Xiangu Chen | Biomedical and Healthcare Applications | Best Research Article Award

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Prof. Xianguo Chen | Biomedical and Healthcare Applications | Best Research Article Award

Professor | Zhejiang University School of Medicine | China

Dr. Xianguo Chen is an active researcher in the field of lung cancer biology, molecular oncology, and precision medicine, with a strong focus on exploring genetic alterations, therapeutic resistance mechanisms, and biomarker-driven clinical translation. Affiliated with the Zhejiang University School of Medicine, Dr. Chen has established a robust research portfolio, contributing 16 scientific publications, accumulating 48 citations, and maintaining an h-index of 4, reflecting consistent scholarly impact within a rapidly evolving biomedical landscape.Dr. Chen’s research spans critical areas of lung adenocarcinoma, non-small cell lung cancer (NSCLC), oncogenic signaling pathways, and clinical molecular diagnostics. His work includes multiple contributions as first author, corresponding author, and co-corresponding author, demonstrating scientific leadership and collaboration across multidisciplinary teams. Notable publications include studies on miR-1293–mediated angiogenesis regulation, carbonic anhydrase 4 as a prognostic biomarker, and the identification of novel RET and ALK fusions in NSCLC, each contributing valuable insights into cancer progression, heterogeneity, and precision-targeted therapy.His commitment to translational oncology is further reflected in several research grants. These include major funded projects focused on acacetin-mediated SMYD2 inhibition and DNA damage repair, KMT3C-driven osimertinib resistance via ENO1-regulated glycolysis, and metabolomic discrimination of pulmonary nodules combined with fecal microbiota transplantation strategies. These funded studies highlight his expertise in integrating molecular biology, bioinformatics, and therapeutic research to address pressing clinical challenges in cancer diagnosis and treatment.In addition to his publication record, Dr. Chen engages in collaborative research involving over 130 co-authors, demonstrating broad interdisciplinary partnerships across medical, molecular, and computational sciences. His recent article on machine learning–based immune prognosis modeling for lung adenocarcinoma extends his contributions into the domain of AI-assisted oncology, reinforcing the relevance of computational technologies in modern cancer research.Dr. Chen’s scientific efforts collectively aim to enhance early cancer detection, refine prognostic tools, and illuminate new molecular targets for therapy. Through his funded projects, high-quality publications, and sustained collaborative activity, he continues to contribute significantly to the advancement of global lung cancer research and its transition toward more personalized, mechanism-driven clinical care.

Profiles: Scopus | ResearchGate

Featured Publication

1.Construction and validation of immune prognosis model for lung adenocarcinoma based on machine learning. (2025). Frontiers in Oncology.

Dr. Xianguo Chen research advances precision oncology by uncovering molecular mechanisms that drive lung cancer progression and therapeutic resistance, enabling more accurate diagnostics and targeted treatment strategies.

Sandip Kaledhonka | Biomedical and Healthcare Applications | Research Excellence Award

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Assoc. Prof. Dr. Sandip Kaledhonka | Biomedical and Healthcare Applications | Research Excellence Award

Associate professor | Indian Institute of Technology Bombay | India 

Dr. Sandip Kaledhonka is an accomplished structural biologist whose research focuses on time-resolved cryogenic electron microscopy (cryo-EM), ribosome dynamics, and molecular mechanisms underlying protein synthesis. With 38 published research documents 775 citations, an h-index of 10, and an i10-index of 10, he has established a strong global research presence through high-impact publications and sustained collaborations with leading scientists across structural biology biophysics and molecular microbiology.Dr. Kaledhonkar’s research has significantly advanced the understanding of dynamic events in translation initiation, elongation, termination, and ribosome recycling. His landmark work Late steps in bacterial translation initiation visualized using time-resolved cryo-EM published in Nature revealed critical structural intermediates that define the kinetics of ribosomal assembly. He has also contributed foundational methods including the widely used microfluidic spraying-plunging technique for ultrafast sample preparation enabling real-time visualization of rapid biochemical reactions.A notable aspect of his research is the integration of mixing-spraying microfluidics with high-resolution cryo-EM an approach that has provided unprecedented insights into transient conformations of biological macromolecules. His studies on ribosome subunit association release-factor activation and ribosome recycling published in journals such as Structure and Biophysical Journalhave shaped current understanding of translation control and fidelity. His contributions extend to photobiology with influential work on photoactive yellow protein (PYP) focusing on chromophore isomerization protonation hydrogen bonding networks and signaling kinetics.Beyond ribosome biology Dr. Kaledhonkar has collaborated on impactful multidisciplinary research including bacteriophage characterization microbial biofilm reduction structural components of jumbo phages and mechanisms of innate antimicrobial defense involving AAA-ATPases. His recent works further explore methodological innovations in cryo-EM pose estimation extracellular vesicle isolation and enzyme conformational regulation highlighting his broad scientific influence.He has co-authored publications with leading researchers such as Joachim Frank Ziao Fu Bo Chen Måns Ehrenberg and Robert A. Grassucci underscoring a strong record of international collaboration. With expertise spanning structural dynamics microfluidics and time-resolved structural biology Dr. Kaledhonkar’s research continues to contribute to the global advancement of molecular and biomedical sciences offering foundational knowledge that drives future therapeutic and biotechnological innovations.

Profiles:  Googlescholar | Scopus

Featured Publications

1. Horst, M. A., Stalcup, T. P., Kaledhonkar, S., Kumauchi, M., Hara, M., & Xie, A. (2009). Locked chromophore analogs reveal that photoactive yellow protein regulates biofilm formation in the deep sea bacterium Idiomarina loihiensis. Journal of the American Chemical Society, 131(47), 17443–17451. Cited By : 61

2. Kaledhonkar, S., Fu, Z., White, H., & Frank, J. (2018). Time-resolved cryo-electron microscopy using a microfluidic chip. In Protein Complex Assembly: Methods and Protocols (pp. 59–71). Humana Press. Cited By : 52

3. Kumauchi, M., Kaledhonkar, S., Philip, A. F., Wycoff, J., Hara, M., Li, Y., & Xie, A. (2010). A conserved helical capping hydrogen bond in PAS domains controls signaling kinetics in the superfamily prototype photoactive yellow protein. Journal of the American Chemical Society, 132(44), 15820–15830. Cited By : 12

4. Das, S., & Kaledhonkar, S. (2024). Physiochemical characterization of a potential Klebsiella phage MKP-1 and analysis of its application in reducing biofilm formation. Frontiers in Microbiology, 15, 1397447. Cited By : 3

5. Ghosh, S., Roy, S., Baid, N., Das, U. K., Rakshit, S., Sanghavi, P., Hajra, D., Das, S., … & (include remaining authors if available). (2025). Host AAA-ATPase VCP/p97 lyses ubiquitinated intracellular bacteria as an innate antimicrobial defence. Nature Microbiology, 1–16. Cited By : 2

Dr. Kaledhonkar’s pioneering time-resolved cryo-EM work reveals molecular events in real time, advancing fundamental understanding of translation mechanisms. His innovations in microfluidic methodology continue to transform structural biology and accelerate discoveries in molecular medicine.

Ateke Goshvarpour | Biomedical and Healthcare Applications | Editorial Board Member

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Assist. Prof. Dr. Ateke Goshvarpour | Biomedical and Healthcare Applications | Editorial Board Member

Assistant Professor | Imam Reza International University | Iran

Dr. Ateke Goshvarpour, affiliated with Imam Reza International University, Mashhad, Iran, is a distinguished researcher specializing in biomedical signal processing, cognitive neuroscience, and computational modeling of brain activity. With a prolific research portfolio comprising 70 publications and over 1,095 citations across 727 scholarly documents, Dr. Goshvarpour has established a strong global reputation for her contributions to the understanding and classification of cognitive and mental disorders using advanced signal analysis techniques.Her recent works focus on EEG-based diagnosis of schizophrenia, emotion recognition, and cognitive assessment, integrating concepts from quantum-inspired computation, chaotic dynamics, and neural connectivity analysis. Notable studies such as “Enhancing Schizophrenia Diagnosis through EEG Frequency Waves and Information-Based Neural Connectivity Feature Fusion” and “Quantum-Inspired Feature Extraction Model for Enhanced Schizophrenia Detection” highlight her innovative approach in bridging neuroscience with machine learning and chaos theory. Through the development of spectral–spatiotemporal models and graph-based signal representations, she provides novel pathways for noninvasive brain disorder diagnostics and affective computing.Collaborating with a network of 21 co-authors, Dr. Goshvarpour demonstrates an interdisciplinary outlook, integrating engineering, data science, and psychology to improve diagnostic precision and healthcare outcomes. Her h-index of 20 reflects both the impact and consistency of her research influence. Beyond academia, her work contributes significantly to societal well-being by enabling early and accurate detection of neurological conditions and enhancing emotional intelligence systems.Dr. Goshvarpour’s dedication to advancing the frontier of biomedical and cognitive signal processing underscores her role as a leading figure in computational neuroscience research, fostering a deeper understanding of human cognition through data-driven and bio-inspired intelligence frameworks.

Profiles: ORCID |  Scopus | Google Scholar

Featured Publications

1.Goshvarpour, A. (2025). Enhancing schizophrenia diagnosis through EEG frequency waves and information-based neural connectivity feature fusion. Biomedical Signal Processing and Control.

2.Goshvarpour, A. (2025). Quantum-inspired feature extraction model from EEG frequency waves for enhanced schizophrenia detection. Chaos, Solitons & Fractals. Cited By : 1

3.Goshvarpour, A. (2025). Cognitive-inspired spectral spatiotemporal analysis for emotion recognition utilizing electroencephalography signals. Cognitive Computation. Cited By : 4

4.Goshvarpour, A. (2025). Asymmetric measures of polar Chebyshev chaotic map for discrete/dimensional emotion recognition using PPG. Biomedical Signal Processing and Control. Cited By : 1

5.Goshvarpour, A. (2025). Diagnosis of cognitive and mental disorders: A new approach based on spectral–spatiotemporal analysis and local graph structures of electroencephalogram signals. Brain Sciences. Cited By : 3

Dr. Ateke Goshvarpour’s pioneering research in biomedical signal processing and neurocomputational modeling is transforming the early detection of mental and cognitive disorders. By integrating EEG analytics, chaos theory, and AI-driven methods, her work bridges neuroscience and technology—advancing precision diagnostics, enhancing emotional intelligence systems, and fostering global innovation in digital health and mental well-being.

Alina Diana Zamfir | Biomedical and Healthcare Applications | Best Researcher Award

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Prof. Alina Diana Zamfir | Biomedical and Healthcare Applications | Best Researcher Award

Professor |  National Institute for R&D in Electrochemistry | Romania

Prof. Dr. Alina D. Zamfir is a leading Romanian scientist recognized internationally for her pioneering research in mass spectrometry, glycomics, proteomics, and structural biology. She currently holds dual appointments as Senior Scientific Researcher at the National Institute for Research and Development in Electrochemistry and Condensed Matter Research, Timisoara, and as Professor at Aurel Vlaicu University of Arad, Romania. she has also served as a PhD Supervisor at the Faculty of Physics, West University of Timisoara, mentoring numerous young scientists in advanced analytical methodologies.Prof. Zamfir’s research has made seminal contributions to the development of advanced mass spectrometry platforms, particularly in the integration of microfluidics, ion mobility, and nanoelectrospray systems for glycoproteomics and glycolipidomics. She has been the Principal Investigator of 17 national and international projects, funded by the Romanian UEFISCDI and the European Union, focusing on the structural and functional elucidation of complex biological molecules, including gangliosides and proteoglycans. Her collaborations extend across prestigious institutions such as the University of Münster, University of Konstanz (Germany), and Clarkson University (USA), contributing significantly to global biomedical research.Author of 198 peer-reviewed publications with over 3,018 citations and an h-index of 37, Prof. Zamfir’s work has appeared in high-impact journals including Analytical Chemistry, Electrophoresis, Glycobiology, and the Journal of the American Society for Mass Spectrometry. She has also served as Guest Editor for Molecules and Frontiers in Molecular Biosciences and as President of the Romanian Society for Mass Spectrometry since 2009, promoting the advancement of analytical sciences in Romania and beyond.Through her academic leadership, editorial contributions, and innovative research, Prof. Zamfir has profoundly influenced modern bioanalytical chemistry, driving forward applications in biomarker discovery, neurodegenerative disease research, and precision medicine. Her work bridges fundamental science and societal impact, advancing both Romania’s scientific excellence and the global progress of molecular biosciences.

Profiles: Google Scholar | ResearchGate

Featured Publications

1, Zamfir, A. D. (2007). Recent advances in sheathless interfacing of capillary electrophoresis and electrospray ionization mass spectrometry. Journal of Chromatography A, 1159(1–2), 2–13. Cited By : 117

2. Zamfir, A., Vakhrushev, S., Sterling, A., Niebel, H. J., Allen, M., & Peter-Katalinić, J. (2004). Fully automated chip-based mass spectrometry for complex carbohydrate system analysis. Analytical Chemistry, 76(7), 2046–2054.
Cited By : 94

3. Sarbu, M., Robu, A. C., Ghiulai, R. M., Vukelić, Z., Clemmer, D. E., & Zamfir, A. D. (2016). Electrospray ionization ion mobility mass spectrometry of human brain gangliosides. Analytical Chemistry, 88(10), 5166–5178. Cited By : 81

4. Sisu, E., Flangea, C., Serb, A., & Zamfir, A. D. (2011). Modern developments in mass spectrometry of chondroitin and dermatan sulfate glycosaminoglycans. Amino Acids, 41(2), 235–256. Cited By : 68

5. Zamfir, A. D., Bindila, L., Lion, N., Allen, M., Girault, H. H., & Peter-Katalinić, J. (2005). Chip electrospray mass spectrometry for carbohydrate analysis. Electrophoresis, 26(19), 3650–3673.* Cited By : 66

Ewert Bengtsson | Quantitative Microscopy | Best Researcher Award

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Prof. Ewert Bengtsson | Quantitative Microscopy | Best Researcher Award

Professor Emeritus | Uppsala University | Sweden

Prof. Ewert Bengtsson is a distinguished researcher in computerized image analysis and medical imaging, with current work on AI-based diagnostic tools for cancer detection. He earned his PhD in Physics from Uppsala University, where he developed pioneering methods for computer-aided analysis of microscopic images applied to early cancer screening. His professional experience spans research leadership, including Director of the Centre for Image Analysis, Vice Rector for IT at Uppsala University, and project leadership in both academic and industry settings. He has contributed to numerous international collaborations and led projects in medical imaging and IT-driven healthcare solutions. His research interests include AI-based medical diagnostics, computer vision, image processing, and automated cancer detection systems. He has a strong record of mentorship, guiding over 40 doctoral students, and has contributed to global research communities through program committees, editorial boards, and invited talks. His work has been recognized with fellowships, academy memberships, and distinguished awards for contributions to science, engineering, and medical imaging. He possesses advanced research skills in medical image analysis, AI, machine learning, microscopy, and software development for diagnostic tools. 3,627 citations by 2,993 documents, 137 documents, 31 h-index, view h-index button is disabled in preview mode, further highlight his global impact and recognition.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

  1. Wählby, C., Sintorn, I. M., Erlandsson, F., Borgefors, G., & Bengtsson, E. (2004). Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections. Journal of Microscopy, 215(1), 67–76.

  2. Rodenacker, K., & Bengtsson, E. (2003). A feature set for cytometry on digitized microscopic images. Analytical Cellular Pathology, 25(1), 1–36.

  3. Bengtsson, E., & Malm, P. (2014). Screening for cervical cancer using automated analysis of PAP‐smears. Computational and Mathematical Methods in Medicine, 2014, 842037.

  4. Wählby, C., Lindblad, J., Vondrus, M., Bengtsson, E., & Björkesten, L. (2002). Algorithms for cytoplasm segmentation of fluorescence labelled cells. Analytical Cellular Pathology: The Journal of the European Society for Analytical Cellular Pathology.

  5. Stenkvist, B., Bengtsson, E., Eriksson, O., Holmquist, J., Nordin, B., & others. (1979). Cardiac glycosides and breast cancer. The Lancet, 313(8115), 563.

Neven Saleh | Healthcare Engineering Systems | Women Researcher Award

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Assist. Prof. Dr. Neven Saleh | Healthcare Engineering Systems | Women Researcher Award

Associate Professor | Future University in Egypt | Egypt

Assist. Prof. Dr. Neven Saleh is a highly motivated and detail-oriented researcher with extensive experience in biomedical engineering, machine learning, deep learning for disease diagnosis, healthcare technology, hospital design, and assistive communication systems. She holds a Ph.D. in Biomedical Engineering from Politecnico di Torino and a master’s and bachelor’s degree in biomedical and electronics engineering from Egyptian universities. She has served as an associate professor at multiple institutions, supervised numerous Ph.D. and M.Sc. students, and contributed to international research collaborations across Italy, Egypt, and the USA. Her research interests focus on AI-driven diagnostic systems for retinal and neurological disorders, cancer detection using image processing, healthcare technology assessment, hospital workflow optimization, and assistive technologies for patients with disabilities. She has received multiple awards and honors for her innovative projects, teaching excellence, and scientific contributions, including national competitions, best thesis awards, and international conference recognitions. She possesses strong research skills in machine learning, deep learning, computer vision, biomedical signal processing, medical instrumentation, and healthcare technology management. She is a member of professional organizations such as TWAS-OWSD and IFMBE and has completed advanced certifications in machine learning, clinical engineering, and healthcare quality management. Her research impact is reflected in 277 citations by 204 documents, 41 publications, and an h-index of 9.

Profile: Google Scholar | Scopus | ORCID

Featured Publications

  1. Saleh, N., Sharawi, A. A., Abd Elwahed, M., Petti, A., Puppato, D., & Balestra, G. (2014). Preventive maintenance prioritization index of medical equipment using quality function deployment. IEEE Journal of Biomedical and Health Informatics, 19(3), 1029–1035.

  2. Saleh, N., Abdel Wahed, M., & Salaheldin, A. M. (2022). Transfer learning‐based platform for detecting multi‐classification retinal disorders using optical coherence tomography images. International Journal of Imaging Systems and Technology, 32(3), 740–752.

  3. Saleh, N., Farghaly, M., Elshaaer, E., & Mousa, A. (2020). Smart glove-based gestures recognition system for Arabic sign language. In 2020 International Conference on Innovative Trends in Communication and … (pp. 37–…).

  4. Saleh, N., Hassan, M. A., & Salaheldin, A. M. (2024). Skin cancer classification based on an optimized convolutional neural network and multicriteria decision-making. Scientific Reports, 14(1), 17323.

  5. Salaheldin, A. M., Abdel Wahed, M., Talaat, M., & Saleh, N. (2024). Deep learning‐based automated detection and grading of papilledema from OCT images: A promising approach for improved clinical diagnosis and management. International Journal of Imaging Systems and Technology, 34(4), e23133.

Ipseeta Mohanty Ray | Biomedical | Excellence in Research

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Prof Dr. Ipseeta Mohanty Ray | Biomedical | Excellence in Research

Prof Dr. Ipseeta Mohanty Ray at MGM Medical College & Hospital, India

Profile👨‍🎓

Scopus

Publications

Influence of Types of Media and Modes of Therapeutic Ultrasound on Drug Absorption in Phonophoresis: A Comparative Experimental Study on Rabbits
  • Authors: Sreeraj, S.R., Bellare, B., Ray, I.
    Journal: Research Journal of Pharmacy and Technology
    Year: 2023
Adverse Drug Monitoring in the Psychiatry Outpatient Department in a Tertiary Care Hospital – A Pilot Study
  • Authors: Gandhi, M., Zaveri, H., Ray, I., Gildhiyal, R.
    Journal: Biomedical and Pharmacology Journal
    Year: 2022
Evaluation of Analgesic Activity of Levofloxacin in Human Experimental Pain Model
  • Authors: Shetty, R., Chaudhari, S., Jadhav, P., Ray, I., Deshmukh, Y.
    Journal: Journal of Basic and Clinical Physiology and Pharmacology
    Year: 2015
Assessment of Usage of Antibiotics and Their Pattern of Antibiotic Sensitivity Test Among Childhood Fever
  • Authors: Suman, R.K., Ray, I.M., Mohanty, N.C., Mukhia, R.K., Deshmukh, Y.A.
    Journal: International Journal of Pharmacy and Pharmaceutical Sciences
    Year: 2014

Assoc Prof Dr. Jiuchuan Guo | Biosensor Technology | Best Researcher Award

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Assoc Prof Dr. Jiuchuan Guo | Biosensor Technology | Best Researcher Award

Jiuchuan Guo at University of Electronic Science and Technology of China, China

👨‍🎓 Profiles

Scopus

Google Scholar

Summary

Assoc Prof Dr. Jiuchuan Guo is a dedicated researcher at the University of Electronic Science and Technology of China. His work centers around biosensor technology, with a focus on multi-modal biological microprobe sensing mechanisms and AI-driven biosensor development. He addresses challenges like low-abundance molecule detection, improving sensitivity, and reducing interference in biosensors.

Education

Assoc Prof Dr. Guo completed his education in Information and Communication Engineering, specializing in biosensor technologies.

Professional Experience

With extensive research experience, he has published 13 first-author papers, including highly impactful works in leading journals such as IEEE Trans, Biosensors and Bioelectronics, and Analytical Chemistry. He also holds 6 patents and was awarded the prestigious State Sponsored Postdoctoral Fellowship and the 2023 Science and Technology Progress Award.

🔬 Research Interests

Assoc Prof Dr. Guo’s research spans the development of portable biosensors, functionalized nanoprobes, and AI algorithms to enhance biosensor performance.

Publications

Overview of therapeutic drug monitoring and clinical practice

  • Authors: Zijun Fang, He Zhang, Jiuchuan Guo, Jinhong Guo
  • Journal: Talanta
  • Year: 2024

Minimally invasive electrochemical continuous glucose monitoring sensors: Recent progress and perspective

  • Authors: Yuanyuan Zou, Zhengkang Chu, Jiuchuan Guo, Shan Liu, Xing Ma, Jinhong Guo
  • Journal: Biosensors and Bioelectronics
  • Year: 2023

Organ-on-a-chip: A new tool for in vitro research

  • Authors: Jiasheng Yan, Ziwei Li, Jiuchuan Guo, Shan Liu, Jinhong Guo
  • Journal: Biosensors and Bioelectronics
  • Year: 2022

Integrated electrochemical lateral flow immunoassays (eLFIAs): recent advances

  • Authors: Jie Cheng, Guopan Yang, Jiuchuan Guo, Shan Liu, Jinhong Guo
  • Journal: Analyst
  • Year: 2022

Platelet detection based on improved YOLO_v3

  • Authors: Renting Liu, Chunhui Ren, Miaomiao Fu, Zhengkang Chu, Jiuchuan Guo
  • Journal: Cyborg and Bionic Systems
  • Year: 2022

Assoc Prof Dr. Diangeng Li | Biosensor Technology | Best Researcher Award

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Assoc Prof Dr. Diangeng Li | Biosensor Technology | Best Researcher Award

Diangeng Li at Beijing Chao-Yang Hospital, Capital Medical University, China

👨‍🎓 Profiles

Scopus

Summary

Assoc Prof Dr. Diangeng Li, M.D., is an Associate Professor and Associate Chief Physician at Beijing Chao-Yang Hospital, Capital Medical University. He has extensive expertise in translational medicine, focusing on biosensor technology. As a Visiting Scholar at Jefferson Hospital, Thomas Jefferson University, he has contributed significantly to medical research and innovation.

Education

  • M.D., Medical Degree
  • Visiting Scholar, Jefferson Hospital, Thomas Jefferson University, U.S.A.

Professional Experience

  • Associate Chief Physician
  • Associate Researcher
  • Associate Professor
  • M.S. Tutor

🔬 Research Interests

  • Biosensor technology
  • Translational Medicine

 

Publications

Analysis of m6A-regulated genes and subtype classification in lupus nephritis

  • Authors: Li, D., Li, Y., Zhu, K., Sun, Q., Jin, M.
  • Journal: BMC Nephrology
  • Year: 2024

An EM-Tracked Approach for Calibrating the 3D Pose of Flexible Endoscopes.

  • Authors: Long, Z., Chi, Y., Zhang, X., Li, D., Jiang, Z.
  • Journal: Annals of Biomedical Engineering
  • Year: 2021

An Ultra-miniaturized Inflammation Monitoring Platform Implemented by Long Afterglow Lateral Flow Immunoassay

  • Authors: Guo, J., Zhang, Y., Fu, Y., Guo, J., Li, D.
  • Journal: IEEE Sensors Journal
  • Year: 2024

Research Progress and Prospects of Intelligent Diabetes Monitoring Systems: A Review.

  • Authors: Zou, Y., Chu, Z., Yang, T., Guo, J., Li, D.
  • Journal: IEEE Sensors Journal
  • Year: 2024

Integrative analysis of the association between circadian rhythm and lupus nephritis

  • Authors: Jin, M., Teng, F., Cao, B., Sun, Q., Li, D.
  • Journal: Clinical Kidney Journal
  • Year: 2023

Prof Dr. Jinhong Guo | Biosensor Technology | Best Researcher Award

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Prof Dr. Jinhong Guo | Biosensor Technology | Best Researcher Award

Jinhong Guo at Shanghai Jiao Tong University, China

👨‍🎓 Profiles

Google Scholar

Summary

National Excellent Youth and Chongqing Jieqing Youth of China, with a focus on biosensor technology.

Education

Doctoral Director, Shanghai Jiao Tong University, Chongqing Medical University

Professional Experience

  • Chief of National Key R&D Programs
  • 200+ papers published (Nature Electronics, Angew Chem)
  • 50+ national invention patents, 30+ Class II/III medical device certifications
  • First Prize, Optical Engineering Society of China (2023)

🔬 Research Experience

  • Biosensor technology
  • Medical multimodal sensing & digital healthcare innovation
  • Technology commercialization and standardization of medical devices

 

Publications

Three-dimensional flexible electronics using solidified liquid metal with regulated plasticity

  • Authors: Guoqiang Li, Mingyang Zhang, Sanhu Liu, Man Yuan, Junjie Wu, Mei Yu, Lijun Teng, Zhiwu Xu, Jinhong Guo, Guanglin Li, Zhiyuan Liu, Xing Ma
  • Journal: Nature Electronics
  • Year: 2023

5G-enabled ultra-sensitive fluorescence sensor for proactive prognosis of COVID-19

  • Authors: Jiuchuan Guo, Shuqin Chen, Shulin Tian, Ke Liu, Jian Ni, Ming Zhao, Yuejun Kang, Xing Ma, Jinhong Guo
  • Journal: Biosensors and Bioelectronics
  • Year: 2021

Nanomaterial labels in lateral flow immunoassays for point-of-care-testing

  • Authors: Jiuchuan Guo, Shuqin Chen, Jinhong Guo, Xing Ma
  • Journal: Journal of Materials Science & Technology
  • Year: 2021

Multi-task joint learning model for segmenting and classifying tongue images using a deep neural network

  • Authors: Qiang Xu, Yu Zeng, Wenjun Tang, Wei Peng, Tingwei Xia, Zongrun Li, Fei Teng, Weihong Li, Jinhong Guo
  • Journal: IEEE journal of biomedical and health informatics
  • Year: 2020

Multiplexed detection of biomarkers in lateral-flow immunoassays

  • Authors: Lei Huang, Shulin Tian, Wenhao Zhao, Ke Liu, Xing Ma, Jinhong Guo
  • Journal: Analyst
  • Year: 2020