BACKGROUND: Melanoma, a highly aggressive form of skin cancer, is the second most common type of cancer for adolescent and young adult (AYA, ages 15-39 years) patients. AYA patients with melanoma may turn to internet sources, especially artificial in... read more
Glioblastoma (GBM) is the most common malignant intracranial tumor in adults, with a median survival of only 16-20 months. Neoantigen therapy has shown advantages in the treatment of GBM, as it improves the immunosuppressive microenvironment within t... read more
One of the major challenges in natural product discovery is the prioritization of compounds with useful activities from microbial sources. Here, we utilize a machine learning model that predicts the antibacterial activity of a natural product from it... read more
BACKGROUND: Fluorescent microscopy using the DRAQ5 and Eosin probes has been shown in the literature to be capable of producing rapid tissue characterization through synthetic H&E-like pseudoimages, which can be potentially utilized in the clinic. Th... read more
Despite advances in machine learning and medical data processing, handling missing values remains a critical and complex challenge in healthcare analytics. Missing data, especially in non-class attributes can severely compromise model accuracy, clini... read more
We propose a sparse-selective quantization framework for real-time cyber threat detection in large-scale networks, which tackles the dual challenges of computational efficiency and detection accuracy. The proposed method unites sparsity-aware feature... read more
BACKGROUND: Youth e-cigarette use rose sharply between 2013 and 2024 in the United States, prompting widespread prevention campaigns at national, state, and local levels. However, many campaigns encountered online opposition, sometimes leading to mes... read more
Deep research agents are autonomous large language model-based systems capable of iterative web search, retrieval, and synthesis. They are increasingly positioned as the next major leap in medical artificial intelligence. In this viewpoint, we argue ... read more
Hydrogels, possessing biocompatibility and flexibility, are widely used across biomedical and industrial domains, with their concentration serving as a critical determinant of their physicochemical properties. However, conventional methods for concen... read more
Journal of physics. Condensed matter : an Institute of Physics journal
Mar 26, 2026
Understanding the mechanical stability of CO2-CH4heteroclathrate hydrates is essential for assessing reservoir stability during CO2-CH4replacement. However, the coupled effects of mixed guest compositions and intrinsic lattice defects on hydrate mech... read more
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