Pathology

Artificial intelligence-enabled real-time monitoring of intracellular lipid dynamics in microalgae via optical sensors and kinetic early-warning differentiation.

Intracellular lipid droplets synthesized by microalgae are high-value molecules with broad industrial demand, but real-time monitoring of the dynamics of intracellular lipid in bioreactors remains an unresolved challenge. This study presented the first artificial intelligence-enabled sensing system for non-invasive, real-time monitoring and anticipation of intracellular lipid droplet dynamics usin...

Sinomenine alleviates ulcerative colitis by targeting FXR to regulate arachidonic acid metabolism and Th17/Treg homeostasis.

Sinomenine (SIN), a bioactive alkaloid with anti-inflammatory activity, has shown therapeutic potential in ulcerative colitis (UC), but its precise molecular targets remain unclear. This study investigated the key targets and mechanisms underlying SIN-mediated protection in UC. In a dextran sulfate sodium (DSS)-induced colitis mouse model, SIN dose-dependently alleviated colitis symptoms, restored...

IBDome: An integrated molecular, histopathological, and clinical atlas of inflammatory bowel diseases.

BACKGROUND & AIMS: Multi-omic and multimodal datasets with detailed clinical annotations offer significant potential to advance our understanding of i...

Integrating network toxicology, molecular docking and experimental validation reveals potential mechanisms of DEHP in osteoarthritis.

Di(2-ethylhexyl) phthalate (DEHP), a ubiquitous environmental endocrine disruptor, has been implicated in osteoarthritis (OA) pathogenesis, although t...

Quantification of Histotripsy Dosage Using Machine Learning-Enhanced Ultrasound Imaging Analysis: Correlation with Histological Outcomes.

RATIONALE AND OBJECTIVES: Histotripsy is a noninvasive ultrasound therapy that mechanically disrupts target tissue through controlled acoustic cavitat...

A CLIP-based framework for multiclass lung histopathology classification with prompt engineering and class-imbalance-aware focal optimization.

Lung cancer remains one of the leading causes of cancer-related mortality worldwide, and accurate histopathological classification is essential for ti...

Differentiating malignancy from liver parenchyma in Ex-Vivo OCT images using anomaly detection.

Primary liver cancer and colorectal liver metastases (CRLM) pose significant challenges, because of limited early diagnosis and the reliance on time-c...

Bulk and single-cell transcriptomics reveal prognostic signatures of phosphoinositide metabolism in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) is one of the most severe malignant tumors. Phosphoinositides metabolism (PIM) plays an important role in maintaining the n...

Hetairos is a histology-based artificial intelligence model for predicting central nervous system tumor methylation subtypes.

Molecular testing is essential for classifying central nervous system (CNS) tumors, with methylation profiling providing the highest diagnostic granul...

SERPINA3 and NDRG1 are critical diagnostic immune genes associated with macrophages in preeclampsia.

Preeclampsia (PE) is a pregnancy complication involving immune dysregulation. This study aims to identify diagnostic immune biomarkers for PE using ma...

Artificial intelligence-enabled histological analysis in pre-clinical respiratory disease models: a scoping review.

Histological analysis is a cornerstone of pre-clinical respiratory disease research. It enables assessment of pathology, therapeutic effects, and mech...

Multi-scale feature integration with enhanced cytomorph for high-accuracy cervical cytology classification.

Accurate classification of cervical cytology images plays a crucial role in early detection and prevention of cervical cancer, which remains a signifi...

Real-world diagnostic performance of artificial intelligence in skin cancer screening.

BACKGROUND: The use of artificial intelligence (AI) in many aspects of society is expanding rapidly. AI has recently been employed in the National Hea...

Challenges and opportunities of implementing open-source digital pathology in sub-Saharan Africa: Lessons learned from deploying QuPath for breast cancer biomarker assessment in Cameroon.

BACKGROUND: Digital pathology and artificial intelligence (AI) are transforming cancer diagnostics worldwide, yet their implementation in sub-Saharan ...

Efficient colorectal cancer classification from histopathological images utilizing lightweight convolutional neural networks.

As one of the most fatal malignancies worldwide, colorectal cancer demands accurate histopathological image analysis to support timely diagnosis and e...

Deciphering the potential molecular links between ochratoxin A and colorectal cancer: an integrated computational toxicological and single-cell transcriptomic study.

BACKGROUND: Ochratoxin A (OTA), a common foodborne mycotoxin, is classified as a potential human carcinogen. However, the specific molecular mechanism...

Exploring clinical determinants and machine learning-based prediction of disease characteristics in Graves ophthalmopathy.

CLINICAL RELEVANCE: Improved risk stratification in Graves ophthalmopathy (GO) may support earlier recognition of severe disease patterns and more ind...

Developing an Open-Source Framework for the Quantitative Simulation of Blood Flow and Tissue Motion for Ultrafast Doppler Ultrasound.

Ultrafast power Doppler imaging (uPDI) has become a powerful tool for both research and clinical applications. However, existing simulation tools are ...

The combined use of in vivo confocal microscopy and optical coherence tomography in monitoring corneal infections.

BACKGROUND/AIMS: Infectious keratitis (IK) is a major cause of blindness worldwide, requiring prompt diagnosis and management. This study evaluates th...

Deep learning approach for probabilistic pulmonary function estimation from chest X-ray and peak expiratory flow rate.

BACKGROUND: Spirometry remains the gold standard for assessing pulmonary function. Deep learning models have demonstrated potential for estimating mea...