Accurate medical image segmentation demands the integration of multi-scale information,
spanning from local features to global dependencies. However, it is challenging for existing …

In recent years, the diagnosis of gliomas has become increasingly complex. Analysis of
glioma histopathology images using artificial intelligence (AI) offers new opportunities to …

With significant advancements of next generation sequencing technologies, large amounts
of multi-omics data, including genomics, epigenomics, transcriptomics, proteomics, and …

There has been a persistent demand for an innovative modality in real-time histologic
imaging, distinct from the conventional frozen section technique. We developed an artificial …

Abstract As Artificial Intelligence (AI) making advancements in medical decision-making,
there is a growing need to ensure doctors develop appropriate reliance on AI to avoid …

The convergence of digital pathology and artificial intelligence could assist histopathology
image analysis by providing tools for rapid, automated morphological analysis. This …

Simple Summary Technological and scientific innovations, from genetic sequencing to
digital pathology slide scanners, have drastically altered the field of neuropathology. The …

Lanthanum (La)-based nanotherapeutics are therapeutically advantageous due to
cytoplasmic oxygen species (ROS) levels for mediating intrinsic and extrinsic tumor cell …

Glioma is the most common primary tumor of the nervous system. Conventional diagnostic
methods for glioma often involve time-consuming or reliance on externally introduced …

Diabetic retinopathy (DRP) is commonly caused by the complications of diabetes and, if
ignored and untreated, may lead to irreversible blindness in adults. Medical experts mainly …