Pathology

Development of a precise saliva-based epigenetic clock using a six-CpG-marker panel.

Saliva, a frequently encountered biological specimen in forensic investigations, has great potential to provide critical leads if the donor's age can be accurately estimated. This study aimed to develop a precise epigenetic clock for predicting age by identifying the most highly informative CpG sites derived from saliva. Using genome-wide 850K methylation array data from saliva samples of 76 Han C...

Identification and Intelligent Prediction of Microscopic Residual Oil Distribution Based on the TransUNet Neural Network.

The morphological distribution and classification of remaining oil are of great significance to oilfield development. Traditional identification and classification methods are limited by large manual errors, low intelligence, and insufficient precision, and fail to accurately identify microscale remaining oil below 10 μm. This paper proposes a deep learning-based method for remaining oil recogniti...

Upconversion Nanoparticle-Guided Virtual Deformable Mirror for Computational Adaptive Optics in Scattering Fluorescence Microscopy.

Fluorescence microscopy in deep tissue is strongly degraded by optical aberrations, leading to reduced signal-to-noise ratio and spatial resolution. C...

Hierarchical Semantic Concept Modeling for Generalizable Myocardial Pathology Segmentation on Multisequence CMR Images.

Myocardial pathology segmentation (MyoPS) aims to accurately quantify myocardial scar and edema, which is critical for precise assessment of myocardia...

High-throughput machine learning-aided antibody discovery for cell surface antigens.

Machine learning (ML) has the potential to revolutionize antibody design and selection, but its success depends on access to well-curated datasets of ...

Engineering the esophagus: advances, challenges, and translational pathways in esophageal tissue reconstruction.

Esophageal reconstruction is one of the most challenging procedures in gastrointestinal surgery. While conventional therapeutic approaches, such as ga...

AI-Assisted HER2 Scoring in Breast Cancer: Diagnostic Agreement and Understanding Discordance.

PURPOSE: With trastuzumab deruxtecan demonstrating clinical benefit in HER2-low and ultralow breast cancer, precise discrimination at the lowest end o...

Human organ-on-a-chip technology as a catalyst for drug discovery.

The pharmaceutical industry currently faces a critical attrition crisis, with approximately 90% of drug candidates failing during clinical translation...

Integrated bioinformatics, machine learning, and experimental validation identify a four-gene diagnostic signature for cervical cancer associated with PI3K/AKT signaling.

Early and accurate diagnosis remains a major challenge in cervical cancer management. This study aimed to identify reliable diagnostic biomarkers for ...

Identification and validation of BLK and OSBPL10 as diagnostic and prognostic biomarkers for nasopharyngeal carcinoma through machine learning algorithms.

Despite substantial advances in radiotherapy and chemotherapy for nasopharyngeal carcinoma (NPC), a subset of patients still develops metastasis or re...

IVCM-Insight: automated interactive interpretation of in vivo confocal microscopy.

In vivo confocal microscopy (IVCM) is a critical ophthalmic examination that provides in vivo cytological and neurological information essential for d...

Multimodal integration of pathomics and clinical features improves recurrence risk prediction in pediatric medulloblastoma.

BACKGROUND: Accurate prediction of recurrence in pediatric medulloblastoma remains challenging with clinical variables alone. This study evaluated whe...

A Two-Stage, Semi-Supervised Deep Learning Framework for the Detection and Classification of Ambient Pollen using Evanescent Wave Scattering.

Airborne pollen, an aeroallergen, impacts human health, particularly as climate change shifts pollen dynamics, requiring accurate monitoring to suppor...

[Current status and progress of prognostic evaluation in marginal zone lymphoma].

Marginal zone lymphoma (MZL) is an indolent B-cell non-Hodgkin lymphoma with marked heterogeneity. Currently, histological subtype, clinical stage, bi...

Artificial intelligence in cervical cancer screening and triage: a role-stratified systematic review and bivariate meta-analysis.

PURPOSE OF REVIEW: Artificial intelligence (AI) tools for cervical cancer screening have proliferated, but modality-pooled accuracy estimates conflate...

In vivo validation of multimodality pore-network modeling to identify angio-permissive scaffold porosity.

BACKGROUND: Successful vascular tissue regeneration in vascular and soft-tissue biomaterials is governed not by bulk volumetric porosity, but by the e...

The Value of a Predictive Model Based on Multimodal Ultrasound Imaging Biomarkers Combined with Clinical Features in the Diagnosis of Thyroid Nodules.

INTRODUCTION: This study aimed to develop and validate diagnostic models for distinguishing benign and malignant thyroid nodules. METHODS: Between Jan...

Performance of the Techcyte AI-based image analysis system for coproparasitological diagnosis in clinical stool specimens: a retrospective evaluation study.

UNLABELLED: Coproparasitological stool analysis based on microscopic examination is the reference diagnostic technique routinely performed in clinical...

Comparison of Deep Learning Approaches for Extreme Low-SNR Image Restoration.

BACKGROUND: Live-cell fluorescence microscopy enables the study of dynamic cellular processes. However, fluorescence microscopy can damage cells and d...

High-Throughput Olink Proteomics Elucidates the Immuno-Neurological Landscape of Gastric Cancer.

Gastric cancer (GC) ranks as the third leading cause of cancer-related mortality globally. A comprehensive and precise proteomic study of GC tissues c...