Rukiye Demir | AI in Healthcare | Best Researcher Award

Posted on by sciencefather

Assist. Prof. Dr. Rukiye Demir | AI in Healthcare | Best Researcher Award

Assistant Professor at Çanakkale Onsekiz Mart University, Turkey

Dr. Rukiye Demir is a dedicated academic in the field of midwifery, currently serving as a Doctor Öğretim Üyesi (Assistant Professor) at Çanakkale Onsekiz Mart University, Faculty of Health Sciences, Department of Midwifery. With a professional background deeply rooted in women’s health, reproductive care, and midwifery education, she has consistently contributed to the academic community through research, teaching, and participation in various national scientific projects. Her work emphasizes empowering women during childbirth and the postpartum period through evidence-based education and support. She also holds various academic and administrative roles, including department head and quality commission membership, further showcasing her leadership in health sciences education.

Profile

Scopus

Education

Dr. Demir’s academic journey began with a Bachelor’s degree in Midwifery from Süleyman Demirel University in 2008. She then pursued her Master’s degree in Public Health at Gaziantep University, where she completed a thesis titled “The prevalence of malnutrition in 0–2-year-old children and the impact of maternal education” in 2012. Driven by a passion for maternal and child health, she earned her Ph.D. in Midwifery from Aydın Adnan Menderes University in 2021, presenting a dissertation that examined the impact of discharge education methods on postpartum readiness, maternal adaptation, and breastfeeding self-efficacy. Her educational progression reflects a continuous commitment to advancing maternal and neonatal care.

Experience

Dr. Demir began her academic career with a strong foundation in clinical midwifery, which informed her transition into academia. Since April 2022, she has been a faculty member at Çanakkale Onsekiz Mart University. She has taught a wide range of undergraduate courses, including “Introduction to Midwifery,” “Women’s Health,” “Risky Birth and Postpartum Period,” and “Public Education.” Her teaching integrates theoretical knowledge with hands-on clinical training, preparing students to provide holistic maternal care. In addition to her teaching duties, Dr. Demir has taken on significant administrative responsibilities, serving as department chair, commission head, and member of the faculty’s quality and accreditation committees.

Research Interest

Dr. Demir’s research interests center around maternal health, breastfeeding self-efficacy, postpartum psychological well-being, intergenerational perspectives in midwifery, and the role of midwives during crises such as natural disasters. She has led and collaborated on multiple nationally funded projects, including studies on postpartum education, psychological resilience among midwives, generational differences in perceptions of bodily autonomy, and the development of health education strategies. She is particularly interested in how educational interventions can improve health outcomes for mothers and infants, as well as how climate change and disaster preparedness intersect with women’s reproductive health.

Award

Dr. Demir’s scholarly work has been recognized at national and international conferences. She received the “Best Oral Presentation Award” at the 5th International and 6th National Midwifery Congress in 2021. Earlier in her career, she earned third place for an oral presentation at the 5th International and 9th National Student Midwifery Congress in 2018. These accolades affirm her contributions to advancing midwifery research and education and reflect her ability to translate clinical observations into impactful research.

Publication

Dr. Demir has authored several impactful articles published in internationally peer-reviewed journals. Her works include:

Demir, R., Kaya Odabaş, R., Taşpınar, A. (2025). The relationship between loneliness perception and breastfeeding self‐efficacy and breastfeeding behaviors in mothers. Journal of Obstetrics and Gynaecology Research, 51(1), 1–9. Cited by 4 articles.

Kaya Odabaş, R., Demir, R. (2025). The relationship between body image, depression, and breastfeeding attitudes in women with 0–24-month-old infants. Revista da Associação Médica Brasileira, 71(2), 1–5. Cited by 3 articles.

Demir, R. (2025). Intergenerational Examination of the Vocational Professional Values and Motivations of Midwives. Adnan Menderes University Journal of Health Sciences, 9(1), 109–121. Cited by 2 articles.

Demir, R. (2024). Midwives’ Awareness of Disasters and Perceptions on the Role of Midwifery Services During Disasters. YOBÜ Journal of Health Sciences, 5(3), 279–292. Cited by 1 article.

Petek, S., Demir, R. (2024). The Effect of Postpartum Adaptation Education via Video Methods on Postpartum Depression in Mothers. Bandırma Onyedi Eylül University Journal of Health Sciences and Research, 6(3), 487–499. Cited by 3 articles.

Demir, R. (2024). Examining Women’s Perceptions of Privacy According to Generations and Birth Preferences. Sakarya University Journal of Holistic Health, 7(3), 211–218. Cited by 1 article.

Bilgiç, B., Demir, R. (2024). The Effect of Climate Change on Women’s Reproductive Health: A Review. (Journal name not specified in provided data). Cited by 2 articles.

These publications reflect her interdisciplinary approach, combining psychology, education, public health, and midwifery.

Conclusion

Dr. Rukiye Demir stands out as a committed educator and researcher in the field of midwifery, blending academic excellence with clinical relevance. Her research not only enhances midwifery practices but also contributes to public health policies and educational reform in healthcare. Through her scholarly work, administrative leadership, and mentorship in national research projects, she continues to influence the future of maternal and child health education in Turkey. Her contributions underscore the value of interdisciplinary collaboration in improving women’s healthcare outcomes across generations and communities.

Yuming Jiang | AI in Healthcare | Best Researcher Award

Posted on by sciencefather

Assist. Prof. Dr. Yuming Jiang | AI in Healthcare | Best Researcher Award

Assistant Professor of Radiation Oncology at Wake Forest University School of Medicine, United States

Dr. Yuming Jiang, MD, PhD, is an Assistant Professor in the Department of Radiation Oncology at Wake Forest University School of Medicine, North Carolina, USA. His research and clinical expertise focus on the integration of artificial intelligence and digital pathology to improve cancer prognosis and treatment strategies. With a strong background in oncology and computational medicine, Dr. Jiang has made significant contributions to the understanding of tumor microenvironments and the application of deep learning in radiomics.

Profile

Google Scholar

Education

Dr. Jiang obtained his MD and PhD degrees from prestigious institutions, demonstrating a commitment to both clinical practice and scientific research. He completed his PhD in oncology at a leading university in China, followed by a postdoctoral fellowship at Stanford University from 2018 to 2023. In August 2023, he joined Wake Forest University School of Medicine as an Assistant Professor, where he continues to advance the field of radiation oncology through innovative research and patient-centered care.

Experience

Dr. Jiang has a diverse professional background that spans clinical medicine, academic research, and technological innovation. Before joining Wake Forest University, he worked as a Postdoctoral Research Fellow at Stanford University, where he contributed to groundbreaking studies on digital pathology, cancer immunotherapy, and noninvasive imaging techniques. His expertise in artificial intelligence and machine learning has enabled him to develop predictive models for cancer prognosis, treatment response, and survival outcomes.

Research Interests

Dr. Jiang’s research is centered on the intersection of oncology and artificial intelligence. His key interests include deep learning-based radiomics, tumor microenvironment analysis, and predictive modeling for personalized cancer treatment. He aims to harness computational tools to enhance diagnostic accuracy and therapeutic decision-making in radiation oncology. His work has had a profound impact on the understanding of tumor biology and has paved the way for more effective, individualized treatment strategies.

Awards

Dr. Jiang has been recognized for his contributions to oncology and medical research with several prestigious awards. His research has received accolades from leading medical societies and journals, highlighting his role in advancing cancer diagnostics and treatment methodologies. His innovative work in AI-driven oncology has earned him invitations to speak at international conferences and collaborate with esteemed institutions worldwide.

Publications

Jiang Y, Zhang Z, Wang W, Huang W, et al. “Biology-guided deep learning predicts prognosis and cancer immunotherapy response.” Nature Communications, 2023; 14: 5135. (Cited by 16.6)

Jiang Y, Zhou K, Sun Z, Wang H, et al. “Non-invasive tumor microenvironment evaluation using deep learning radiomics.” Cell Reports Medicine, 2023; 4:101146. (Cited by 14.3)

Jiang Y, Zhang Z, Yuan Q, Wang W, et al. “Predicting peritoneal recurrence from CT images using multi-task deep learning.” Lancet Digital Health, 2022; 4(5): e340-e350. (Cited by 36.6)

Jiang Y, Li R, Li G. “Artificial intelligence for clinical oncology: current status and future outlook.” Science Bulletin, 2023; (23): 00113-5. (Cited by 18.9)

Jiang Y, Liang X, Wang W, Chen C, et al. “Radiographical assessment of tumor stroma and treatment outcomes using deep learning.” Lancet Digital Health, 2021; 3(6): e371-e382. (Cited by 36.6)

Jiang Y, Jin C, Yu H, Wu J, et al. “Deep Learning CT Signature to Predict Survival and Chemotherapy Benefit in Gastric Cancer.” Annals of Surgery, 2021; 274(6): e1153-e1161. (Cited by 13.8)

Jiang Y, Wang H, Wu J, Chen C, et al. “Noninvasive imaging evaluation of tumor immune microenvironment in gastric cancer.” Annals of Oncology, 2020; 31(6): 760-768. (Cited by 32.9)

Conclusion

Dr. Yuming Jiang is at the forefront of integrating artificial intelligence into oncology, bringing innovative solutions to cancer diagnosis and treatment. His expertise in deep learning, radiomics, and tumor microenvironment studies has significantly advanced the field of radiation oncology. With a strong research background and a commitment to improving patient outcomes, Dr. Jiang continues to contribute to the medical community through his pioneering work in AI-driven cancer diagnostics and therapy.

Peng YU | AI in Healthcare | Best Researcher Award

Posted on by sciencefather

Mr. Peng YU | AI in Healthcare | Best Researcher Award

Associate Senior Doctor at The Second Affiliated Hospital of Nanchang University, China

Dr. Peng Yu is an Associate Senior Doctor in the Department of Endocrinology & Metabolism at The Second Affiliated Hospital of Nanchang University. With a strong background in medicine and extensive experience in both clinical and academic settings, he has made significant contributions to the study of endocrinology, metabolism, and cardiovascular diseases. His research spans various areas, including diabetes, cardiovascular health, and molecular mechanisms of metabolic disorders. In addition to his role as a clinician, he is an active researcher, reviewer for several prestigious international journals, and a recipient of multiple awards recognizing his contributions to medical science.

Profile

Scopus

Education

Dr. Yu earned his Ph.D. in Medicine from Nanchang University in 2017 and previously obtained a Master’s degree in Medicine from Nanjing Medical University in 2014. His academic journey has provided him with in-depth expertise in internal medicine, cardiology, and metabolic disorders. Furthering his research career, he completed a fellowship at Massachusetts General Hospital, Harvard Medical School, focusing on cutting-edge research in CCP medicine. His multidisciplinary education has allowed him to integrate clinical expertise with molecular and cellular research, contributing to advancements in the field of endocrinology and metabolism.

Experience

Dr. Yu has held various roles in the medical field, beginning as a Resident Doctor at The Second Affiliated Hospital of Nanchang University from 2017 to 2019. He was later promoted to Attending Doctor, serving from 2019 to 2021. Since 2021, he has been an Associate Senior Doctor at the same institution, where he continues to provide expert medical care, mentor students, and engage in research activities. His collaborations with prominent researchers, including those at Harvard Medical School and Jilin University, have enriched his expertise and research output. His involvement in over 60 research projects, including several funded by the National Natural Science Foundation of China, highlights his leadership in medical research.

Research Interests

Dr. Yu’s research primarily focuses on endocrinology and metabolism, with particular emphasis on diabetes, cardiovascular diseases, and the molecular mechanisms underlying metabolic disorders. His expertise extends to mitochondrial function, oxidative stress, and the role of programmed cell death in disease progression. Utilizing various research methodologies, including confocal microscopy, Seahorse metabolic analysis, and in vivo disease modeling, he has contributed to the understanding of metabolic disorders at both cellular and systemic levels. His work also explores novel therapeutic targets for diabetic cardiomyopathy and myocardial ischemia-reperfusion injury, positioning him at the forefront of translational medicine in this domain.

Awards

Dr. Yu has been recognized for his contributions to medical research with multiple awards, including:

  • Jiangxi Provincial Science and Technology Progress Third Prize (2019)
  • The Third Prize of Medical Science and Technology of Jiangsu Province (2019, 2023)
  • Young Innovative Talent Award, The Second Affiliated Hospital of Nanchang University (2023)

His achievements underscore his commitment to advancing medical knowledge and improving clinical outcomes in endocrinology and metabolism.

Publications

Dr. Yu has published extensively, with over 150 academic papers, including more than 100 SCI-indexed publications. His recent notable works include:

Yu P et al. “Comprehensive exploration of programmed cell death landscape in lung adenocarcinoma combining multi-omic analysis and experimental verification.” Sci Rep. 2025; 15(1):5364.

Yu P et al. “Performance of ChatGPT on the Chinese Postgraduate Examination for Clinical Medicine: Survey Study.” JMIR Med Educ. 2024; 10:e48514.

Zhao H, Li X, Yu P et al. “Association between weight loss and outcomes in patients undergoing atrial fibrillation ablation: A systematic review and meta-analysis.” Nutr Metab (Lond). 2023; 20(1):5.

Yu P et al. “Obesity and clinical outcomes in COVID-19 patients without comorbidities.” Front Endocrinol. 2022; 13:936976.

Yu P et al. “Dexmedetomidine post-conditioning alleviates myocardial ischemia-reperfusion injury in rats by ferroptosis inhibition via SLC7A11/GPX4 axis activation.” Hum Cell. 2022; 35(3):836-848.

Peng Y et al. “The Association of Serum IL-10 Levels with the Disease Activity in Systemic-Onset Juvenile Idiopathic Arthritis Patients.” Mediators Inflamm. 2021; 2021:6650928.

Conclusion

Dr. Peng Yu is a distinguished clinician and researcher specializing in endocrinology and metabolism. His contributions to the field through extensive research, innovative approaches to disease treatment, and active mentorship have positioned him as a leading expert in his domain. With numerous research grants, impactful publications, and prestigious awards, he continues to drive advancements in medical science. His work not only enhances the understanding of metabolic disorders but also informs the development of novel therapeutic strategies, ensuring better patient outcomes in the future.

yang Li | AI in Healthcare | Best Researcher Award

Posted on by sciencefather

Prof. yang Li | AI in Healthcare | Best Researcher Award

Chief physician at First Hospital of Shanxi Medical University, China

Dr. Yang Li is a distinguished Chief Neurologist at the First Hospital of Shanxi Medical University, with over three decades of experience in cognitive disorder research and clinical practice. He holds a Doctor of Medicine (M.D.) degree and serves as a doctoral advisor. As the head of the Core Advanced Cognitive Center, he has played a pivotal role in advancing cognitive health initiatives in China. His contributions include the establishment of Shanxi Province’s first memory clinic in 2009, which received national recognition in subsequent years. Dr. Li has spearheaded multiple projects focused on Alzheimer’s disease (AD) and Parkinson’s disease (PD), significantly enhancing early detection and patient care strategies. Recognized for his exceptional contributions, he has been awarded the Second Prize of the Shanxi Provincial Science and Technology Progress Award and was selected as a leading talent under the “San Jin Talents” Support Program.

Profile

Scopus

Education

Dr. Yang Li obtained his Doctor of Medicine (M.D.) degree, equipping him with the expertise necessary for his extensive work in neurology and cognitive disorders. As a dedicated academic, he has mentored numerous doctoral candidates, guiding them in clinical research. His academic journey reflects a strong commitment to advancing neurological science, particularly in memory and cognitive function research. His efforts have contributed significantly to the development of national health policies and innovative diagnostic techniques for neurodegenerative disorders.

Experience

With more than 30 years in the field, Dr. Li has played a transformative role in neurology, specializing in cognitive disorders. His leadership at the First Hospital of Shanxi Medical University has resulted in numerous breakthroughs in early detection and treatment methodologies for conditions such as Alzheimer’s and Parkinson’s disease. Dr. Li has also been instrumental in establishing national training programs, including the Cognitive Specialty Capacity Building Project initiated by the National Health Commission. His expertise extends beyond clinical practice to impactful policy formulation and implementation. His work in digital screening tools and community-based healthcare projects underscores his innovative approach to neurological health.

Research Interests

Dr. Li’s research is primarily centered on cognitive disorders, particularly Alzheimer’s disease and other neurodegenerative conditions. He has pioneered advancements in early screening tools and interventions, integrating digital diagnostics such as neuroimaging assessments, PET-CT scans, and gait analysis. His recent initiatives focus on community-based screening, aiming to develop scalable and efficient methods for detecting mild cognitive impairment (MCI) and dementia in aging populations. His work contributes significantly to global research in cognitive health, emphasizing preventive strategies and innovative therapeutic approaches.

Awards

Dr. Li’s contributions to cognitive neurology have earned him numerous accolades. He was honored with the Second Prize of the Shanxi Provincial Science and Technology Progress Award in recognition of his pioneering research in neurodegenerative disorders. In 2018, he was selected as a leading talent under the “San Jin Talents” Support Program. His memory clinic, established in 2009, was recognized as a “National Outstanding Memory Clinic” in both 2013 and 2014. His dedication to advancing early screening and intervention methods for cognitive impairments has positioned him as a key figure in neurological research and healthcare innovation.

Publications

Dr. Li has contributed extensively to the scientific community with high-impact publications in leading journals. Some of his notable works include:

Qin Y, Han H, Li Y, et al. (2023). “Estimating Bidirectional Transitions and Identifying Predictors of Mild Cognitive Impairment.” Neurology, 100(3), e297-e307. [Cited by 120 articles].

Jia J, Zhao T, Liu Z, et al. (2023). “Association between Healthy Lifestyle and Memory Decline in Older Adults: 10-Year Prospective Cohort Study.” BMJ, 380, e072691. [Cited by 95 articles].

Wu H, Ren Z, Gan J, et al. (2022). “Blood Pressure Control and Risk of Post-Stroke Dementia.” Front Neurol, 13, 1069667. [Cited by 87 articles].

Zhang X, Lv L, Min G, Wang Q, Zhao Y, Li Y. (2021). “Complex Figure Test and Its Clinical Application in Neuropsychiatric Disorders.” Front Neurol, 12, 680474. [Cited by 78 articles].

Xu SY, Song MM, Liu DY, et al. (2024). “Contrast-Induced Encephalopathy with Elevated Cerebrospinal Fluid Protein.” Br J Neurosurg, 38(4), 963-967. [Cited by 56 articles].

Wang F, Fei M, Hu WZ, et al. (2022). “Prevalence of Constipation in Elderly and Its Association with Dementia.” Front Neurosci, 15, 821654. [Cited by 102 articles].

Xing Y, Zhu Z, Du Y, et al. (2020). “COG-REAGENT: Cognitive Training in Amnestic Mild Cognitive Impairment.” J Alzheimers Dis, 75(3), 779-787. [Cited by 112 articles].

Conclusion

Dr. Yang Li has made remarkable contributions to cognitive neurology through his pioneering research, clinical expertise, and commitment to early detection of neurodegenerative disorders. His leadership in community-based screening projects and digital health interventions has significantly advanced the field of cognitive disorders. With numerous prestigious awards, high-impact publications, and dedicated mentorship, Dr. Li continues to shape the landscape of Alzheimer’s and dementia research. His work not only enhances diagnostic methodologies but also fosters preventive healthcare strategies, making a lasting impact on the global fight against cognitive decline.

Hamza Kahri | AI in Healthcare | Best Researcher Award

Posted on by sciencefather

Dr. Hamza Kahri | AI in Healthcare | Best Researcher Award

Researcher | Tours University | France

Dr. Hamza Kahri is a highly accomplished chemist specializing in materials chemistry, with a focus on the development of Metal-Organic Frameworks (MOFs), nanomaterials, and their applications in energy storage, CO2 capture, hydrogen storage, and catalysis. Through extensive research during his PhD and postdoctoral studies, Dr. Kahri has authored over 27 peer-reviewed journal articles and actively contributed to the scientific community through teaching, supervising graduate students, and reviewing for leading chemistry journals. His interdisciplinary expertise and collaborative projects have solidified his standing as an innovator in the field.

Profile

Scopus

Education

Dr. Kahri’s academic journey began at the University of Monastir, Tunisia, where he earned a BSc in Chemistry in 2011, followed by an MSc in Chemistry specializing in Electrochemistry in 2013. He completed his PhD in Materials Chemistry in 2017, focusing on hydrogen generation through chemical hydrides using metal-based nanocatalysts. His doctoral work under the guidance of Prof. Ridha Touati and Prof. Umit B. Demirci emphasized innovative approaches to catalysis, setting the foundation for his future contributions.

Professional Experience

Dr. Kahri’s career includes a range of academic and research roles. He currently serves as a temporary assistant professor at Université de Tours, France, where he contributes to teaching and advanced research in energy materials. His previous roles include assistant professorships at Université de Poitiers, France, and the University of Monastir, Tunisia. His postdoctoral research at institutions such as Bilkent University, Turkey, and Atatürk University focused on spectroelectrochemistry of conducting polymers and the use of mesoporous materials in catalysis, respectively.

Research Interests

Dr. Kahri’s research focuses on the synthesis and application of MOFs, nanomaterials, and advanced catalysts for energy and environmental solutions. His work explores innovative techniques in electrochemical sensors, supercapacitors, and wastewater treatment. Additionally, he delves into heterogeneous catalysis and chemical kinetics, aiming to develop sustainable technologies for energy storage and pollutant remediation.

Awards and Recognition

Dr. Kahri’s excellence in research has been acknowledged through prestigious academic fellowships, including those from the Turkish Academy of Sciences and the Ministry of Education in France and Germany. These awards facilitated his research stays at leading institutions, enhancing his global academic collaborations and contributions.

Publications

Dr. Kahri has an extensive publication record in high-impact journals. Below are seven representative works:

Enhanced Catalysis of Monodisperse AgPd Alloy Nanoparticles (Nano Research, 2017; IF 9.9) – This work focuses on ammonia borane dehydrogenation under sunlight.

Hydrogen Generation from Sodium Borohydride (RSC Advances, 2016; IF 3.9) – Discusses cobalt-copper catalysts in hydrolysis reactions.

Dopamine Detection via Modified Electrodes (Journal of Electrochemical Society, 2020; IF 3.9) – A study on advanced electrochemical sensors.

Simultaneous Detection of Catechol and Hydroquinone (IEEE Sensors Journal, 2021; IF 4.3) – Highlights the application of nanomaterial-modified electrodes.

Development of Non-Enzymatic Cholesterol Sensors (Journal of Iranian Chemical Society, 2021; IF 2.4) – Research on composite-based sensors.

Rapid Synthesis of Zeolitic Imidazolate Frameworks (Journal of Materials Science, 2022; IF 4.5) – Investigates CO2 and CH4 adsorption properties.

Cu-MOF Catalyst for 4-Nitrophenol Reduction (Reaction Chemistry & Engineering, 2022; IF 3.9) – Explores green catalysis approaches.

Conclusion

Dr. Hamza Kahri’s career reflects a deep commitment to advancing scientific knowledge in materials chemistry. His contributions to sustainable technologies and energy applications underscore his dedication to solving global challenges. As a mentor, researcher, and collaborator, Dr. Kahri’s work continues to inspire innovation in the scientific community.