Latest AI and machine learning research in pathology for healthcare professionals.
AbstractThe comprehensive method to detect gastrointestinal infections is still microscopic examination of stool specimens. However, manual microscopic examination is laborious, and its accuracy is highly observer-dependent. Therefore, we have developed a deep-learning approach integrated with a digital microscope scanner to detect gastro-intestinal helminths in digital images, which allows faster...
Oral leukoplakia (OLK) is the most common oral potentially malignant disorder and carries a lifetime risk of transformation to oral squamous cell carcinoma (OSCC) of 0.1% to 9.8%. The aim of the current study is to explore salivary proteomics as a non-invasive approach for detecting the malignant transformation from OLK to OLK-associated OSCC (OLK-OSCC). We performed mass spectrometry-based proteo...
BACKGROUND: Progeroid laminopathies (PLs), including Hutchinson-Gilford progeria syndrome (HGPS), are rare premature aging disorders in which cardiova...
Tris(2-chloroethyl) phosphate (TCEP) is a widely used chlorinated organophosphate flame retardant, but its role in liver injury remains unclear. In th...
Artificial intelligence (AI) comprises computational methods capable of tasks associated with human cognition, and includes specialized subfields such...
OBJECTIVE: Cardiac natural mechanical wave (NMW) propagation speed is a marker of the mechanical properties and pathological state of tissue, and its ...
This single-center retrospective study developed and internally validated a two-dimensional deep learning model based on cone-beam computed tomography...
RATIONALE: The host immune determinants that distinguish protective from life-threatening responses to influenza are poorly understood. Identifying dr...
Three-dimensional X-ray histology offers a non-invasive alternative to conventional 2D histology, enabling volumetric imaging of biological tissues wi...
The near-universal adoption of electron cryo-microscopy (cryo-EM) by structural and cell biologists has led to exponential growth of the field, especi...
Pinoresinol diglucoside (PDG), an active component derived from Eucommia ulmoides, exhibits therapeutic effects against apoptosis, inflammation, and h...
OBJECTIVE: Ovarian cancer is one of the most common gynecologic malignancies with high mortalities. A proper operation strategy is key to improve pati...
BACKGROUND: Bladder cancer is a common and highly recurrent malignancy requiring lifelong surveillance. Urine cytology serves as a noninvasive triage ...
Despite rapid advances in multi-omics technologies, translating candidate biomarkers into clinical practice for bladder cancer remains challenging due...
Accurate and rapid determination of tumor histopathological features and molecular subtypes is critical for breast cancer prognosis and treatment stra...
CaMKIIα is a central regulator of synaptic plasticity and memory, and its pathological overactivation has been strongly linked to neurodegenerative an...
Recent advancements in AI have emerged in the diagnosis of different diseases by enhancing the analysis of various medical imaging. Similarly, the eng...
AI is a medical education tool, yet its potential to foster morphologic reasoning remains underexplored. Histology students often struggle to move bey...
Whereas reproducibility of studies is a prerequisite for trustworthy deep learning (DL) in veterinary histopathology and microscopy, the actual degree...
Supervised deep learning (DL) receives great interest for automated analysis of microscopic images with an increasing body of literature supporting it...