Pathology

Application of hiPSCs for tissue modeling and therapy: are we on track?

Stem cells are key for development of disease modeling and therapies. While promising, however, current application of cutting-edge hiPSC technologies is, among others, confounded by cellular heterogeneity leading to concerns about their suitability for experimental and clinical applications. Variations across donors, tissue sources, methodologies, and analytical challenges, together contribute to...

Artificial intelligence in cancer diagnostics: a primer for clinicians and scientists.

Artificial Intelligence (AI) is rapidly transforming cancer care by enabling healthcare teams to make more accurate diagnoses, predict responses to therapy, improve outcomes, and deliver truly personalized treatment. As AI-based tools become increasingly embedded in diagnostic workflows and clinical decision-making, it is essential to understand their potential and limitations to ensure safe and e...

Pancreatic cancer.

Pancreatic ductal adenocarcinoma remains one of the deadliest malignancies, characterized by late diagnosis, aggressive biology and limited therapeuti...

Physics-informed neural networks for predicting laser-tissue interaction in maxillofacial reconstruction surgery.

This study employs Physics-Informed Neural Networks (PINNs) to simulate the thermal dynamics of biological tissue under laser irradiation by embedding...

Integrated multi-omics and single-cell analyses identify metabolic heterogeneity and therapeutic vulnerabilities in medullary thyroid cancer.

BACKGROUND: Medullary thyroid cancer (MTC) is a heterogeneous and aggressive malignancy with limited therapeutic options. Metabolic reprogramming, a h...

Deep learning for automated diagnosis and differentiation of otitis media on temporal bone CT.

BACKGROUND: The accurate diagnosis of otitis media (OM) has long been a challenge for clinicians (especially for less experienced clinicians) due to t...

Machine learning the order-disorder Jahn-Teller transition in LaMnO3.

We investigate the Jahn-Teller structural phase transition in LaMnO3 at TJT ≃ 750 K using molecular dynamics simulations based on machine-learning for...

Identification of a mitochondrial biomarker signature linking neuroinflammation to neuronal dysfunction in spinal cord injury.

To address the lack of reliable biomarkers for mitochondrial dysfunction that drives secondary injury in spinal cord injury (SCI), this study aimed to...

Multi-omics data mining combined with experimental validation reveals ferroptosis- and autophagy-associated hub genes as diagnostic candidates and immune modulators in atherosclerosis.

BACKGROUND: Atherosclerosis (AS) is a chronic inflammatory vascular disease that can lead to severe cardiovascular events. Ferroptosis and autophagy h...

Single-cell and spatial transcriptomic profiling of POU5F1 in Lung Adenocarcinoma: Dynamics, spatial niche, and prognosis via multi-algorithm ML.

BACKGROUND: POU5F1 (OCT4), a core regulator of pluripotency, plays an important role in tumor stemness and immune microenvironment remodeling, yet its...

The Role of Digital Pathology in Optimizing the Quality and Timeliness of Intraoperative Consultation.

BackgroundIntraoperative consultation using frozen sections has been crucial for guiding surgical decisions, but has often been limited by the time an...

Artificial intelligence in retinoblastoma and uveal melanoma: a narrative review.

INTRODUCTION: Artificial intelligence (AI) is reshaping diagnostic paradigms across oncology. In ophthalmic oncology encompassing conditions like reti...

Histology-defined activated cancer-associated fibroblasts are associated with poor survival in diffuse-type gastric adenocarcinoma.

Activated cancer-associated fibroblasts (aCAFs), characterized by distinct histological features including fibroblast proliferation and extensive desm...

Early volume reduction slope as a novel predictor of long-term outcomes following microwave ablation of benign thyroid nodules: a machine learning-enhanced prediction model.

OBJECTIVE: This study aimed to develop and validate a predictive model incorporating early VRR slope kinetics to predict long-term treatment outcomes....

Evaluating the Potential Impact of AI on Urinary Tract Infection Diagnosis in the Emergency Department Across Demographic Groups: Retrospective Cohort Study.

BACKGROUND: Urinary tract infection (UTI) is a common emergency department (ED) presentation but can be challenging to diagnose; both overdiagnosis an...

Diagnostic Proficiency of Large Language Models in the Interpretation of Cervical Cytopathology.

To evaluate the diagnostic proficiency of well-established multimodal Large Language Models (LLMs)-specifically Gemini, Claude, and Copilot-in interpr...

Machine learning-based information flow analysis of ECG signals for long QT syndrome.

Cardiovascular diseases remain the leading cause of death worldwide, highlighting the need for non-invasive and cost-effective risk assessment tools. ...

High risk score of breast cancer by artificial intelligence (AI) on screening mammograms: a review of negative and cancer cases.

OBJECTIVES: To investigate mammographic features associated with high artificial intelligence (AI) risk scores as provided by two AI models applied to...

Comparative machine learning analysis of wear characteristics in industrial waste-filled epoxy-jute composites.

This study focuses on the fabrication and analysis of hybrid epoxy based composites using jute fiber (JF) and Linz-Donawitz (LD) sludge as reinforceme...

Integrating Theory and Experiment with Graph Neural Networks to Classify Molecular Self-Assembly on Metal Surfaces.

We introduce a graph neural network framework that integrates density functional theory (DFT) calculations and scanning tunneling microscopy experimen...