Latest AI and machine learning research in pathology for healthcare professionals.
PURPOSE: To demonstrate the utility of a robotic needle-guidance template device as compared to a ma...
Benign prostatic hyperplasia (BPH) is the most common pathology afflicting ageing men. The gold stan...
Intraoperative injury of the obturator nerve may occur in gynecologic oncologic procedures when exte...
This work is directed toward the development of a computer-aided diagnosis (CAD) system to detect ab...
Magnetic resonance imaging (MRI), particularly dynamic contrast enhanced (DCE) imaging, has shown gr...
Tissue texture is known to exhibit a heterogeneous or non-stationary nature; therefore using a singl...
Automated cell segmentation for microscopy cell images has recently become an initial step for furth...
Background: Cognitive resilience (CR) in Alzheimers disease (AD) refers to preserved cognitive funct...
Transcriptional regulatory elements (TREs) orchestrate gene expression programs fundamental to cellu...
Longitudinal circulating tumor DNA (ctDNA) measurements offer a noninvasive means to monitor treatme...
Illegal logging and timber trade continue to pose significant challenges in the Philippines, where a...
Aligning text-to-image flow matching models with human preferences via direct reward backpropagation...
Online task-free continual learning (TFCL) requires intelligent agents to sequentially accumulate kn...
\textit{Tissue graph counterfactuals} ask how a cell's expression would change under altered spatial...
Deep learning has become prevalent in computational pathology pipelines that support tasks such as c...
Large language models embedded in autonomous agents process trusted instructions and untrusted data ...
Light microscopy of tissue sections stained with hematoxylin and eosin (H&E) has been the foundation...
Clear cell renal cell carcinoma (ccRCC) exhibits pronounced heterogeneity across WHO histological gr...
Diffusion transformers (DiTs) equipped with multimodal attention (MM-Attn) have become a dominant pa...
Computational pathology requires visual representations that transfer across diverse clinical endpoi...
Synthetic histopathology image generation addresses critical challenges in computational pathology, ...