Latest AI and machine learning research in pathology for healthcare professionals.
BACKGROUND: Fat Mass and Obesity-Associated (FTO) is linked to multiple myeloma (MM) progression, but its action mechanisms are poorly understood. METHODS: Machine learning and correlation analysis identified genes with consistent expression patterns as FTO-associated genes. Additionally, the expression levels of FTO and its associated genes in MM tissues were validated through immunohistochemistr...
Glomerular crescent lesions are critical indicators of severe kidney injury and are closely associated with disease progression. However, their automated identification remains challenging due to limited annotated data, class imbalance, and subtle morphological variations. This study proposes a comprehensive deep learning (DL) framework for segmentation and classification of glomerular crescent le...
OBJECTIVE: Triple-negative breast cancer (TNBC) exhibits pronounced intratumoral heterogeneity, and cancer stem cells (CSCs) are thought to play a piv...
BACKGROUND: Osteoarthritis (OA) of the ankle is a disabling and understudied disease, most commonly emerging posttraumatically after ankle fractures (...
Bioprinting continues to redefine the frontiers of regenerative medicine by enabling the fabrication of complex, three-dimensional tissue constructs t...
Mild traumatic brain injury (mTBI) is associated with substantial morbidity worldwide. Emerging evidence demonstrates that both impact- and blast-rela...
BACKGROUND: Hepatocellular carcinoma (HCC) is a critical condition characterized by unchecked cellular growth in the liver, often leading to systemic ...
OBJECTIVE: To evaluate whether autofluorescence spectroscopy (AFS) can reliably distinguish cholesteatoma from surrounding middle-ear tissues, and to ...
Tendinopathy is a musculoskeletal disorder characterized by pathological extracellular matrix remodeling, yet the associated biochemical alterations r...
BACKGROUND: The adult mammalian cerebral cortex has a vertical laminar organization consisting of six neuronal layers, with each layer subserving a sp...
Deep learning-based virtual fiber staining provides a promising complement to routine H&E pathology. However, the reliance on predefined staining styl...
Colorectal cancer (CRC) remains a significant global health challenge due to its high prevalence and mortality rates. Zinc transporter proteins of the...
Virtual staining of unstained tissue for histologic assessment is the subject of burgeoning research and has been approached using various methodologi...
PURPOSE: To develop and temporally validate a predictive framework for molecular adequacy in computed tomography (CT)-guided transthoracic needle biop...
OBJECTIVE: Accurate imaging-based differentiation of benign and malignant parotid tumors is essential for determining appropriate therapy. We investig...
Over the past 25 years, prostatic artery embolization has emerged as a minimally invasive, organ-sparing alternative for managing benign prostatic hyp...
In deaths due to injury, photographs of changes on deceased bodies are routinely taken during the forensic examination; the task of differentiating th...
The incidence of thyroid cancer has risen in recent decades, largely due to the widespread use of increasingly sensitive imaging techniques that have ...
The study of the impact of physical forces and on cells has emerged as a fertile field of investigation. Applications in oncology are especially trans...
Risk stratification across the three main clinical subsets of malignant peripheral nerve sheath tumor (MPNST), neurofibromatosis type I (NF1-related),...