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...
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 ...
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...
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...
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...
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...
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)...
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...