Dr. José Ángel Rubiño | Health Professions | Best Researcher Award

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Dr. José Ángel Rubiño | Health Professions | Best Researcher Award

Professor, University of the Balearic Islands, Spain

Dr. José Ángel Rubiño-Díaz is a distinguished Spanish researcher and academic specializing in chronobiology, neuropsychology, and nursing. With a career spanning over two decades, he has made remarkable contributions to biological rhythms, sleep neurophysiology, and clinical neuroscience. As a dedicated nurse, psychologist, and neuroscientist, he seamlessly integrates his expertise across disciplines. He is currently affiliated with the Universitat de les Illes Balears (UIB) and Hospital Universitario Son Espases (HUSE), where he actively engages in teaching, research, and clinical practice. His work has been recognized with multiple research awards, and he continues to contribute significantly to scientific literature and academic mentorship.

Publication Profile

ORCID

🎓 Academic Background

Dr. Rubiño-Díaz earned his Nursing degree from the University of Almería (1999) and later pursued a Psychology degree at the University of Granada (2003). His academic journey continued with a Master’s in Neuroscience from the Universitat de les Illes Balears (2011), where he later completed his Ph.D. in Neuroscience (2019) with Cum Laude distinction. He also holds a Diploma in Advanced Studies in Psychobiology from UNED (2013). His extensive postgraduate training includes research methodologies and bibliographic studies, further enhancing his contributions to neuroscience and clinical psychology.

💼 Professional Experience

Dr. Rubiño-Díaz has built a multifaceted career encompassing clinical, academic, and research roles. He has been a faculty member at UIB since 2011, teaching in nursing and psychology programs, and has supervised multiple master’s theses and doctoral research. In addition to his academic role, he serves as a researcher at HUSE, where he focuses on sleep neurophysiology, biological rhythms, and neuropsychology. His clinical expertise extends to his role as a nurse in emergency care and as a clinical psychologist specializing in neuropsychology. He is also the coordinator of the Neuropsychology Working Group at the Official College of Psychologists of the Balearic Islands (GT-NPS-COPIB), actively engaging in scientific dissemination and clinical training.

🏆 Awards and Honors

Dr. Rubiño-Díaz’s groundbreaking research has been recognized with several prestigious awards. He received research excellence awards from HUSE in 2017 and 2020 for his contributions to nursing and neuroscience. His project on sleep and rest in emergency services was awarded at the 1st International Congress on Humanization in Emergency Medicine. His continuous academic and research excellence has earned him significant recognition in the fields of neuropsychology, nursing, and biological rhythms.

🔬 Research Focus

Dr. Rubiño-Díaz’s research revolves around chronobiology, neuropsychology, and biological rhythms, with a particular focus on sleep neurophysiology. He has conducted pioneering studies on the impact of sleep on cognitive function and mental health, exploring interventions like light therapy for improving mood and sleep quality in the elderly. His research spans nursing, psychobiology, and neuroscience, making significant contributions to the understanding of non-REM and REM sleep, circadian rhythms, and their effects on health and well-being. As an investigator in multiple research groups, he collaborates on projects advancing clinical applications of sleep science.

🔍 Conclusion

Dr. José Ángel Rubiño-Díaz stands as a leading figure in the intersection of nursing, psychology, and neuroscience. His commitment to scientific research, clinical practice, and academic mentorship reflects his passion for advancing medical knowledge. With an extensive publication record, multiple research collaborations, and dedication to healthcare innovation, he continues to impact neuropsychology, sleep research, and emergency nursing. His work is shaping the future of biological rhythm studies and patient-centered healthcare.

📚 Publication Top Notes

The Disputable Costs of Sleeping (2025) – Biology
DOI: 10.3390/biology14040352
A multidisciplinary study analyzing the economic and biological costs of sleep patterns in mammals.

Actitudes y motivaciones en la investigación enfermera en un hospital de nivel III (2024) – Index de Enfermería Digital
DOI: 10.58807/indexenferm20246855
Investigates the research attitudes and motivations among nursing professionals in a tertiary hospital.

Mammalian NREM and REM sleep: Why, when and how (2023) – Neuroscience & Biobehavioral Reviews
DOI: 10.1016/j.neubiorev.2023.105041
Explores the evolutionary and functional aspects of NREM and REM sleep in mammals.

The Birth of the Mammalian Sleep (2022) – Biology
DOI: 10.3390/biology11050734
Examines the origins and development of sleep mechanisms in mammals.

Efecto positivo de la terapia de luz brillante sobre el estado de ánimo y la calidad del sueño en las personas mayores institucionalizadas (2021) – Revista Española de Geriatría y Gerontología
 Demonstrates the benefits of bright light therapy on mood and sleep quality in elderly populations.

Ms. tianyu zhou | Health Sciences | Best Researcher Award

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Ms. tianyu zhou | Health Sciences | Best Researcher Award

Editor, Disease Control And Prevetion, China

Zhou Tianyu is a dedicated researcher in the field of pharmacology, specializing in drug safety evaluation and molecular pharmacology. Born in Weinan City, Shaanxi Province, China, she has an extensive background in pharmacy and biomedical research. With a strong passion for scientific exploration, she has actively contributed to multiple national research projects, focusing on drug mechanisms, adverse drug reactions, and bioinformatics analysis. Her research expertise includes PCR, Western blot, flow cytometry, and serum pharmacology, making her proficient in both experimental operations and data analysis.

Publication Profile

Scopus

🎓 Education

Zhou Tianyu earned her Master’s degree in Pharmacy from Shaanxi University of Chinese Medicine (2021-2024), where she studied advanced courses such as Pharmacology, Medicinal Chemistry, and Molecular Biology. She also completed her undergraduate studies at the same institution (2017-2021), gaining in-depth knowledge of Organic Chemistry, Analytical Chemistry, and Natural Drug Chemistry. Her academic journey has equipped her with strong theoretical and practical skills in pharmaceutical sciences.

🏆 Experience

Throughout her research career, Zhou Tianyu has been involved in numerous prestigious projects. She contributed to the study of donkey-hide gelatin’s role in regulating alveolar macrophage transformation in chronic obstructive pulmonary disease (COPD) based on the TLR/NF-κB/L-arginine signaling axis. She successfully built a COPD mouse model and conducted inflammation studies using RAW264.7 cells. Additionally, she worked on mining adverse drug reactions from the FAERS database, leading to a published article in Scientific Reports. Her industrial experience includes internships at Xi’an Zhengda Pharmaceutical Co., Ltd. and Beijing Union Jianhao Pharmaceutical Technology Development Co., Ltd., where she specialized in drug processing, safety evaluation, and archives management.

🏅 Awards and Honors

Zhou Tianyu’s academic excellence has been recognized with the Third-Class Postgraduate Scholarship (2022). She has also actively participated in social service and professional activities, earning the title of “Excellent Volunteer” in the “Serving the Society, Caring for Health” Free Clinic (2017-2018) and at the 13th Shaanxi Province Games (2018). Furthermore, she secured third place in the “Shennong Painting Hundreds of Herbs—Chinese Medicine Painting Exhibition” and held leadership roles in her university’s Youth League Organization.

🔍 Research Focus

Her research interests include drug safety evaluation, bioinformatics, network pharmacology, and molecular mechanisms of drug action. She has contributed significantly to studying the anti-pulmonary fibrosis effects of Prismatomeris connata extract using spatially resolved metabolomics. She also explored hepatotoxicity mechanisms in Polygonum multiflorum through network toxicology. Her expertise extends to allergy research, where she investigated inflammatory mediator responses in RBL2H3 cells.

📝 Conclusion

Zhou Tianyu is an ambitious and skilled researcher with a strong foundation in pharmacology, data analysis, and experimental methodologies. Her ability to integrate bioinformatics with laboratory research has contributed to high-impact publications and drug safety assessments. With her keen analytical mind and collaborative nature, she continues to explore innovative pharmaceutical solutions while striving for excellence in drug research and evaluation.

📚 Publications

Spatially resolved metabolomics visualizes heterogeneous distribution of metabolites in lung tissue and the anti-pulmonary fibrosis effect of Prismatomeris connata extract. 

Unraveling the mechanism of ethyl acetate extract from Prismatomeris connata Y. Z. Ruan root in treating pulmonary fibrosis: insights from bioinformatics, network pharmacology, and experimental validation. 

 Inegrated spatially resolved metabolomics and network toxicology to investigate the hepatotoxicity mechanisms of component D of Polygonum multiflorum Thunb. 

Doohee Lee | Medical imaging | Computer Vision Contribution Award

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Mr. Doohee Lee | Medical imaging | Computer Vision Contribution Award

ZIOVISION Co., Ltd., South Korea

Doohee Lee is the Chief Operating Officer (COO) at ZIOVISION Co., Ltd., where he leads advancements in AI-driven medical imaging solutions. With over a decade of experience in the medical AI field, he has collaborated with notable institutions such as Seoul National University Hospital and MEDICALIP Co., Ltd. He has published over 15 peer-reviewed articles and holds multiple U.S. and international patents in medical imaging and AI technologies. His innovative contributions in healthcare aim to revolutionize diagnostics and improve patient outcomes through advanced imaging technologies. 🔬💡

Publication Profile

Education:

Doohee Lee holds a B.S. and M.S. in Computer Science Engineering and is currently a Ph.D. candidate at Kangwon National University. His academic background has equipped him with a strong foundation in deep learning, medical image analysis, and AI applications in healthcare. 🎓📚

Experience:

With extensive experience in both academia and industry, Doohee Lee has contributed significantly to the field of medical AI. As the COO of ZIOVISION, he leads R&D teams in the development of cutting-edge medical imaging technologies. His previous roles at MEDICALIP Co., Ltd. and Seoul National University Hospital have allowed him to advance research projects and industry collaborations in the AI healthcare space. 💼🧑‍💻

Awards and Honors:

Doohee Lee’s groundbreaking work has earned him numerous accolades, including recognition in AI-driven medical imaging advancements. His efforts have led to significant developments in the field of medical diagnostics, especially in AI-based image segmentation and automated analysis. 🏆👏

Research Focus:

Doohee Lee specializes in AI-driven medical image analysis, focusing on deep learning-based segmentation, 3D image analysis, and clinical AI applications. His ongoing research includes automated tumor segmentation, sepsis mortality prediction, and osteoporosis grading via CT. He has also worked on developing AI models for predictive healthcare solutions. 🧠💻

Conclusion:

Doohee Lee’s expertise in medical AI and his leadership at ZIOVISION continue to drive innovation in healthcare. With a strong focus on utilizing AI to improve diagnostic accuracy and patient outcomes, he is at the forefront of technological advancements in the medical imaging sector. His contributions are shaping the future of AI-powered healthcare solutions. 🌐💪

Publications:

A Refined Approach to Segmenting and Quantifying Inter-Fracture Spaces in Facial Bone CT Imaging (2025) – Applied Sciences
DOI: 10.3390/app15031539
Cited by: 10 citations 📑

Very fast, high-resolution aggregation 3D detection CAM to quickly and accurately find facial fracture areas  (2024) – Computer Methods and Programs in Biomedicine
DOI: 10.1016/j.cmpb.2024.108379
Cited by: 5 citations 📑

Deep Learning-Based Dual-Stage Model for Accurate Nasogastric Tube Positioning in Chest Radiographs (2024) – SSRN
DOI: 10.2139/ssrn.4965848
Cited by: 3 citations 📑

Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study (2024) – Journal of Korean Medical Science
DOI: 10.3346/jkms.2024.39.e53
Cited by: 15 citations 📑

Fully Automated MRI Segmentation and Volumetric Measurement of Intracranial Meningioma Using Deep Learning (2022) – Journal of Magnetic Resonance Imaging
DOI: 10.1002/jmri.28332
Cited by: 50 citations 📑

Development of a deep learning-based auto-segmentation algorithm for hepatocellular carcinoma (HCC) and application to predict microvascular invasion of HCC using CT texture analysis: preliminary results. (2022) – Acta radiologica (Stockholm, Sweden: 1987)
DOI: 10.1177/02841851221100318
Cited by: 20 citations 📑

Clinical application of patient-specific 3D printing brain tumor model production system for neurosurgery (2021) – Scientific Reports
DOI: 10.1038/s41598-021-86546-y
Cited by: 30 citations 📑