Prof. Dr. Yong Shen | Research Methods in Medical Lab Science | Best Medical Scientist Award

Professor Doctor | University of Science and Technology of China | China

Dr. Yong Shen is a leading neuroscientist internationally recognized for his extensive contributions to the molecular, cellular, and translational research of neurodegenerative diseases, particularly Alzheimer’s disease. His work spans over three decades, covering the discovery of serotonin receptor subtypes, fundamental elucidation of neuroimmune and inflammatory mechanisms in neuronal injury, and pioneering studies on amyloid precursor protein processing, β-secretase (BACE1) biology, and tau-related pathology. He has played a central role in advancing biomarker science by developing and validating cerebrospinal fluid, plasma, and imaging biomarkers for early detection and progression monitoring of Alzheimer’s disease, Parkinson’s disease, and vascular cognitive impairment. Dr. Shen has led major research programs on brain aging, neural circuit degeneration, endothelial dysfunction, and glial senescence, contributing critical insights into small vessel disease, blood–brain barrier breakdown, and neurovascular injury. His laboratory has been at the forefront of therapeutic discovery, evaluating small molecules, antibody-based interventions, natural compounds, and neuromodulatory targets, while also directing large multicenter initiatives such as the China Aging and Neurodegenerative Initiative (CANDI), which integrates machine learning, blood-based biomarkers, and multimodal diagnostics. His prolific publication record includes high-impact findings in Nature Medicine, Neuron, PNAS, Circulation Research, and other leading journals, shaping contemporary understanding of Alzheimer’s disease mechanisms. Dr. Shen’s long-standing leadership includes founding major research centers, establishing brain and biospecimen banks, mentoring numerous doctoral and postdoctoral researchers, and serving on major scientific review panels across NIH, NSF, European, Japanese, and Chinese funding agencies. His contributions continue to influence global strategies in biomarker discovery, disease modeling, and precision intervention in neurodegeneration.

Profile: ORCID

Featured Publications

1. Yang, L.-B., Yan, R., Citron, M., Xia, W.-M., Yang, X.-L., Wong, P., Price, D., Li, R., & Shen, Y. (2003). Elevated β-secretase expression and enzymatic activity detected in sporadic Alzheimer’s disease brains. Nature Medicine, 9(1), 3–4.

2. Yang, P., Staufenbiel, M., Li, R., & Shen, Y. (2007). Deletion of TNFR death receptor inhibits amyloid protein production and prevents learning and memory deficits in Alzheimer’s transgenic mice. Journal of Cell Biology, 178(5), 829–841.

3. Zhou, H., Gao, F., Yang, X., Lin, T., Li, Z., Wang, Q., Yao, Y., Li, L., Ding, X., Shi, K., Liu, Q., Bao, H., Long, Z., Wu, Z., Vassar, R., Cheng, X., Li, R., & Shen, Y. (2022). β-secretase-1–mediated occludin cleavage leads to cerebral small vessel injury via tight-junction degradation and endothelial dysfunction. Circulation Research, 130(9), 1321–1341.

4. Bi, D., Bao, H., Yang, X., Yang, X.-X., Wu, Z.-J., Wang, D.-X., Xu, G.-W., Liu, X.-M., Liu, J.-C., Wen, L., Jing, Y.-Y., Long, Z.-Y., Huang, G.-M., Wang, X.-Q., Gao, F., & Shen, Y. (2025). BACE1-dependent cleavage of GABAA receptor decreases inhibitory currents and increases neural hyperexcitability in Alzheimer’s disease. Neuron, 113(7), 1051–1064.e6.

5. Gao, F., Dai, L. B., Wang, Q., Liu, C., Deng, K., Cheng, Z., Lv, X., Wu, Y., Zhang, Z., Tao, Q., Yuan, J., Li, S., Wang, Y., Su, Y., Cheng, X., Ni, J., Wu, Z., Zhang, S., Shi, J., & Shen, Y. (2023). Blood-based biomarkers for Alzheimer’s disease: A multicenter-based longitudinal study in China. Science Bulletin, 68(16), 1800–1808.

Assoc. Prof. Dr. Fatemeh Rezaei | Spectrophotometry | Editorial Board Member

Associate Professor | K. N. Toosi University of Technology | Iran

Dr. Fatemeh Rezaei is a research-driven physicist whose work spans laser–plasma interaction, spectroscopic diagnostics, biophotonics, and advanced photonic applications, contributing significantly to 38 scientific documents with 540 citations and an h-index of 11. Her research integrates experimental laser systems, numerical plasma simulations, nanoparticle-assisted photothermal and photodynamic cancer therapy, and machine-learning-enhanced spectroscopic analysis. She has advanced the understanding of optically thick laser-induced plasmas through refined models of ablation dynamics, plasma expansion, radiation transport, and self-absorption correction, producing widely referenced methods in LIBS-based quantitative analysis. Her studies on plasma emission modeling, shadowgraphy-assisted diagnostics, and temporally and spatially resolved spectroscopy have deepened insights into plasma temperature estimation, species behavior under various ambient conditions, and the influence of noble gases on emission profiles. Dr. Rezaei has also contributed to multidisciplinary biomedical photonics through simulations and experimental investigations of laser-nanoparticle cancer therapy, integration of microwave–laser modalities, and development of theranostic nanocomposites for targeted treatment and imaging. Her work further encompasses laser Doppler vibrometry, acoustic tweezing simulations, nanofluid thermal characterization, and deep-learning-based spectral interpretation for material classification and concentration prediction. She has authored influential review papers, contributed book chapters on plasma spectroscopy and thermal conductivity methods, and participated in international conferences focused on plasma science and photonic technologies. Collectively, her research strengthens both the theoretical foundations and applied innovations in laser spectroscopy, photonics-based diagnostics, and computational–experimental plasma physics, making notable contributions to scientific progress in these interconnected domains.

Featured Publications

Rezaei, F., & Tavassoli, S. H. (2020). A review of the current analytical approaches for evaluating, compensating, and exploiting self-absorption in Laser Induced Breakdown Spectroscopy. Spectrochimica Acta Part B: Atomic Spectroscopy, 169, 105878.
Rezaei, F., & Tavassoli, S. H. (2013). Developing the model of laser ablation by considering the interplay between emission and expansion of aluminum plasma. Physics of Plasmas, 20, 013301.
Ashkbar, A., Rezaei, F., Attari, F., & Ashkevarian, S. (2020). Treatment of breast cancer in vivo by dual photodynamic and photothermal approaches with curcumin and magnetic nanoparticles. Scientific Reports, 10(1).
Kabiri, S., & Rezaei, F. (2022). Liver cancer treatment using combined laser emission and microwave irradiation with gold nanoparticles. Scientific Reports, 12, 9271.
Khalilian, P., Rezaei, F., Darkhal, N., Karimi, P., Safi, A., Palleschi, V., Melikechi, N., & Tavassoli, S. H. (2024). Jewelry rock discrimination using LIBS and convolutional LSTM deep learning. Scientific Reports, 2024.

Yong Shen | Research Methods in Medical Lab Science | Best Medical Scientist Award

Prof. Dr. Yong Shen | Research Methods in Medical Lab Science | Best Medical Scientist Award

Featured Publications

Fatemeh Rezaei | Spectrophotometry | Editorial Board Member

Assoc. Prof. Dr. Fatemeh Rezaei | Spectrophotometry | Editorial Board Member

Featured Publications

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