Rumi Ueha | Medicine and Dentistry | Best Researcher Award

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Prof. Rumi Ueha | Medicine and Dentistry | Best Researcher Award

Director at Swallowing Center/The University of Tokyo Hospital, Japan

Dr. Rumi Ueha is a distinguished specialist in otolaryngology, focusing on airway surgery, swallowing disorders, and olfactory disorders. Holding both an M.D. and Ph.D., Dr. Ueha has accumulated significant expertise through her academic and clinical career. She has contributed extensively to the medical field, particularly in research concerning dysphagia, pediatric airway, chronic airway inflammation, and the regeneration of olfactory receptor cells. Dr. Ueha’s leadership is evident through her current position as Director and Associate Professor at the University of Tokyo, where she combines research, clinical practice, and mentorship. She is internationally recognized for her research in swallowing surgery and airway management, frequently collaborating with institutions across Japan and globally.

Professional Profile

Education:

Dr. Ueha earned her M.D. from the University of Tokyo in 2003, followed by her Ph.D. in 2017, also from the University of Tokyo. Her educational journey includes extensive training in otolaryngology and head and neck surgery, with specialized fellowships in broncho-esophagology. She has studied at renowned institutions, such as the University of California, Davis, and the University of Michigan, further solidifying her academic foundation. This rigorous education laid the groundwork for her research into complex disorders involving the airway, swallowing, and olfaction.

Professional Experience:

Dr. Ueha’s professional journey spans various prestigious roles, beginning as a resident and fellow in otolaryngology at the University of Tokyo and NTT Medical Center. Over the years, she advanced through key positions such as Assistant Professor and Project Lecturer, before being appointed as Director and Associate Professor. Her clinical and research work at the Swallowing Center of the University of Tokyo Hospital has contributed to groundbreaking advancements in dysphagia and swallowing surgery. She has also held visiting researcher roles, expanding her global network and research opportunities.

Research Interests:

Dr. Ueha’s research primarily focuses on the medical and surgical management of swallowing disorders (dysphagia), airway surgery, and olfactory disorders. She is particularly interested in swallowing surgery, chronic airway inflammation, and esophageal dysmotility. Dr. Ueha has explored innovative approaches in airway virtual reality, voice surgery, and pediatric airway management. Additionally, her work in olfactory receptor cell regeneration and the effects of aging on the olfactory system highlights her commitment to advancing treatment options for patients with sensory impairments. Her research also investigates the impact of SARS-CoV-2 on these systems.

Research Skills:

Dr. Ueha’s research skills are broad and multidisciplinary, combining clinical expertise with innovative technologies. She has demonstrated advanced knowledge in airway surgery, swallowing rehabilitation, and neurophysiology. Her skills also extend to virtual reality applications for airway management, showing her adaptability to emerging technologies. Dr. Ueha excels in clinical trials, with a focus on neuromuscular diseases and their impact on swallowing. Her ability to conduct translational research that bridges laboratory findings with clinical applications has led to advancements in treating complex airway and swallowing conditions.

Awards and Honors:

Dr. Ueha has received numerous prestigious awards in recognition of her contributions to otolaryngology and research. These include the Woman Award 2024 by the Oto-Rhino-Laryngological Society of Japan and the Excellence Award at the 16th Scientific Meeting of the Japanese Society of Anti-Aging Medicine. She has also been honored with several first-place prizes, including those for her management improvement projects at the University of Tokyo Hospital. Her recognition in the academic community extends to multiple journal editorial board positions, including for Auris Nasus Larynx and the Japanese Journal of Rhinology, where she influences advancements in her field.

Conclusion:

Dr. Rumi Ueha is a highly accomplished researcher and academic leader in the field of otolaryngology, particularly in swallowing disorders and airway surgery. Her strong academic background, multiple accolades, and extensive international experience make her an outstanding candidate for the Best Researcher Award. While further efforts in research funding and interdisciplinary collaborations would elevate her work, her substantial contributions to her field position her as a leader in otolaryngology and swallowing research.

Publication Top Notes

  • English as a Foreign Language Instructors’ Questioning Behaviors and Strategy Uses for Reflective Learning Facilitation
    • Authors: Not specified
    • Year: Not specified
  • A Narrative Review of Basic and Clinical Studies for Vocal Fold Regeneration Therapies
    • Authors: Cathrine Miura, Rumi Ueha, Maria Angela Dealino, Naoyuki Matsumoto, Taku Sato, Takao Goto, Kenji Kondo
    • Year: 2024
    • DOI: 10.1016/j.anl.2024.10.011
  • A Retrospective Study of Cricotracheostomy: Indications, Techniques, and Clinical Outcomes
    • Authors: Kana Nanjo, Rumi Ueha, Maria A. Dealino, Naoyuki Matsumoto, Taku Sato, Takao Goto, Kenji Kondo
    • Year: 2024
    • DOI: 10.1002/ohn.1053
  • Swallowing Virtual Reality as a Novel Diagnostic Tool for Severe Dysphagia After Deep Neck Infection: A Case Report
    • Authors: Takahiro Katsuno, Rumi Ueha, Kana Nanjyo, Kazuaki Matsuda, Cathrine Miura, Taku Sato, Takao Goto, Kenji Kondo
    • Year: 2024
    • DOI: 10.21203/rs.3.rs-4725568/v1
  • Esophageal Dysmotility in Multiple System Atrophy: A Retrospective Cross-Sectional Study
    • Authors: Rumi Ueha, Misaki Koyama, Akiko Seto, Taku Sato, Takao Goto, Kenta Orimo, Jun Mitsui, Tatsuya Yamasoba
    • Year: 2024
    • DOI: 10.3390/jcm13175026
  • Severe Dysphagia in a Patient with Wallenberg Syndrome and Killian Jamieson Diverticulum: A Case Report
    • Authors: Carmel Cotaoco, Takao Goto, Misaki Koyama, Taku Sato, Kenji Kondo, Rumi Ueha
    • Year: 2024
    • DOI: 10.1007/s42399-024-01713-2
  • Swallowing Improvement Surgeries
    • Authors: Carmel Cotaoco, Rumi Ueha, Misaki Koyama, Taku Sato, Takao Goto, Kenji Kondo
    • Year: 2024
    • DOI: 10.1007/s00405-024-08452-z
  • Severe Dysphagia in a Patient with Wallenberg Syndrome and Killian Jamieson Diverticulum: A Case Report (Preprint)
  • Use of CT for Dysphagia Evaluation: Advantages and Disadvantages in the Study of Swallowing
  • Three-Dimensional Computed Tomography Features of Recurrent Laryngeal Nerve Paralysis Due to Aortic Aneurysm
    • Authors: Jumpei Sasakawa, Takao Goto, Taku Sato, Misaki Koyama, Rumi Ueha, Tatsuya Yamasoba
    • Year: 2024
    • DOI: 10.1007/s42399-024-01685-3

 

 

Suvi M Virtanen | Medicine and Dentistry | Best Researcher Award

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Prof Dr. Suvi M Virtanen | Medicine and Dentistry | Best Researcher Award

Research Professor, Finnish Institute for Health and Welfare , Finland

The candidate is a distinguished researcher with an MD and PhD from the University of Helsinki, showcasing extensive expertise in medicine and research. Currently serving as a Research Professor at the Finnish Institute for Health and Welfare and a Professor of Epidemiology at Tampere University, the candidate has demonstrated outstanding leadership in public health and nutrition research. Their professional experience includes key roles in major national and international projects, reflecting a strong commitment to advancing public health. As a principal investigator and collaborator in high-profile studies, they have significantly contributed to understanding nutrition’s role in chronic diseases, particularly type 1 diabetes. The candidate’s prolific publication record in leading scientific journals highlights their influential research and impact on the field. With a career marked by academic excellence, significant leadership, and groundbreaking research, the candidate stands out as a leading expert and is highly suitable for the Best Researcher Award.

 

Profile:

Education

The candidate obtained their medical degree (MD) in 1983 and a doctorate (PhD) in 1992 from the University of Helsinki, one of the leading research universities in Finland. Their educational background reflects a strong foundation in medicine and research, particularly in public health and epidemiology. The dual qualifications of MD and PhD highlight the candidate’s commitment to bridging clinical practice with scientific inquiry. Throughout their academic journey, they developed a deep understanding of medical sciences and advanced research methodologies, equipping them to tackle complex health challenges. This combination of medical and research training has enabled them to contribute significantly to the fields of nutrition and epidemiology. Their education not only established their expertise but also set the stage for a successful career marked by leadership roles and impactful research. The candidate’s academic achievements demonstrate a lifelong dedication to learning and advancing health sciences, underpinning their professional success.

 

Professional Experiences 

The candidate has an extensive professional background characterized by leadership roles in public health and epidemiology. Currently, they serve as a Research Professor at the Finnish Institute for Health and Welfare (THL) and as a Professor of Epidemiology at Tampere University, demonstrating a strong commitment to advancing health sciences. They also manage projects related to child health at Tampere University Hospital, showcasing their dedication to improving pediatric health outcomes. Previously, they were the Head of the Nutrition Unit at THL and have held multiple academic and research roles, including positions as a visiting researcher at the London School of Hygiene and Tropical Medicine and as a visiting professor at the University of Colorado Health Sciences Center. Their international experience, combined with years of service in various national health councils and academic positions, highlights their multidisciplinary expertise and ability to lead significant research initiatives in nutrition, epidemiology, and public health.

 

Research Interests

The candidate’s research interests focus on the intersection of nutrition, epidemiology, and public health, with a strong emphasis on understanding the role of diet in the prevention and development of chronic diseases, particularly type 1 diabetes and autoimmune conditions. They have led numerous large-scale, longitudinal studies that explore how dietary patterns, early nutrition, and environmental factors influence disease risk from childhood through adulthood. Their work aims to identify critical dietary determinants of health, unraveling complex interactions between genetics, immune response, and lifestyle factors. The candidate’s research also extends to nutritional epidemiology, investigating the impact of maternal and infant nutrition on long-term health outcomes. Through participation in international consortia and collaborations, they have contributed significantly to advancing scientific knowledge on immune-mediated diseases and dietary interventions. Their ultimate goal is to inform public health policies and develop evidence-based dietary guidelines that promote disease prevention and enhance the quality of life across populations.

 

Research Skills

The candidate demonstrates exceptional research skills characterized by a robust blend of scientific rigor, leadership, and multidisciplinary collaboration. As a Research Professor at the Finnish Institute for Health and Welfare, they lead innovative studies that address critical public health challenges, particularly in the fields of nutrition and epidemiology. Their expertise is further showcased by their involvement in international projects, such as the EU-consortium Zero Hidden Hunger and national nutrition monitoring initiatives, where they serve as a principal investigator. The candidate’s prolific publication record in high-impact journals underscores their ability to produce meaningful, data-driven insights that influence the scientific community and public health policies. They have consistently contributed to groundbreaking research on the relationship between diet and chronic diseases, including type 1 diabetes, through methodologically sound studies. Their ability to manage complex research projects and guide multidisciplinary teams highlights their outstanding research skills and commitment to advancing scientific knowledge for societal benefit.

 

Award And Recognition 

The candidate’s outstanding contributions to nutrition and epidemiological research have earned them significant recognition within the scientific community. As a Research Professor at the Finnish Institute for Health and Welfare and a Professor of Epidemiology at Tampere University, they have led pioneering studies that address critical public health issues, including dietary impacts on autoimmune diseases. Their work has been published extensively in high-impact journals, and they are regularly invited to contribute to key international research collaborations, such as the EU-consortium Zero Hidden Hunger. They have played pivotal roles as principal investigator and committee member in numerous landmark studies, demonstrating exceptional leadership and expertise. The candidate’s dedication to advancing the fields of nutrition and public health has not only influenced policy but also improved health outcomes globally. Their achievements reflect a distinguished career marked by impactful research, academic leadership, and a commitment to enhancing the well-being of populations worldwide.

 

Conclusion

Based on the candidate’s comprehensive qualifications and achievements, they are highly deserving of the Best Researcher Award. With an extensive educational background that includes an MD and PhD from the University of Helsinki, the candidate has built a robust foundation in medical and research expertise. Their professional experience spans multiple high-impact roles, including Research Professor at the Finnish Institute for Health and Welfare and Professor of Epidemiology at Tampere University. They have demonstrated exceptional leadership in numerous significant research projects, such as the EU-consortium Zero Hidden Hunger and national nutrition monitoring programs. The candidate’s prolific publication record in top-tier journals, particularly on diet and autoimmune diseases like type 1 diabetes, highlights their contribution to advancing public health knowledge. Their multidisciplinary expertise, international collaborations, and commitment to impactful research establish them as a leading figure in their field, making them an outstanding candidate for this award.

 

Publication Top Notes

  1. Title: Early-pregnancy BMI, maternal gestational weight gain, and asthma and allergic diseases in children
    Authors: Ojwang’, V., Nwaru, B.I., Hanna-Mari, T., … Knip, M., Virtanen, S.M.
    Journal: Pediatric Allergy and Immunology
    Year: 2024
    Citations: 0
  2. Title: High Concentrations of Immunoglobulin G Against Cow Milk Proteins and Frequency of Cow Milk Consumption Are Associated With the Development of Islet Autoimmunity and Type 1 Diabetes—The Trial to Reduce Insulin-dependent Diabetes Mellitus (IDDM) in the Genetically at Risk (TRIGR) Study
    Authors: Niinistö, S., Cuthbertson, D., Miettinen, M.E., … Savilahti, E., Virtanen, S.M.
    Journal: Journal of Nutrition
    Year: 2024
    Citations: 0
  3. Title: Maternal gluten, cereal, and dietary fiber intake during pregnancy and lactation and the risk of islet autoimmunity and type 1 diabetes in the child
    Authors: Hakola, L., Lund-Blix, N.A., Takkinen, H.-M., … Aki, S., Marja, R.
    Journal: Clinical Nutrition ESPEN
    Year: 2024
    Citations: 0
  4. Title: Gut Inflammation Markers, Diet, and Risk of Islet Autoimmunity in Finnish Children – A Nested Case-Control Study
    Authors: Salo, T.E., Hakola, L., Niinistö, S., … Knip, M., Virtanen, S.M.
    Journal: Journal of Nutrition
    Year: 2024
    Citations: 0
  5. Title: Serum proteomics of mother-infant dyads carrying HLA-conferred type 1 diabetes risk
    Authors: Bhosale, S.D., Moulder, R., Suomi, T., … Knip, M., Lahesmaa, R.
    Journal: iScience
    Year: 2024
    Citations: 0
  6. Title: Intake of B vitamins and the risk of developing islet autoimmunity and type 1 diabetes in the TEDDY study
    Authors: Hakola, L., Mramba, L.K., Uusitalo, U., … Norris, J.M., Virtanen, S.M.
    Journal: European Journal of Nutrition
    Year: 2024
    Citations: 1
  7. Title: Detecting potential outliers in longitudinal data with time-dependent covariates
    Authors: Mramba, L.K., Liu, X., Lynch, K.F., … Uusitalo, U.M., Krischer, J.P.
    Journal: European Journal of Clinical Nutrition
    Year: 2024
    Citations: 3
  8. Title: Fruit, berry, and vegetable consumption and the risk of islet autoimmunity and type 1 diabetes in children—the Type 1 Diabetes Prediction and Prevention birth cohort study
    Authors: Mattila, M., Takkinen, H.-M., Peltonen, E.J., … Knip, M., Virtanen, S.M.
    Journal: American Journal of Clinical Nutrition
    Year: 2024
    Citations: 1
  9. Title: How prices and income influence global patterns in saturated fat intake by age, sex and world region: a cross-sectional analysis of 160 countries
    Authors: Ahles, A., Muhammad, A., Yenerall, J.N., … Siamusantu, W., Brown, K.
    Journal: BMJ Open
    Year: 2024
    Citations: 0
  10. Title: Periodic mobile application (eMOM) with self-tracking of glucose and lifestyle improves treatment of diet-controlled gestational diabetes without human guidance: a randomized controlled trial
    Authors: Kytö, M., Hotta, S., Niinistö, S., … Heihonen, S., Koivusalo, S.B.
    Journal: American Journal of Obstetrics and Gynecology
    Year: 2024
    Citations: 0

 

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