SIAT Research
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Nov 30, 2023Epileptic Zone Localization by Unsupervised Adaptive Graph ConvolutionFurthermore, the researcher delved into group-level network dynamics, examining network characteristics between classified epileptic and non-epileptic brain areas. A research team led by Prof. ZHAN Yang from the Shenzhen Institute of Advanced Technology (SIAT) of the Chinese Academy of Sciences has recently introduced a novel unsupervised dual-stream model ba... -
Nov 29, 2023Researchers Unveil Reprogrammable Bistable Soft Gripper for Enhanced Human-Machine InteractionIn this work, the researchers analyzed the force-displacement relationship of the frame and the predicted trigger forces. Soft grippers offer advantages in human-machine interactions, yet many grapple with the challenge of low response times. While bistable structures could enhance this characteristic, the performance... -
Nov 29, 2023Molecular Insights into the Blood-Brain Barrier: Advancing Understanding for Neurological ResearchIn this study, researchers employed integrated multi-omics analyses to comprehensively profile the transcriptome, proteome, and chromatin accessibility of adult brain ECs, using abbreviated experim... An international collaboration comprising researchers from the Shenzhen Institute of Advanced Technology (SIAT) at the Chinese Academy of Sciences (CAS), Sun Yat-Sen University, and Stanford Univer... -
Nov 22, 2023Revolutionizing Neuropathology: AI-driven Classification of Diffuse GliomasExperimental 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, 2023Ingenious Yeast Engineering Unveils New Frontiers in Jasmonate BiosynthesisThe 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, 2023Researchers 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, 2023AI-Enhanced Integrated Model Revolutionizes Lymph Node Staging in Gastric Cancer ResearchThe 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, 2023Researchers Develop Novel Moisture Resistant Epoxy-based UOP MaterialsThe 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...