Pathology

Routine biomarkers map response probability in HER2-positive breast cancer treated with neoadjuvant chemotherapy and dual HER2 blockade.

BACKGROUND: Pathologic complete response (pCR) after neoadjuvant chemotherapy and dual HER2 blockade is associated with improved outcomes in HER2-positive breast cancer, but treatment response remains heterogeneous. We aimed to develop and externally validate an interpretable model based on routine clinicopathological biomarkers to predict pCR and identify clinically meaningful response states. ME...

Radiomics-Based AI for the Diagnosis and Prognosis of Vessels Encapsulating Tumor Clusters in Hepatocellular Carcinoma: Systematic Review and Meta-Analysis.

BACKGROUND: Vessels encapsulating tumor clusters (VETCs), a CD34-positive vascular pattern in hepatocellular carcinoma (HCC), are linked to aggressive biology, early recurrence, and poor survival. Because pathologic VETC assessment requires postoperative immunohistochemistry and may be affected by sampling, preoperative noninvasive prediction remains clinically important. Radiomics-based artificia...

Diagnostic challenges in re-emerging rickettsioses: why current tools fall short.

SUMMARYRickettsial diseases, encompassing scrub typhus, spotted fever group rickettsioses, and typhus group rickettsioses, represent a significant and...

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

MOTIVATION: Spatial transcriptomics (ST) enables the precise mapping of gene expression within tissue architecture, however its application is often l...

Single-cell and machine learning-based neural regulation signature for prognosis prediction and immunotherapy response in lung adenocarcinoma.

OBJECTIVE: Lung adenocarcinoma (LUAD) molecular heterogeneity limits traditional prognostic models. Given the emerging role of neural regulation (NR) ...

Deep Learning for Differentiating Pulmonary Metastasis from Primary Lung Cancer Constructed on Frozen Sections for Intraoperative Diagnosis.

The surgical procedures for primary lung cancer and metastatic lung tumors differ. An intraoperative diagnosis is important for surgical procedure dec...

Multiview Laryngoscopic Image Fusion for Patient-Level Stratification of Vocal Fold Lesions.

Malignant or high-grade vocal fold disease is usually judged across repeated laryngoscopic views at different observation distances and fields of view...

Geometric-structural multi-label learning for non-invasive prediction of breast cancer biomarkers.

Accurate profiling of molecular biomarkers, including ER, PR, HER2, and Ki-67, is pivotal for tailoring therapeutic strategies in breast cancer manage...

Endomyocardial Gremlin-1 is associated with structural remodeling and adverse clinical outcomes in non-ischemic cardiomyopathy.

BACKGROUND: Risk stratification in non-ischemic cardiomyopathies (NICM) remains challenging despite guideline-based phenotypic classification using mu...

Key molecular mechanisms of mitochondrial metabolic pathways in specific cell subpopulations of pancreatic cancer based on scRNA-seq and bulk RNA-seq.

BACKGROUND: Pancreatic cancer (PC) is a highly malignant tumor with increasing incidence, mortality, and a low five-year survival rate. Mitochondrial ...

Dual-mode analysis of ischemic stroke based on urine SERS spectra and carotid B-ultrasound.

Achieving noninvasive high-frequency monitoring of ischemic stroke (IS) remains a major clinical challenge for timely intervention and precise seconda...

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-gener...

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. ...

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...

SAP18 drives vasculogenic mimicry in esophageal squamous cell carcinoma: a machine learning and multi-omics investigation.

Vasculogenic mimicry (VM), a novel endothelial-independent blood perfusion pathway, is linked to advanced stage and poor prognosis in esophageal squam...

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...