Latest AI and machine learning research in transplantation for healthcare professionals.
Xanthan gum is a widely used industrial polysaccharide employed as a thickening and stabilizing agen...
Ancient Chinese character recognition is a core capability for cultural heritage digitization, yet r...
High-fidelity three-dimensional (3D) reconstruction is essential for robotics and simulation. While ...
Rationale Autonomic dysfunction is a hallmark of sepsis pathophysiology, yet its quantification rema...
Few-Shot Action Recognition (FS-AR) has shown promising results but is often limited by a closed-set...
Counterfactual generation for chest X-rays (CXR) aims to simulate plausible pathological changes whi...
Medical image segmentation commonly relies on U-shaped encoder-decoder architectures such as U-Net, ...
Generalist pathology foundation models (PFMs), pretrained on large-scale multi-organ datasets, have ...
Medical image segmentation commonly relies on U-shaped encoder-decoder architectures such as U-Net, ...
Background: Sepsis remains a leading cause of preventable hospital mortality in England, with NHS En...
Structural recognition between a protein target and a ligand underpins therapeutic innovation, yet c...
Millions of experimental and AI-predicted protein structures are now available, and the biosynthetic...
Although data generation is often straightforward, extracting information from data is more difficul...
Vision Transformers (ViTs) excel in 3D medical segmentation but require massive annotated datasets. ...
Accurate rejection of sensitive or harmful visual content, i.e., harmful image guardrail, is critica...
Large unimodal foundation models for vision and language encode rich semantic structures, yet aligni...
Vision-language models (VLMs) show strong potential for complex diagnostic tasks in medical imaging....
Background: Kidney volumetry derived from CT has been proposed as a surrogate of renal function in l...
A clinically actionable Cardiac Digital Twin (CDT) should reconstruct individualised cardiac anatomy...
Accurate brain tumor diagnosis requires models to not only detect lesions but also generate clinical...
Foundation models increasingly offer potential to support interactive, agentic workflows that assist...