Pathology

An Integrated Rotation-Programmed and Gravity-Driven Microfluidic Platform for Direct Bacterial Detection from Whole Blood.

For the precise molecular detection of bloodstream infection, sample processing is critical, as it involves purifying pathogenic DNA to circumvent the inhibitory effect of complex blood components. To integrate the cumbersome workflow encompassing the entire process to realize automated operation, passive methods such as gravity-driven microfluidics eliminate additional driving and controlling mod...

Development and validation of a digital pathology artificial intelligence (DPAI)-derived risk score predicting Gleason grade group reclassification for patients who are candidates for active surveillance.

AIMS: Active surveillance (AS) allows selected men with localized prostate cancer to defer curative therapy and reduce treatment morbidity. Conversion from AS to treatment is commonly triggered by Gleason grade group (GGG) upgrading on confirmatory biopsy. We developed and validated a digital pathology artificial intelligence (DPAI)-derived risk score to predict GGG upgrading in AS-eligible patien...

High performance deep-learning model for the diagnosis of auto-immune hepatitis based on histological whole slide images.

Autoimmune Hepatitis (AIH) is a liver disease with a wide clinical spectrum, driven by an abnormal immune response against the liver parenchyma. Chall...

Deep-Learning Solution Providing Molecular Marker Subtyping of Breast Cancer Whole Slide Images: Protocol for a UK Clinical Service Evaluation Study.

BACKGROUND: As the histopathology workforce continues to struggle and service demand continues to increase, it has become prudent to consider viable a...

Cellular architecture and neighborhood-informed virtual spatial tumor profiling from histopathology.

The tumor microenvironment (TME) critically shapes disease progression and therapeutic resistance. However, a comprehensive understanding of its spati...

Pulmonary Neuroendocrine Tumor Artificial Intelligence-Assisted Prediction of Postoperative Recurrence from Tumor Biopsy Specimens.

The current WHO (2021) classification of lung neuroendocrine tumors (LNETs) into typical (TC) and atypical carcinoids (AC) relies on resection materia...

Enhancing the Efficacy of Ulcerative Colitis Treatment by Inhibiting LCN2-Mediated Pyroptosis Through Traditional Processing Techniques: With the rhizome of Atractylodes macrocephala Koidz. as an Example.

ETHNOPHARMACOLOGICAL RELEVANCE: Atractylodes Macrocephala Rhizome (AMR), the dried rhizome of Atractylodes macrocephala Koidz (family Asteraceae), is ...

Fecal and colonic microbiota differ in composition, function, diagnostic utility and correlation with inflammatory cytokines in ulcerative colitis.

Fecal samples have been frequently used to investigate ulcerative colitis (UC)-related gut microbiota study due to their easy availability. However, w...

Early and late mortality among patients with T1-T3 head and neck squamous cell carcinoma: a machine learning analysis using a SEER population-based cohort study.

Despite advances in the management of head and neck squamous cell carcinoma (HNSCC), mortality within 6 months of diagnosis remains a substantial clin...

Benchmarking machine learning approaches for polarization mapping in ferroelectrics using 4D-STEM.

Four-dimensional scanning transmission electron microscopy (4D-STEM) provides rich, atomic-scale insights into materials structures. However, extracti...

Quantitative characterization of crack coalescence mechanisms in granite at the mesoscopic scale using deep learning.

This study quantitatively characterized the crack coalescence mechanisms in granite at the mesoscopic scale using deep learning and scanning electron ...

Adversarial sample generation technology combining benign salient areas and improved GAN in white-box and black-box attack scenarios.

A end-to-end malware visual security assessment and defense framework is proposed to address the serious vulnerability faced by malware visual classif...

Role of systemic and epicardial adipose tissue in cardiometabolic disease.

Adipose tissue is increasingly recognized as an immunological and metabolic organ composed of multiple specialized depots that exert diverse effects o...

Robust quantification of ICG fluorescence perfusion in neonatal bowel surgery via deep point tracking.

PURPOSE: Indocyanine green (ICG) fluorescence imaging is increasingly used for intraoperative bowel perfusion assessment in neonatal surgery. However,...

Real-time identification of malignant breast tissue during electrosurgical resection.

Achieving complete resection of breast cancer with clear margins remains a significant surgical challenge, particularly for infiltrating subtypes, whe...

Performance and clinical utility of image-based machine learning models for the diagnosis of neglected tropical diseases in low- and middle-income countries: a systematic review.

BACKGROUND: Neglected tropical diseases (NTDs) disproportionately affect populations in low- and middle-income countries (LMICs), where diagnostic cap...

Integrating machine learning and retrospective cohort to explore the effects of AEDs on the prognosis of LGG and identify related molecular targets.

Antiepileptic drugs (AEDs) were frequently employed in glioma patients, especially those with low-grade glioma (LGG), in which epilepsy manifested in ...

Deep Learning-Driven 3D Histopathology Method: A Pipeline for Cellular-Resolution Myocarditis Analysis.

Infiltrative cardiovascular diseases are characterized by complex spatial distributions of abnormal tissue that hinder accurate diagnosis and therapeu...

Functional, molecular, and digital measurements of biological age.

The reality of an aging population demands a deeper understanding of aging as a biological process, rather than as a chronological descriptor. Chronol...

Endometriosis and the mental health burden: a registry-based study of redeemed prescriptions and psychiatric hospital contacts before and after diagnosis of endometriosis.

STUDY QUESTION: Do women with endometriosis have a higher use of antidepressants and anxiolytics, and more frequent psychiatric hospital contacts due ...