Pathology

An AI-Driven Multi-Omics Framework Identifies CASP8 as a Clinically Actionable Pyroptosis Biomarker in Bladder Cancer.

Despite rapid advances in multi-omics technologies, translating candidate biomarkers into clinical practice for bladder cancer remains challenging due to the difficulty of linking complex genomic instability to interpretable biological processes. To address this, we developed an AI-driven multi-omics discovery framework integrating single-cell RNA sequencing, multi-cohort transcriptomics, and mach...

Ultrasound-Based AI in Predicting Hormone Receptor Status in Breast Cancer: Is "Digital Biopsy" Possible.

Accurate and rapid determination of tumor histopathological features and molecular subtypes is critical for breast cancer prognosis and treatment strategies. This study evaluates the feasibility of a "digital biopsy" approach that uses machine learning models to predict hormone receptor status from ultrasound radiomic features non-invasively. A retrospective analysis was conducted on 353 breast tu...

Discovery of a novel CaMKⅡα inhibitor by machine learning, molecular docking and molecular dynamics simulation.

CaMKIIα is a central regulator of synaptic plasticity and memory, and its pathological overactivation has been strongly linked to neurodegenerative an...

Emerging Role of AI in Gastroenterology and Hepatology: Revolutionizing Medical Device-Assisted Diagnosis.

Recent advancements in AI have emerged in the diagnosis of different diseases by enhancing the analysis of various medical imaging. Similarly, the eng...

Turning AI hallucinations into scaffolds for morphologic reasoning: A pilot randomized trial of prompt-guided virtual microscopy learning during a focused histology module.

AI is a medical education tool, yet its potential to foster morphologic reasoning remains underexplored. Histology students often struggle to move bey...

Reporting transparency in veterinary pathology deep learning: A systematic review of reproducibility-critical details.

Whereas reproducibility of studies is a prerequisite for trustworthy deep learning (DL) in veterinary histopathology and microscopy, the actual degree...

Data set creation for supervised deep learning-based analysis of microscopic images: Review of important considerations and recommendations.

Supervised deep learning (DL) receives great interest for automated analysis of microscopic images with an increasing body of literature supporting it...

Preoperative CT-based radiomics of suprapancreatic adipose tissue for predicting high-difficulty lymph node dissection in gastric cancer.

PURPOSE: Preoperative assessment of lymph node dissection (LND) difficulty in gastric cancer remains challenging. Conventional clinical indicators are...

Molecular mechanisms of erectile dysfunction in type 1 and type 2 diabetic rats: a multiomics approach.

Erectile dysfunction (ED) is a prevalent complication of both type 1 and type 2 diabetes mellitus (DM), but the shared molecular mechanisms underlying...

Cross-Scale Bioanalytical Integration for Decoding Tumour Regulatory Plasticity in Oncology.

Cancer is characterized by extensive genetic variability, continuous evolutionary change, and intricate interactions with its surrounding microenviron...

Artificial intelligence (AI)-assisted diagnosis of skin diseases: From image classification to dermatology-specific multimodal clinical reasoning.

Artificial intelligence (AI) in dermatology has moved beyond the early paradigm of single-image classification. Dermatological diagnosis is achieved b...

Protocol for a Radial Pulse-Based Vascular Age Index Integrated with Traditional Korean Medicine Pulse Diagnosis.

OBJECTIVES: Vascular aging, a central determinant of cardiovascular risk, is commonly assessed by pulse wave velocity (PWV)-based indices such as caro...

[A machine learning diagnostic model for hereditary hearing loss based on GJB2 and SLC26A4 genes: construction and interpretability analysis].

Objective: To construct a machine learning diagnostic model for hereditary hearing loss based on GJB2 and SLC26A4 genes and perform interpretability a...

Integrative multi-omics and network toxicology reveal candidate molecular targets of deoxynivalenol in melanoma.

Deoxynivalenol (DON) has been reported to exhibit skin toxicity and carcinogenic potential; however, its effects on melanoma remain unclear. We integr...

Evolving techniques to optimize ERCP-based sampling and evaluation of malignant biliary strictures.

Endoscopic retrograde cholangiopancreatography (ERCP)-based tissue acquisition is the cornerstone for assessment of suspected malignant biliary strict...

Predicting 1-Year Renal Outcomes in Patients with Diabetic Kidney Disease in CKD Stages 3 to 4: A Multimodal Machine Learning Approach Fusing Clinical Composites and Pathology Images.

Patients with diabetic kidney disease (DKD) at chronic kidney disease (CKD) stages 3 to 4 are at high risk for rapid renal function decline within 1 y...

If AI writes the paper, who validates the plankton?: a call to reinvest in empirical expertise before the validation gap becomes irreversible.

Artificial intelligence is already reshaping the production of scientific text, literature synthesis, coding and image-based biological analysis. In p...

Fix or freeze? Spectral differences arising from tissue preparation in chemical imaging.

Spectrochemical imaging has emerged as a powerful, label-free modality for visualizing the biochemical composition of tissues based on intrinsic vibra...

Assessment of Papillary Thyroid Carcinoma by Profiling Multiple Matrix Metalloproteinase Activities Using a Machine Learning-Assisted Peptide Microarray Sensing Platform.

Although significant progress has been achieved in diagnosing papillary thyroid carcinoma (PTC), it remains a challenge to diagnose thyroid nodules (T...

Comparative study of radiomics features between ASL and DSC perfusion-weighted imaging in distinguishing radiation-induced brain injury from glioma recurrence.

OBJECTIVE: To compare the radiomics features of pseudocontinuous arterial spin labeling (ASL) and dynamic susceptibility contrast (DSC) perfusion-weig...