COTE Research Group
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RESEARCH 

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Cardiovascular diseases, such as myocardial infarction, atherosclerosis, and heart failure, along with musculoskeletal disorders, including osteoarthritis and osteoporosis, significantly impact individuals and society. Due to the limited regenerative capacity of cardiac and osteochondral tissues, current clinical treatments often fail to halt disease progression.

The COTE group leverages recent advances in biomedical science and integrates various technologies to understand the pathological mechanisms of these diseases. Our mission is to develop innovative strategies for early diagnosis and revolutionary therapeutics.
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Led by Principal Investigator Steven Cui, our team includes bioengineers, cell biologists, clinicians, material scientists, and mathematicians. Together, we have conducted several preclinical trials in both small and large animal models, developed predictive models for disease diagnosis, and are optimistic about advancing these findings into clinical applications in the near future.
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Our Research Interests

  • Cardiac and Osteochondral Tissue Repair
  •  Biofabrication
  • Bioinformatics and Diagnosis
  • Machine Learning in Healthcare
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We utilize both cellular and acellular strategies for tissue repair. By developing novel biomaterials, nanoparticles, and extracellular vesicles, combing stem or stromal cells, we have successfully regenerated infarcted cardiac and osteochondral tissue and slowed diseases such as HF and OA progression.​ 
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We developed a thermally sensitive microgel system designed for delivering cardiac stromal cells for myocardial infarction treatment.
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Using light-sensitive materials, we developed a minimally invasive approach to deliver extracellular vesicles for cardiac tissue repair.
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Combining smart biomaterials and a microneedle patch, we developed a responsive delivery system for tissue repair.
By combining 3D bioprinting and bioassembly techniques, we can fabricate cardiac and osteochondral tissues that are suitable for transplantation or can serve as platforms for drug screening.
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3D-printed cartilage tissue using silk-based bioink, featuring enhanced printing resolution and improved tissue maturation. 
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We developed new strategies for 3D printing single-atom catalysts, which can be utilized in tissue repair to reduce ROS and sequential cellular death.
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3D bioassembly for hybrid biofabrication of osteochondral constructs offers potential as a disease model for drug screening and can also be utilized in tissue repair.
Utilizing bioinformatics, we have the capacity to achieve precision medicine by gaining a deeper understanding of the pathological mechanisms of diseases and drug performance. Additionally, we are focused on developing advanced diagnostic tool for POCT purpose.
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Leveraging bioinformatics to uncover the mechanisms of therapeutics and to interpret changes in cellular behaviors. 
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Conducting molecular docking analysis and studying its subsequent impact on gene expression to gain a better understanding of drug performance.
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Diagnostic microneedle patch for minimally invasive testing, designed for easy point-of-care testing (POCT) in various scenarios.
​AI has transformed our ability to understand complex diseases by enabling the development of advanced analytical tools and predictive models. These tools provide deeper insights into disease mechanisms and enhance early diagnosis. By integrating AI with medical knowledge, we can improve detection and tailor treatments more effectively.
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Using machine learning to replace conventional bioinformatics analysis methods, providing more detailed and insightful information on gene expression.
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Leveraging clinical data and integrating machine learning techniques, we have developed various disease prediction models. Additionally, we utilize SHAP (SHapley Additive exPlanations) to interpret the clinical significance of these models.
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We are utilizing AI for advanced image analysis, enabling more precise interpretation of medical images. In addition, we are developing an automated recognition program specifically designed for diagnostic purposes. This program aims to enhance accuracy and efficiency in identifying and diagnosing various medical conditions.  
Address:
RB605, The Chinese University of Hong Kong, Shenzhen 
No.2001 Longxiang Ave, Longgang District 
Shenzhen, Guangdong, China, 518172
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  • Home
  • RESEARCH
  • TEAM
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  • CONTACT
  • COTE lab member