Pathology

Contextualized Malignantization: Morphometric Signatures of Breast Tissue Transformation and a Clinically Translatable Diagnostic Algorithm.

BACKGROUND: The transformation from benign to malignant breast tissue represents a complex biological continuum rather than a discrete pathological switch. Current diagnostic paradigms rely heavily on binary classification systems that may inadequately capture the nuanced morphometric signatures underlying this transformation process. While machine learning classifiers have demonstrated high class...

Identification of senescence-related genes in diagnosing idiopathic pulmonary fibrosis via integrating bioinformatics analysis and machine learning.

Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive lung disease characterized by persistent alveolar epithelial injury and aberrant tissue remodeling. Increasing evidence suggests that senescence of alveolar epithelial cells (AECs) contributes to impaired epithelial regeneration and maladaptive tissue repair by limiting reparative capacity and promoting profibrotic signaling. However, t...

The Role of Artificial Intelligence Combined With Digital Cholangioscopy for Indeterminant and Malignant Biliary Strictures: A Systematic Review and Meta-analysis.

BACKGROUND: Current endoscopic retrograde cholangiopancreatography (ERCP) and cholangioscopic-based diagnostic sampling for indeterminant biliary stri...

Deep learning-based histologic classifiers enable molecular subtyping of metastatic prostate cancer.

Metastatic prostate cancer is a clinically and molecularly heterogeneous disease. Under the selective pressure of androgen receptor (AR)-directed ther...

A proof-of-concept study of optical tissue sensing during vacuum-assisted breast biopsy procedures.

BACKGROUND: Vacuum-assisted breast biopsy (VABB) enables minimally invasive sampling of breast lesions but provides no real-time information about the...

DeepForgeSeal: Latent Space-Driven Semi-Fragile Watermarking for Deepfake Detection Using Adversarial Reinforcement Learning.

Rapid advances in generative AI have led to increasingly realistic deepfakes, posing growing challenges for law enforcement and public trust. Existing...

The past, present, and future of FRET-guided structural modeling.

Biomolecules' conformational landscapes span multiple timescales and structural populations, challenging traditional structural biology methods that p...

Inflammatory breast cancer: improving research and care through the integration of preclinical evidence and technological advances.

Inflammatory breast cancer (IBC) is a rare and highly aggressive subtype of breast cancer, associated with poor treatment responses and extremely unfa...

Identification of EIF4A1 as a candidate molecular indicator of autism spectrum disorder using integrative bioinformatic and biological methods.

Autism Spectrum Disorder (ASD) is a heterogeneous neurodevelopmental condition with complex genetic and molecular mechanism. Identifying reliable mole...

Intelligent malware detection on Android smartphones via a hybrid approach using gradient boosting and convolutional neural network.

Malware is malicious software that infiltrates systems without user consent. Effective detection involves identifying such software and distinguishing...

Unveiling the power of TIIC: A prognostic tool for esophageal adenocarcinoma.

BACKGROUND: Esophageal adenocarcinoma (EAC) remains a lethal malignancy with limited prognostic tools for guiding immunotherapy. Tumor-infiltrating im...

Non-invasive prediction of dupilumab response in facial atopic dermatitis using early post-treatment reflectance confocal microscopy features.

BACKGROUND: Non-invasive prediction of the efficacy of dupilumab on facial lesions in patients with atopic dermatitis (AD) was unresolved. OBJECTIVE: ...

EBV status prediction in gastric carcinoma biopsy images using multiple bag instance learning and foundation model in multicenter data.

Epstein-Barr virus associated gastric carcinoma (EBVaGC) represents a distinct molecular subtype of gastric cancer with prognostic and therapeutic sig...

Cognitive biases in AI-assisted medical decision making: A structured review as a primer for veterinary and human pathology.

Cognitive biases are systematic patterns of error in human thinking. While artificial intelligence (AI)-based decision support systems offer great pot...

Beyond the flow: the evolving role of magnetic resonance imaging in arteriovenous shunt evaluation.

Although digital subtraction angiography remains the gold standard for the diagnosis and treatment planning of intracranial arteriovenous shunts (AVS)...

Predictive Value of Endoscopy in the Identification of Complete Response After Neoadjuvant Therapy for Rectal Adenocarcinoma.

BACKGROUND: Large-scale evidence on the role of endoscopy alone as the assessment tool to identify complete response after neoadjuvant therapy in loca...

Free-living amoebae predation in nutrient-enriched treated wastewater: ecological potential and machine learning-assisted analysis.

Rapid population growth has intensified pressure on freshwater (FW) resources, significantly impacting agricultural practices and worsening food scarc...

Quantitative magnetic resonance imaging radiomics predicts photoreceptorness status in retinoblastoma.

BACKGROUND: Molecular characteristics of retinoblastoma cannot be assessed before treatment because tumor biopsy is contraindicated. Photoreceptorness...

Deep Learning-Driven Computational Imaging for Noninvasive Monitoring System of Brain Temperature and Metabolism: A Hypothermia Validation for Acute Ischemic Stroke.

Brain temperature (BT) is a critical physiological indicator closely associated with neurological function and disease progression. However, real-time...

Does Maximum Troponin T Value Correlate With Acute Coronary Occlusion Among Patients Treated as NSTEMI?

BACKGROUND: Occlusion myocardial infarction (OMI) is increasingly recognized among NSTEMI patients, yet current diagnostic paradigms may fail to detec...