomedicine

Citations: 205

Index: Scopus

Year of Publication: 2018

Conclusion:

Professor Leila Shahmoradi is an exceptional candidate for the Best Researcher Award. Her innovative contributions to health informatics, leadership roles, and strong research background make her well-suited for this recognition. By further expanding her international collaborations and diversifying her research, she could solidify her position as a leading global researcher in medical informatics.