Spectral CT data from Photon-Counting CT (PCCT) enables material decomposition. Mechanistic approaches such as Maximum Likelihood Estimation (MLE) are noise sensitive. Deep learning alternatives mitigate this issue, but their accuracy remains limited... read more
Multimodal images contain complementary information that is valuable for deep learning (DL)-based image segmentation. To enable effective multimodal feature learning and fusion for accurate segmentation, multimodal images usually need to be registere... read more
OBJECTIVE: Tumor Treating Fields (TTFields) is an emerging cancer therapy whose efficacy is closely linked to the electric field (EF) intensity delivered to the tumor. However, current computational workflows for simulating the EF and planning treatm... read more
Analytical methods : advancing methods and applications
Feb 5, 2026
Organic fertilizers are vital for sustainable agriculture, but conventional quality assessment methods are often time-consuming and costly. This study developed a rapid analytical framework by synergistically combining Fourier transform infrared spec... read more
European heart journal. Digital health
Feb 5, 2026
AIMS: Valvular heart disease (VHD) can affect more than one in two adults over 65 yet remains underdiagnosed due to the limitations of traditional auscultation. Earlier detection is critical for improving outcomes, but many cases go unrecognized. Thi... read more
Polycystic ovary syndrome (PCOS) represents the leading endocrine problem affecting women of reproductive age, leading to serious complications related to reproduction, metabolism, and psychosocial aspects. Nonetheless, due to the heterogeneous natur... read more
European journal of medicinal chemistry
Feb 5, 2026
A machine learning-guided strategy, which integrated unsupervised structural clustering to identify diverse scaffolds for molecular hybridization followed by synergistic QSAR and molecular docking screening, identified lead compound 7. Guided by this... read more
BACKGROUND: Approximately 3.8 billion people lack access to essential health services, and diagnostic interpretation remains a major bottleneck in remote and resource-constrained settings. Limited access to specialists and the complexity of biomedica... read more
AIM: To synthesize literature on algorithmic bias and transparency in artificial intelligence tools used in nursing education and identify common applications, bias types, transparency challenges and mitigation strategies. BACKGROUND: Artificial inte... read more
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