SIAT Research
  • Sep 28, 2025
    AC-bias Capacitance Imaging Enables Stable, High-Performance Perovskite X-ray Detector
    This study proposes a capacitance signal–based imaging strategy that uses an alternating current (AC) bias to suppress ion migration and eliminate nonlinear responses. X-rays are widely used in medical diagnostics, security screening, and industrial non-destructive testing for their ability to penetrate materials and reveal internal structures.Metal halide perovs...
  • Sep 26, 2025
    Researchers Uncover Novel Mechanisms for Decoding Bacterial Frequency Modulation in Signal Processing
    This framework enables quantitative predictions about how cellular systems convert frequency-encoded signals into precise amplitude outputs across different dynamical regimes. Bacteria employ complex signaling networks for adaptive gene control in changing environments. Bacterial second messenger molecules, such as cyclic AMP (cAMP), relay external environmental signals ...
  • Sep 18, 2025
    Researchers Develop First "Dynamic" Soft Electrode for Brain-Computer Interfaces
    Inspired by earthworms, the study introduces NeuroWorm—a soft, stretchable and movable fibre sensor designed for bioelectronic interface. In brain-computer interfaces (BCIs) and other neural implant systems, electrodes serve as the critical interface and are core sensors linking electronic devices with biological nervous systems. Mos...
  • Sep 12, 2025
    Structural Insights into Acarbose Degradation Guide Next-Gen Antidiabetic Drug Design
    This study provides structural insights that inform the design and development of next-gen antidiabetic drug. Type 2 diabetes mellitus (T2DM), a chronic metabolic disorder marked by hyperglycemia, is rapidly becoming a major global health challenge. Acarbose is a potent glycosidase inhibitor widely used in...
  • Sep 09, 2025
    Targeting "Aged" Immune Cells: A New Strategy to Boost Immunotherapy in Solid Tumors
    This study provides valuable insights into the variability of tumor immune microenvironment across individuals and highlights the potential to enhance antitumor efficacy by targeting immunosenescence. Head and neck squamous cell carcinoma (HNSCC) is a malignant tumor originating from the epithelial cells of the head and neck region. As a neoadjuvant treatment for locally advanced HNSCC, chemoimm...
  • Sep 02, 2025
    An AI-Driven Atomic Force Microscopy Platform for Decoding Human Immune Cell Mechanics
    In this study, an integrated artificial intelligence (AI)-atomic force microscopy (AFM) platform is introduced that enables label-free, mechanophenotyping of macrophages at single-cell resolution. Macrophages drive key immune processes—including inflammation, tissue repair, and tumorigenesis—via distinct polarization states (e.g., M0, M1, M2), whose accurate identification is vital for dia...
  • Aug 18, 2025
    Researchers Develop Multimodal Deep Learning Model to Enhance Precision Radiotherapy Decision-Making
    Researchers developed a deep learning-based multimodal prognostic model that shows strong potential to improve disease-free survival prediction and enable personalized treatment in locally advanced... Cervical cancer is a major public health concern that poses a significant threat to women's health worldwide. While standard concurrent chemoradiotherapy (CCRT) achieves disease-free survival (DFS)...
  • Aug 11, 2025
    Novel Biological Signal-Processing Framework Precisely Decodes Complex Cellular Language
    This study introduces a framework that integrates orthogonal operational amplifiers into standardized biological processes to enable efficient signal decomposition and amplification. Cells naturally process external signals through intricate genetic circuits, enabling adaptation to diverse environments. These circuits rely on complex, nonlinear interactions among genes and prot...