Journal of chemical information and modeling
Mar 10, 2026
The increasing importance and predictive power of modern molecular modeling, driven by physics- and machine-learning-based methods, necessitates a new collaborative architecture to replace the isolated, traditional model of software development. The ... read more
Early detection of hepatocellular carcinoma (HCC) remains a persistent worldwide challenge. Owing to its minimal invasiveness, liquid biopsy has emerged as a promising alternative for early screening. As key components of the tumor microenvironment (... read more
ConspectusTranscytosis, traditionally regarded as biological, constitutes an intrinsic and powerful pathway for macromolecule transport across endothelial and epithelial barriers. The emerging concept of Enhanced Transcytosis and Retention (ETR) is d... read more
Electrides are a class of materials whose highly localized electrons in the lattice interstices exhibit anion-like behavior, known as interstitial quasi-atoms (ISQs). Nonmetallic electrides are promising for extreme-environment optical and sensing ap... read more
Artificial Intelligence of Things (AIoT) enables convenient human health monitoring but consumes massive data and energy. Traditional power supplies and single-sensor setups struggle to reconcile this wireless convenience and multimodal data transmis... read more
Cancer neuroscience is an emerging field at the intersection of oncology, neuroscience, and immunology in which the interactions between cancer cells and neural and immune systems generate extraordinary biological complexity. Thus, artificial intelli... read more
Langmuir : the ACS journal of surfaces and colloids
Mar 10, 2026
Chemical vapor deposited (CVD) ZnS, widely used in infrared windows and conformal radomes for high-speed aircraft, requires accurate characterization of its plastic constitutive behavior to ensure service reliability. However, the complex deformation... read more
IEEE journal of biomedical and health informatics
Mar 10, 2026
LncRNA-disease association (LDA) identification can provide valuable insights for understanding disease pathogenesis. Existing most deep learning-based LDA prediction models remain limitations in effectively fusing various features of lncRNAs and dis... read more
IEEE journal of biomedical and health informatics
Mar 10, 2026
Extracting the fetal electrocardiogram (fECG) from the abdominal electrocardiogram (AECG) will help clinicians accurately discern fetal cardiac rhythm patterns. Nevertheless, the intricacies inherent in the clinical setting often precipitate signal ... read more
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