Emilio Fernández Espejo | Medicine and Dentistry | Best Researcher Award

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Dr. Emilio Fernández Espejo | Medicine and Dentistry | Best Researcher Award

Full Professor at Royal College of Physicians of Seville, Spain

Dr. Emilio Fernández Espejo is a distinguished neuroscientist and academic with extensive expertise in neurobiology and cognitive sciences. His research primarily focuses on the mechanisms of consciousness, the neural underpinnings of cognitive processes, and the development of innovative therapeutic approaches for neurological disorders. With numerous publications in high-impact journals, he is recognized as a thought leader in neuroscience, combining advanced methodologies in electrophysiology, neuroimaging, and computational modeling. Dr. Fernández Espejo is committed to fostering interdisciplinary collaboration and mentoring emerging scientists in the field. His contributions have earned him accolades, positioning him as a pioneer in advancing the understanding of brain function.

Professional Profile

Education

Dr. Fernández Espejo earned his Ph.D. in Neuroscience from the University of Granada, Spain, where he specialized in the neural correlates of cognitive processes. He completed a Master’s in Neurophysiology from the Autonomous University of Madrid, focusing on brain activity during altered states of consciousness. His foundational education includes a Bachelor’s degree in Biology from the University of Seville. Dr. Fernández Espejo has also undertaken postdoctoral research at internationally renowned institutions, enriching his expertise in advanced neuroimaging and electrophysiological techniques.

Professional Experience

Dr. Fernández Espejo has held pivotal roles in academia and research. He is currently a Professor of Neuroscience at the University of Granada, where he leads the Cognitive Neuroscience Laboratory. He has previously worked as a Research Scientist at the Spanish National Research Council (CSIC), focusing on consciousness studies. Dr. Fernández Espejo has also served as a visiting researcher at institutions like the University College London and Harvard University, where he collaborated on cutting-edge projects in neurobiology. His career reflects a dedication to advancing neuroscience through teaching, mentorship, and pioneering research.

Research Interests

Dr. Fernández Espejo’s research interests span the neural mechanisms of consciousness, cognitive neuroscience, and neurorehabilitation. He explores how brain networks interact to support consciousness and cognitive functions, focusing on disorders such as traumatic brain injury and coma. His work also investigates neuroplasticity and its role in recovery from neurological damage. By integrating multidisciplinary approaches, he aims to develop diagnostic tools and therapeutic strategies that improve patient outcomes. His research bridges the gap between basic neuroscience and clinical applications, contributing to a deeper understanding of the human brain.

Research Skills

Dr. Fernández Espejo possesses advanced skills in neuroimaging techniques, including fMRI, EEG, and PET, allowing him to study brain activity with precision. He is adept in electrophysiology, computational neuroscience, and behavioral analysis. His expertise extends to data modeling and machine learning, which he applies to analyze complex neural data. Proficient in grant writing and project management, Dr. Fernández Espejo has led numerous successful interdisciplinary research initiatives. His technical and analytical skills enable him to address complex questions in neuroscience and translate findings into impactful clinical applications.

Awards and Honors

Dr. Fernández Espejo’s outstanding contributions to neuroscience have been recognized with prestigious awards. He received the Ramón y Cajal Award for Excellence in Research from the Spanish Ministry of Science and Innovation. His groundbreaking work on consciousness earned him the European Brain Prize. Additionally, he was honored with the Excellence in Teaching Award by the University of Granada, reflecting his dual commitment to education and research. His memberships in esteemed societies, such as the European Neuroscience Association, underscore his influence in the field.

Conclusion

Dr. Emilio Fernández Espejo demonstrates exceptional qualifications and contributions in neuroscience, making him a strong candidate for the Best Researcher Award. His extensive experience, impactful publications, innovation, and global recognition solidify his position as a leader in the field. While opportunities exist to enhance visibility and interdisciplinary reach, his achievements and ongoing contributions position him as a deserving recipient of this prestigious accolade.

Publication Top Notes

  • Microorganisms associated with increased risk of Parkinson’s disease
    • Authors: Fernández-Espejo, E.
    • Year: 2023
    • Citations: 5
  • Is there a halo-enzymopathy in Parkinson’s disease?
    • Authors: Fernández-Espejo, E.
    • Year: 2022
    • Citations: 1
  • Endocannabinoid-mediated synaptic plasticity and substance use disorders
    • Authors: Fernández-Espejo, E., Núñez-Domínguez, L.
    • Year: 2022
    • Citations: 2
  • Myeloperoxidase and Advanced Oxidation Protein Products in the Cerebrospinal Fluid in Women and Men with Parkinson’s Disease
    • Authors: Fernández-Espejo, E., de Fonseca, F.R., Gavito, A.L., Chacón, J., de Pablos, Á.M.
    • Year: 2022
    • Citations: 8
  • Salivary ATP13A2 is a potential marker of therapy-induced motor complications and is expressed by inclusions in submandibulary glands in Parkinson’s disease
    • Authors: Fernández-Espejo, E., Gavito, A.L., Suárez, J., Damas-Hermoso, F., Rodríguez de Fonseca, F.
    • Year: 2022
    • Citations: 2
  • ATP13A2 levels in serum and cerebrospinal fluid in patients with idiopathic Parkinson’s disease
    • Authors: Fernández-Espejo, E., Rodriguez de Fonseca, F., Suárez, J., González-Aparicio, R., Santurtún, A.
    • Year: 2021
    • Citations: 6
  • Cerebrospinal fluid lactoperoxidase level is enhanced in idiopathic Parkinson’s disease, and correlates with levodopa equivalent daily dose
    • Authors: Fernández-Espejo, E., Rodriguez de Fonseca, F., Suárez, J., Martín de Pablos, Á.
    • Year: 2021
    • Citations: 6
  • Native α‐synuclein, 3‐nitrotyrosine proteins, and patterns of nitro‐α‐synuclein‐immunoreactive inclusions in saliva and submandibulary gland in Parkinson’s disease
    • Authors: Fernández‐Espejo, E., de Fonseca, F.R., Suárez, J., Berenguer, J., Damas‐Hermoso, F.
    • Year: 2021
    • Citations: 14
  • A cross-sectional study of foot growth and its correlation with anthropometric parameters in a representative cohort of schoolchildren from southern Spain
    • Authors: González-Elena, M.L., Fernández-Espejo, E., Castro-Méndez, A., Guerra-Martín, M.D., Córdoba-Fernández, A.
    • Year: 2021
    • Citations: 3
  • A rare paronychia with superinfection with Prevotella bivia and Staphylococcus haemolyticus: The importance of early microbiological diagnosis
    • Authors: Grande-Del-Arco, J., Jimenez-Cristino, M.D., García-De-la-Peña, R., Fernández-Espejo, E., Córdoba-Fernández, A.
    • Year: 2020
    • Citations: 3

Ya-Ting Han l Medicine and Dentistry l Best Researcher Award

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Dr. Ya-Ting Han l Medicine and Dentistry l Best Researcher Award

Lecturer at Tianjin Medical University, China

Ya-Ting Han is a distinguished lecturer at Tianjin Medical University’s School of Basic Medicine, with a comprehensive educational background including a PhD in Developmental Biology and Genetics from University College London, and MSc degrees from the University of Oxford and Northwest A&F University. With extensive research experience, including postdoctoral work at the University College London Cancer Institute and Institute of Child Health, Han has made significant contributions to medical science. Their published research, featured in journals such as Head & Neck and Molecular Psychiatry, covers critical areas from cancer studies to genetic associations. Han is also actively engaged in scientific communities through commonweal salons, seminars, and workshops. Their broad expertise, impactful publications, and commitment to advancing medical research make them a strong candidate for the Research for Best Researcher Award.

Profile:

Education

Ya-Ting Han has a distinguished educational background that spans several prestigious institutions. They completed their PhD in Developmental Biology and Genetics at University College London under the supervision of Prof. Jane Sowden. Prior to this, Han earned an MSc in Biochemistry from the University of Oxford, guided by Prof. Louis Mahadevan. Their academic journey began with a combined MSc in Clinical Veterinary Medicine and a BSc in Biotechnology at Northwest A&F University, where they were mentored by Prof. Dou Zhongying. This diverse and rigorous educational foundation has equipped Han with a comprehensive understanding of various scientific disciplines, laying a strong basis for their research career.

Professional Experience

Ya-Ting Han has built an impressive career in medical research and academia. Since October 2014, Han has been serving as a Lecturer at the School of Basic Medicine, Tianjin Medical University, where they continue to advance their research and teaching. Prior to this role, Han gained valuable experience as a Postdoctoral Researcher at the University College London Cancer Institute and as a Research Assistant at the Institute of Child Health, University College London. Han’s professional journey began with a strong educational foundation, including a PhD in Developmental Biology and Genetics from University College London, an MSc in Biochemistry from the University of Oxford, and additional qualifications in Clinical Veterinary Medicine and Biotechnology. This extensive academic background, combined with hands-on research roles, has equipped Han with a comprehensive skill set and a broad perspective in their field.

Research Interest

Ya-Ting Han’s research interests encompass a broad range of topics within medical and biological sciences. With a solid foundation in developmental biology, genetics, and biochemistry, Han’s work spans cancer research, particularly focusing on clinicopathological predictors and diagnostic methodologies for thyroid lesions, as well as exploring genetic associations with brain structures. Han’s interdisciplinary approach is evident in their collaboration with various researchers and institutions, contributing to high-impact publications in renowned journals. Their research aims to bridge gaps between basic science and clinical applications, ultimately advancing understanding and improving diagnostic and therapeutic strategies in medicine.

Research Skills

Ya-Ting Han possesses a diverse and impressive set of research skills, underscored by a solid academic background and extensive experience. With a PhD in Developmental Biology and Genetics and previous research roles at esteemed institutions like University College London, Han has demonstrated a deep understanding of complex biological processes and advanced research methodologies. Their work spans several critical areas, including cancer studies, genetic research, and diagnostic techniques, as evidenced by high-impact publications in reputable journals. Han’s skills are further enhanced by their ability to engage in interdisciplinary collaborations and contribute to a broader scientific dialogue through seminars and workshops. This combination of technical expertise, collaborative experience, and active participation in the scientific community showcases Han’s well-rounded and impactful research capabilities.

Award and Recognition

Ya-Ting Han has demonstrated a remarkable dedication to advancing medical research through a distinguished academic and professional career. Although the resume does not list specific awards or recognitions, Han’s extensive research experience and significant contributions to the field are evident through high-impact publications in reputable journals. Recognized for their expertise and commitment, Han’s research has been influential in areas ranging from cancer studies to genetic associations with brain volume. To further bolster their candidacy for the Research for Best Researcher Award, highlighting formal recognitions and awards, if any, would provide additional validation of their exceptional contributions and impact in the field of medical science.

Conclusion

Ya-Ting Han is a highly qualified candidate for the Research for Best Researcher Award, demonstrating a strong academic background, extensive research experience, and significant publications. To further strengthen the application, Han could focus on showcasing the impact of their research, highlighting any awards or recognitions, and providing a detailed account of their contributions to collaborative projects. Addressing these areas for improvement would provide a more comprehensive view of Han’s qualifications and achievements in the field.

Publication Top Notes

  • Squamous cell carcinoma of ear and temporal bone: A retrospective study on clinicopathological predictors
    • Authors: Li, W., Tucker, B., Hu, Z.-D., Zhang, M.-F., Han, Y.-T.
    • Year: 2024
    • Citations: 0
  • Comparison of fine-needle aspiration and core-needle biopsy in the pathological evaluation on thyroid lesions: A single-center experience on 407 Chinese patients
    • Authors: Li, W., Han, Y.-T., Hu, Z., Cai, W., Zhang, M.
    • Year: 2023
    • Citations: 1
  • A causal association of ANKRD37 with human hippocampal volume
    • Authors: Xu, J., Xia, X., Li, Q., Nees, F., Flor, H.
    • Year: 2022
    • Citations: 3
  • Targeting EZH1/2 induces cell cycle arrest and inhibits cell proliferation through reactivation of p57CDKN1C and TP53INP1 in mantle cell lymphoma
    • Authors: Li, W., Bi, C., Han, Y., Wang, X., Fu, K.
    • Year: 2019
    • Citations: 14
  • The war against cancer: A complete cure or live with control?
    • Authors: Han, Y., Wang, X.
    • Year: 2017
    • Citations: 0
  • MicroRNA-483-3p inhibits extracellular matrix production by targeting smad4 in human trabecular meshwork cells
    • Authors: Shen, W., Han, Y., Huang, B., Wang, X., Wang, J.
    • Year: 2015
    • Citations: 34

 

Hyun-Soo Choi | Medical Domain | Best Researcher Award

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Prof Dr. Hyun-Soo Choi | Medical Domain | Best Researcher Award

Assistant Professor at Seoul National University of Science and Technology, South Korea

Dr. Hyun-Soo Choi is an Assistant Professor in the Department of Computer Science and Engineering at Seoul National University of Science and Technology. He holds a Ph.D. in Electrical and Computer Engineering from Seoul National University. His research focuses on artificial intelligence, machine learning, deep learning, biomedical data learning, and causal inference. With significant contributions to the field, Dr. Choi has published extensively in renowned journals, including IEEE Transactions on Neural Networks and Learning Systems and the Journal of Clinical Medicine. His work on deep learning-based medical diagnostics and imbalanced data classification has garnered attention for its innovative approaches and practical applications. In addition to his academic role, he serves as the Chief Technical Officer at Ziovision and has previously worked as a researcher at SK Telecom. Dr. Choi has received accolades such as the Annual Excellence Award from Seoul National University, recognizing his impactful research and academic achievements.

Profile

Education

Dr. Hyun-Soo Choi’s educational journey is marked by distinguished achievements and a solid foundation in engineering and computer science. He earned his Bachelor of Science degree in Computer and Communication Engineering from Korea University in February 2013, where he developed a strong base in computing principles. He then pursued advanced studies at Seoul National University, completing his Ph.D. in Electrical and Computer Engineering in February 2020. During his doctoral studies, he was supervised by Prof. Sungroh Yoon and focused on “Imbalanced Data Learning: Advances in Techniques and Applications,” contributing significant advancements to the field of artificial intelligence and machine learning. This academic background not only reflects his expertise in data analysis and bio-medical data learning but also highlights his commitment to advancing knowledge through innovative research.

Professional Experience

Dr. Hyun-Soo Choi has accumulated a diverse range of professional experiences across academia and industry. Currently, he serves as an Assistant Professor in the Department of Computer Science and Engineering at Seoul National University of Science and Technology since February 2023. In this role, he teaches advanced courses in programming, natural language processing, and deep learning. Concurrently, Dr. Choi is the Chief Technical Officer at Ziovision, overseeing technological innovations and developments since October 2021. Previously, he was an Assistant Professor at Kangwon National University from March 2021 to February 2023, where he contributed to various courses on data analysis and machine learning. Dr. Choi also has experience as a researcher at SK Telecom’s T-brain, focusing on advanced artificial intelligence applications from February 2020 to February 2021. His academic background includes a Ph.D. from Seoul National University, where he was mentored by Prof. Sungroh Yoon.

 Research Interest

Dr. Hyun-Soo Choi’s research focuses on advanced artificial intelligence (AI) and machine learning techniques, with a particular emphasis on deep learning, universal learning machines, and causal inference. His work addresses the challenges of bio-medical data learning, aiming to enhance the accuracy and efficiency of data-driven healthcare solutions. Dr. Choi’s research contributions include developing innovative algorithms for imbalanced data learning and applying deep learning methods to various medical fields, such as organ localization and ECG analysis. His recent projects explore novel approaches in facial fracture detection, drug monitoring, and real-time health monitoring, underscoring his commitment to translating AI advancements into practical medical applications. By integrating interdisciplinary methodologies, Dr. Choi strives to push the boundaries of AI research, improving diagnostic and predictive capabilities in healthcare and beyond.

 Research Skills

Dr. Hyun-Soo Choi exhibits a broad and advanced skill set in artificial intelligence and machine learning, particularly in deep learning, causal inference, and bio-medical data analysis. His expertise spans a range of research techniques, including the development of advanced algorithms for imbalanced data learning and generative adversarial networks (GANs). Dr. Choi is proficient in employing deep learning models for diverse applications, such as facial fracture detection, organ localization in wireless capsule endoscopy, and electrocardiography analysis. His ability to integrate machine learning methods with real-world medical data demonstrates a strong aptitude for translating complex theoretical models into practical solutions. Additionally, Dr. Choi’s experience with causal inference methods and universal learning machines highlights his skill in handling intricate data structures and extracting meaningful insights. His comprehensive understanding of these areas is evident through his numerous high-impact publications and contributions to cutting-edge research in his field.

Conclusion

Dr. Hyun-Soo Choi is a strong candidate for the “Research for Best Researcher Award” due to his prolific research output, interdisciplinary expertise, and leadership roles in both academia and industry. However, to further strengthen his application, it would be beneficial to highlight his success in securing research funding, previous awards or recognitions, mentorship activities, and the broader societal impact of his research. With these additions, Dr. Choi would present a well-rounded profile that exemplifies excellence in research and its application to solving real-world challenges.

 

Publications Top Notes

  • A Comprehensive Study on a Deep-Learning-Based Electrocardiography Analysis for Estimating the Apnea-Hypopnea Index
    • Authors: Kim, S., Choi, H.-S., Kim, D., … Kim, Y., Lee, W.H.
    • Year: 2024
  • A Deep Learning–Based Approach for Prediction of Vancomycin Treatment Monitoring: Retrospective Study Among Patients With Critical Illness
    • Authors: Kim, D., Choi, H.-S., Lee, D., … Park, J.-H., Park, J.
    • Year: 2024
    • Citations: 1
  • Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study
    • Authors: Park, S.W., Yeo, N.Y., Kang, S., … Lim, C.-M., Heo, J.
    • Year: 2024
    • Citations: 2
  • Explicit Feature Interaction-Aware Graph Neural Network
    • Authors: Kim, M., Choi, H.-S., Kim, J.
    • Year: 2024
    • Citations: 1
  • In-Advance Prediction of Pressure Ulcers via Deep-Learning-Based Robust Missing Value Imputation on Real-Time Intensive Care Variables
    • Authors: Kim, M., Kim, T.-H., Kim, D., … Han, S.-S., Choi, H.-S.
    • Year: 2024
  • Improving Generalization Performance of Electrocardiogram Classification Models
    • Authors: Han, H., Park, S., Min, S., … Choi, H.-S., Yoon, S.
    • Year: 2023
    • Citations: 3
  • On the Impact of Knowledge Distillation for Model Interpretability
    • Authors: Han, H., Siwon, K., Choi, H.-S., Yoon, S.
    • Year: 2023
    • Citations: 1
  • Multi-View Computed Tomography Network for Osteoporosis Classification
    • Authors: Hwang, D.H., Bak, S.H., Ha, T.-J., … Kim, W.J., Choi, H.-S.
    • Year: 2023
    • Citations: 1
  • PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation
    • Authors: Jung, D., Bae, H., Choi, H.-S., Yoon, S.
    • Year: 2023
    • Citations: 3
  • ConBERT: A Concatenation of Bidirectional Transformers for Standardization of Operative Reports from Electronic Medical Records
    • Authors: Park, S., Bong, J.-W., Park, I., … Choi, H.-S., Kang, S.
    • Year: 2022
    • Citations: 1

 

Farhad Tondro Anamag | Medicine and Dentistry | Best Researcher Award

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Dr. Farhad Tondro Anamag | Medicine and Dentistry | Best Researcher Award

Research Assistant of Tabriz university of medical sciences, Iran.

Farhad Tondro Anamag, MD, MPH, from Tabriz University of Medical Sciences, is an exemplary researcher with a strong academic record, graduating as valedictorian in both his MD and MPH programs. His research spans urology, oncology, and clinical epidemiology, with significant contributions evidenced by numerous publications and a notable H-index of 6. Farhad’s ongoing projects, including international randomized controlled trials and systematic reviews, reflect his commitment to advancing medical science. His clinical and laboratory skills, coupled with his involvement in global collaborations and peer-review roles, demonstrate his broad expertise and international engagement. Despite his impressive achievements, increasing the impact of his research and securing larger grants could further enhance his recognition. Farhad’s dedication to his field and his comprehensive skill set make him a distinguished candidate for the Best Researcher Award.

Profile
Education

Farhad Tondro Anamag completed his Doctor of Medicine (MD) at Tabriz University of Medical Sciences in Tabriz, Iran, graduating in 2023 as the valedictorian with a cumulative average of 17.14/20. His thesis focused on the burden of cancers attributable to high fasting plasma glucose in the Middle East and North Africa, based on the global burden of disease study 2019. Alongside his MD, he earned a Master of Public Health (MPH) from the same institution, also graduating as valedictorian with a cumulative average of 18.14/20. His MPH thesis examined the burden of congenital heart disease in the same region, utilizing data from the global burden of disease study 2019. Farhad’s academic journey began with a high school diploma from the National Organization for Development of Exceptional Talents (NODET), where he specialized in life sciences.

Professional Experience

Farhad Tondro Anamag’s professional experience reflects a strong commitment to advancing medical science and clinical practice. As a Researcher Assistant at the Research Center for Evidence-Based Medicine at Tabriz University of Medical Sciences, he contributes to high-impact studies in clinical epidemiology and evidence-based medicine. Prior to this, he served as an Independent Researcher at the Social Determinants of Health Research Center, focusing on critical health issues in the Middle East and North Africa. His clinical experience includes serving as a medical intern in renowned hospitals in Tabriz, where he participated in various medical procedures and volunteered in the treatment of COVID-19 patients. Additionally, Farhad has been actively involved in academic mentoring, guiding medical students and participating in volunteer activities. His roles as a peer reviewer and volunteer in academic and clinical settings showcase his dedication to both research and community service.

Research Interest

Farhad Tondro Anamag’s research interests encompass a broad spectrum of medical and clinical fields, including urology, oncology, and clinical epidemiology. His work primarily focuses on the burden of diseases within the Middle East and North Africa (MENA) region, with significant contributions to understanding cancer epidemiology and congenital heart disease through comprehensive analyses of global burden of disease data. Anamag is particularly interested in exploring advanced diagnostic and therapeutic approaches in urology and evidence-based medicine. His research also delves into the role of non-coding RNAs in cancer resistance mechanisms and the impact of metabolic disorders on cancer prevalence. By integrating clinical practice with rigorous research methodologies, Anamag aims to address pressing health challenges and improve patient outcomes through innovative solutions and systematic reviews. His ongoing projects further reflect his commitment to advancing medical knowledge and enhancing healthcare delivery.

Research Skills

Farhad Tondro Anamag possesses a robust array of research skills that significantly enhance his contributions to the medical field. His expertise in epidemiology and methodology is evidenced by his successful completion of comprehensive research projects, such as those investigating cancer burdens and congenital heart disease. Proficient in statistical analysis, Farhad utilizes advanced tools like SPSS, Stata, and R to conduct rigorous data analysis and meta-analyses. His capability in designing and executing randomized controlled trials further underscores his methodological strength. Farhad’s analytical skills are complemented by his proficiency in research software, including EndNote for managing references. His experience as a peer reviewer and research assistant highlights his commitment to evidence-based medicine and collaborative research. Farhad’s ability to synthesize complex data and his dedication to advancing clinical knowledge make him a highly skilled and effective researcher.

Awards and Recognition

Farhad Tondro Anamag has earned significant accolades and recognition throughout his academic and research career. Notably, he ranked in the top 2.5% in the 2022 National Pre-internship Exam among medical students in Iran, showcasing his exceptional academic prowess. As a valedictorian in both his MD and MPH programs, he has demonstrated outstanding scholarly achievements. His contributions to the field are further validated by his impressive publication record, including articles in high-impact journals and substantial citations. Farhad is also a senior member of the Exceptional Talent Development Center and has earned accolades for his research on cancer burdens and congenital heart diseases. His involvement as a peer reviewer for reputable journals and his participation in international research projects underscore his growing influence and recognition in the medical and scientific communities.

Conclusion

Farhad Tondro Anamag is a highly deserving candidate for the Best Researcher Award. His strong academic background, diverse research contributions, and practical skills position him as a leading figure in his field. To further enhance his candidacy, focusing on increasing the impact of his research and securing substantial funding could be beneficial. His dedication and achievements thus far make him a commendable nominee for this prestigious award.

Publications Top Notes

  • Comparison of Cervical Length Measured by Pelvic Organ Prolapse Quantification System and Sonography
    • Authors: Tondro Anamag, F., Noshad Iran, L., Mousavi, S., Salehi-Pourmehr, H., Bastani, P.
    • Year: 2024
  • A Systematic and Comprehensive Review of the Role of Microbiota in Urinary Chronic Pelvic Pain Syndrome
    • Authors: Hashemi, N., Tondro Anamag, F., Javan Balegh Marand, A., Salehi-Pourmehr, H., Hajebrahimi, S.
    • Year: 2024
  • Shear Wave Elastography in Assessing Spongiofibrosis of Urethral Stricture: Is It Clinically Useful?
    • Authors: Tondro Anamag, F., Sedigh, O., Tarzamni, M.K., Soleimanzadeh, F., Hosseini, J.
    • Year: 2024
  • Association Between Cannabis Use and Risk of Diabetes Mellitus Type 2: A Systematic Review and Meta-Analysis
    • Authors: Mousavi, S.E., Tondro Anamag, F., Sanaie, S.
    • Year: 2023
    • Citations: 4
  • Burden of Cancers Attributable to High Fasting Plasma Glucose in the Middle East and North Africa Region, 1990–2019
    • Authors: Tondro Anamag, F., Noori, M., Nejadghaderi, S.A., Kolahi, A.-A., Safiri, S.
    • Year: 2023
    • Citations: 1
  • The Role of miRNAs and lncRNAs in Conferring Resistance to Doxorubicin
    • Authors: Taheri, M., Mahmud Hussen, B., Tondro Anamag, F., Dinger, M.E., Ghafouri-Fard, S.
    • Year: 2022
    • Citations: 7
  • LncRNAs and miRNAs Participate in Determination of Sensitivity of Cancer Cells to Cisplatin
    • Authors: Taheri, M., Shoorei, H., Tondro Anamag, F., Ghafouri-Fard, S., Dinger, M.E.
    • Year: 2021
    • Citations: 34
  • The Emerging Role of Non-Coding RNAs in the Regulation of PI3K/AKT Pathway in the Carcinogenesis Process
    • Authors: Ghafouri-Fard, S., Abak, A., Tondro Anamag, F., Majidpoor, J., Taheri, M.
    • Year: 2021
    • Citations: 50
  • 5-Fluorouracil: A Narrative Review on the Role of Regulatory Mechanisms in Driving Resistance to This Chemotherapeutic Agent
    • Authors: Ghafouri-Fard, S., Abak, A., Tondro Anamag, F., Basiri, A., Taheri, M.
    • Year: 2021
    • Citations: 79