Dr RuixueAi , University Of Oslo , Norway
Dr. Ruixue Ai 🇨🇳 is a dedicated scientist with a strong foundation in neurobiology, dentistry, and AI-based medical research. Currently serving as a Postdoctoral Fellow at Akershus University Hospital, University of Oslo 🇳🇴, she contributes significantly to Alzheimer’s research and AI-driven drug discovery 🧠💊. With a Doctor Philos from UiO and numerous impactful publications, her scientific journey spans China 🇨🇳 and Norway. She is a reviewer for top journals and an active member of several international research societies 🌍📚. Dr. Ai is known for her innovation, precision, and cross-disciplinary contributions to molecular biology and oral health care 🔍🧬.
Professional Profile
GOOGLE SCHOLAR
Education & Experience
Dr. Ai holds a Doctor Philos in Neurobiology (UiO & Ahus, 2023) 🧠, a Master’s in Dental Medicine from Sichuan University (2018) 🦷, and a Bachelor’s in Stomatology from Dalian Medical University (2014) 📘. She began her career exploring immune-related oral cancer mechanisms and later shifted towards neurodegenerative diseases and AI-based research 🔬🤖. Since 2023, she has worked as a Postdoctoral Fellow at the University of Oslo, and from July 2024, she will serve as a Visiting Researcher at Zhongshan School of Medicine, Sun Yat-sen University 🌏🏥. Her experience bridges dental medicine, neurobiology, and cutting-edge biomedical technology.
Professional Development
Dr. Ai’s professional journey includes memberships in esteemed organizations like the Genetics Society of America, Women in Autophagy, and the Norwegian AI Research Consortium 🌐👩🔬. She actively contributes to peer-reviewed science as a reviewer for journals such as Current Opinion in Structural Biology and Mechanisms of Ageing and Development 📖🧪. In 2024, she joins the HUNT Cloud community, reflecting her commitment to digital health and data-driven science ☁️💡. Her work spans collaborative international research, grant reviews, and conference committees, making her a rising star in interdisciplinary biomedical research 🔍🌍.
Research Focus
Dr. Ai’s research spans neurodegeneration, oral immunopathology, AI in drug discovery, and mitochondrial dynamics 🔬🧠. Her core focus is on NAD⁺-dependent mitophagy mechanisms for treating Alzheimer’s disease, using machine learning models and cross-species workflows 🤖🧬. Additionally, she explores the immune role of exhausted CD8+ T cells in oral cancers and psychoneuroimmunological hypotheses in pain syndromes like Burning Mouth Syndrome 🔥🧠. Her work is deeply interdisciplinary, integrating dental science, neurology, and computational biology to address age-related diseases and develop therapeutic strategies 🌐💊.
Awards & Honors
Dr. Ai’s contributions have earned her positions on journal review boards and scientific committees 🌟📚. Her landmark publication in Nature Biomedical Engineering (IF: 28.1) demonstrates her excellence in high-impact research 📈🔬. Her work has been cited over 340 times, with an h-index of 8, highlighting her growing influence in neurobiology and oral medicine 📊🧠. As a young but impactful scientist, she is recognized by peers for innovation in aging, mitophagy, and AI-driven therapeutic discovery 🧠💡. Her membership in global scientific organizations reflects her respected presence in the international research community 🌍🎓.
Publication Top Notes
1. Amelioration of Alzheimer’s disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow
Journal: Nature Biomedical Engineering, 6(1), 76-93 (2022)
Authors: C. Xie, X.X. Zhuang, Z. Niu, R. Ai, et al.
Citations: 233
Summary: This landmark study combines machine learning with cross-species screening to identify mitophagy inducers capable of ameliorating Alzheimer’s pathology. The integrative strategy showcases how AI-driven discovery can reveal therapeutic pathways in neurodegeneration.
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2. A meta-analysis of randomized trials assessing the effects of probiotic preparations on oral candidiasis in the elderly
Journal: Archives of Oral Biology, 83, 187-192 (2017)
Authors: R. Ai, J. Wei, D. Ma, et al.
Citations: 38
Summary: This meta-analysis reviews the efficacy of probiotics in treating oral candidiasis among the elderly, suggesting promising adjunctive roles for microbiome modulation in oral health.
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3. Role of miR‑155 in immune regulation and its relevance in oral lichen planus
Journal: Experimental and Therapeutic Medicine, 17(1), 575-586 (2019)
Authors: Y. Tao, R. Ai, Y. Hao, et al.
Citations: 36
Summary: Investigates how miR-155 modulates immune function and its implications in oral lichen planus, opening avenues for targeted RNA-based therapies.
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4. Microenvironmental regulation of the progression of oral potentially malignant disorders towards malignancy
Journal: Oncotarget, 8(46), 81617 (2017)
Authors: R. Ai, Y. Tao, Y. Hao, et al.
Citations: 31
Summary: Analyzes the tumor microenvironment’s influence on the transition from benign to malignant oral lesions, identifying key cellular and molecular pathways.
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5. C. elegans as an Animal Model to Study the Intersection of DNA Repair, Aging and Neurodegeneration
Journal: Frontiers in Aging, 3, 916118 (2022)
Authors: F.J. Naranjo-Galindo, R. Ai, E.F. Fang, et al.
Citations: 22
Summary: Discusses C. elegans as a model organism for understanding DNA repair mechanisms and their links to aging and neurodegeneration.
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6. Effects of antibiotics versus repeated applications of photodynamic therapy as an adjunctive treatment for periodontitis: a systematic review and meta-analysis
Journal: Photobiomodulation, Photomedicine, and Laser Surgery, 39(3), 211-220 (2021)
Authors: R. Ai, M. Nie, J. Yang, D. Deng
Citations: 18
Summary: Compares antibiotic therapy and photodynamic therapy in managing periodontitis, advocating for safer, light-based alternatives.
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7. A synergized machine learning plus cross-species wet-lab validation approach identifies neuronal mitophagy inducers inhibiting Alzheimer disease
Journal: Autophagy, 18(4), 939-941 (2022)
Authors: R. Ai, X.X. Zhuang, A. Anisimov, et al.
Citations: 12
Summary: Uses a hybrid AI and lab model pipeline to find compounds that promote neuronal mitophagy and mitigate Alzheimer’s symptoms.
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8. Integrating AI in fighting advancing Alzheimer: Diagnosis, prevention, treatment, monitoring, mechanisms, and clinical trials
Journal: Current Opinion in Structural Biology, 87, 102857 (2024)
Authors: F. Angelucci, A.R. Ai, et al.
Citations: 9
Summary: Reviews how artificial intelligence supports Alzheimer’s care, from diagnostics to treatment trials.
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9. Safe and Durable Treatment of Dentin Hypersensitivity via Nourishing and Remineralizing Dentin Based on β‐Chitooligosaccharide Graft Derivative
Journal: Small, 19(41), 2300359 (2023)
Authors: B. Li, J. Xu, R. Ai, et al.
Citations: 9
Summary: Introduces a novel β-chitooligosaccharide-based material that strengthens dentin and alleviates hypersensitivity.
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10. Ageing and Alzheimer’s Disease: Application of Artificial Intelligence in Mechanistic Studies, Diagnosis, and Drug Development
Journal: Artificial Intelligence in Medicine (2021)
Authors: A.R. Jin Xurui, Tang Bowen, Yang Guang, Niu Zhangming, Evandro Fei Fang
Citations: 8
Summary: Examines how AI accelerates research in aging and Alzheimer’s, especially for mechanistic insight and drug design.
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11. Identification of mitophagy‐associated proteins profile as potential plasma biomarkers of idiopathic Parkinson’s disease
Journal: CNS Neuroscience & Therapeutics, 30(4), e14532 (2024)
Authors: S. Qian, H. He, X. Xiong, R. Ai, et al.
Citations: 7
Summary: Identifies protein biomarkers associated with mitophagy in Parkinson’s patients, supporting blood-based diagnostics.
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Conclusion
Dr. Ruixue Ai embodies the spirit of a top-tier researcher—combining deep domain knowledge with technological innovation. Her impactful research, international collaborations, and thought leadership in aging and neurodegenerative diseases make her an outstanding candidate for the Best Researcher Award.