Pathology

AI In Leukemia Diagnostics: Complementing the Pathologist's Role.

Artificial intelligence (AI) is reshaping every stage of leukemia diagnostics, from digital morphology and multiparameter flow cytometry to next-generation sequencing, multi-omics analysis, and emerging computational frontiers such as quantum-inspired feature selection. This review outlines how contemporary AI tools can automate labor-intensive quantitation, flag diagnostically salient patterns, a...

Identification of PRKCB, NLRC4, and TNFSF10 as Key Regulators of the Lipid Metabolism-Autophagy Network in Atherosclerosis.

BACKGROUND: The occurrence and development of atherosclerosis (AS) are closely related to disorders of lipid metabolism and dysfunction of autophagy. However, the key regulatory genes and immune microenvironment characteristics require further exploration. METHODS: This study integrated the bulk transcriptome and single-cell RNA sequencing data, and utilized bioinformatics methods to screen the di...

Global Roll-Out and Continued Multi-Site Validation of the Artificial Intelligence Histology Instrument for Qualitative Assessment of Histopathology in Ulcerative Colitis.

BACKGROUND: Histological assessment of mucosal biopsies in patients with ulcerative colitis (UC) can determine the activity and extent of disease and ...

Integrative multi-omics and machine learning reveal PLAUR as a Pan-Cancer prognostic biomarker and potential therapeutic target.

Tumor heterogeneity remains a major barrier to effective cancer therapy, driving the need for novel biomarkers and targeted strategies. A bibliometric...

AI-Powered Deep Visual Proteomics Reveals Critical Molecular Transitions in Pancreatic Cancer Precursors.

UNLABELLED: Pancreatic ductal adenocarcinoma (PDAC) evolves through precursors, yet the protein programs governing early progression remain poorly def...

Spatially Resolved Proteomic Cartography Illuminates the Earliest Molecular Programs in Pancreatic Cancer Evolution.

Min, Schweizer, and colleagues use artificial intelligence-powered deep visual proteomics to generate a spatial proteomic atlas of pancreatic cancer p...

The Development Path of Gynecological Cytology after Papanicolaou: from Bethesda to Artificial Intelligence and Personalized Medicine.

BACKGROUND: Cervical cancer is the fourth most common cancer whose incidence was significantly reduced with the help of Pap smear and organized cervic...

Artificial Intelligence for Discovery in Life Sciences.

Artificial intelligence is becoming a transformative tool in life sciences, not just by improving the results of existing technologies but also by int...

Development and validation of the AI-predictive ParaScout In-Vitro Diagnostic (IVD) system for the microscopic detection of gastro-intestinal helminths in stool.

AbstractThe comprehensive method to detect gastrointestinal infections is still microscopic examination of stool specimens. However, manual microscopi...

A salivary protein panel for detecting malignant transformation of oral leukoplakia.

Oral leukoplakia (OLK) is the most common oral potentially malignant disorder and carries a lifetime risk of transformation to oral squamous cell carc...

AI-driven therapeutic antisense oligonucleotide for processing-deficient progeroid laminopathies.

BACKGROUND: Progeroid laminopathies (PLs), including Hutchinson-Gilford progeria syndrome (HGPS), are rare premature aging disorders in which cardiova...

TCEP Induces Liver Injury Through Suppression of the PI3K/AKT Axis: Integrated Evidence from Epidemiology, Network Toxicology, and In Vivo Validation.

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 in skin disease therapeutics: from drug discovery to personalized treatment pathways.

Artificial intelligence (AI) comprises computational methods capable of tasks associated with human cognition, and includes specialized subfields such...

Application of a deep learning method based on CBCT panoramic reconstruction images for differentiating operationally defined cystic and neoplastic jaw lesions from osteomyelitis: a single-center retrospective study.

This single-center retrospective study developed and internally validated a two-dimensional deep learning model based on cone-beam computed tomography...

A large-scale single-cell atlas reveals the pulmonary immune panorama in adult patients with influenza.

RATIONALE: The host immune determinants that distinguish protective from life-threatening responses to influenza are poorly understood. Identifying dr...

Paired CycleGAN-based virtual staining for 3D X-ray histology of bone-implant systems.

Three-dimensional X-ray histology offers a non-invasive alternative to conventional 2D histology, enabling volumetric imaging of biological tissues wi...

Cryo-EM: the revolution continues.

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 from Eucommia ulmoides attenuates diabetic cardiomyopathy through suppressing the store-operated calcium entry and downregulating the STIM1/Orai1/NFAT3 signaling pathway.

Pinoresinol diglucoside (PDG), an active component derived from Eucommia ulmoides, exhibits therapeutic effects against apoptosis, inflammation, and h...

Real-time intraoperative identification of malignant ovarian tumors using deep learning of clinical gross specimen images.

OBJECTIVE: Ovarian cancer is one of the most common gynecologic malignancies with high mortalities. A proper operation strategy is key to improve pati...

Accurate focal-plane selection is crucial for artificial intelligence assessment of three-dimensional urine cytology specimens for bladder cancer screening and surveillance.

BACKGROUND: Bladder cancer is a common and highly recurrent malignancy requiring lifelong surveillance. Urine cytology serves as a noninvasive triage ...