SIAT Research
  • Nov 22, 2023
    Revolutionizing Neuropathology: AI-driven Classification of Diffuse Gliomas
    Experimental results showed that the proposed model achieves high performance with area under receiver operator curve all above 0.90 in classifying major tumor types, in identifying tumor grades wi... Diffuse gliomas, which account for the majority of malignant brain tumors in adults, comprise astrocytoma, oligodendroglioma, and glioblastoma. Current diagnosis of glioma types requires combining ...
  • Nov 14, 2023
    Ingenious Yeast Engineering Unveils New Frontiers in Jasmonate Biosynthesis
    The study was published in Nature Synthesis on Nov. 13. A research team led by Prof. LUO Xiaozhou from the Shenzhen Institute of Advanced Technology (SIAT) of the Chinese Academy of Sciences (CAS) and Prof. Jay D. Keasling from the University of Califor...
  • Nov 06, 2023
    Researchers Develop an Efficient Complex-Valued Attention Mixer Architecture for Physics-Informed Color Holographic Reconstruction
    "Our work provides a new solution for the application of computational holographic imaging in biomedical microscopy," said Professor QIN Wenjian, the corresponding author of this paper. Researchers from the Shenzhen Institute of Advanced Technology (SIAT) at the Chinese Academy of Sciences (CAS) and their collaborators have developed an efficient complex-valued attention mixer (EC...
  • Nov 06, 2023
    AI-Enhanced Integrated Model Revolutionizes Lymph Node Staging in Gastric Cancer Research
    The researchers conducted a retrospective study involving 252 patients treated between 2016 and 2019. By employing deep learning models and analyzing preoperative CT images and postoperative whole ... A research team led by Prof. LI Zhicheng from the Shenzhen Institute of Advanced Technology (SIAT) of the Chinese Academy of Sciences (CAS) has developed an artificial intelligence-based model that...
  • Oct 27, 2023
    Researchers Develop Novel Moisture Resistant Epoxy-based UOP Materials
    The results revealed that rigid covalent crosslinking networks suppressed the quenching of triplet excitons while the hydrophobic microenvironment afforded good water/moisture-resistance ability fo... Research team led by Prof. ZHU Pengli from the Shenzhen Institute of Advanced Technology (SIAT) of Chinese Academy of Sciences and Prof. CHI Zhenguo from the Sun Yat-sen University, have provided a...
  • Oct 27, 2023
    Exploring MXene-enhanced Plasmonic Sensing for Ultrasensitive Label-free miRNA Detection
    "Our biosensing technique provides a promising tool for the effective detection of miRNA and could evolve into a platform to detect a wide class of nano-objects, such as many other tumor biomarkers... microRNAs (miRNAs) are small non-coding RNA molecules that play an important role in the development and progression of various types of cancer, which makes it as biomarkers. The detection of miRNA...
  • Oct 25, 2023
    Anisotropic Lattice Induces High-Q Chiroptical Responses in Surface Lattice Resonance Metasurfaces
    "We expect this high-Q and strong chiroptical metasurface will find applications in chiral sensing and wavefront modulations." Dr. LI said. Chirality is an intrinsic property of an object that cannot coincide with its mirror image by translation or rotation. In order to realize strong chiral light-matter interactions, which are usually...
  • Oct 24, 2023
    Advancing High-Temperature Superconductivity in Carbon Materials
    The study was published in Advanced Science on October 10. Researchers, led by Prof. ZHONG Guohua from the Shenzhen Institute of Advanced Technology (SIAT) at the Chinese Academy of Sciences (CAS) have made a significant prediction regarding superconductiv...