COVID-19

Integrated NEK7-inflammasome and platelet transcriptomic signature generates mechanistic hypotheses in heart failure.

BACKGROUND: The relationship between NEK7-NLRP3 inflammasome activation and elevated platelet activity in the progression of heart failure (HF) is not well understood. Additionally, a comprehensive gene network linking these processes to cardiac fibrosis has not been established. Our study aimed to explore the transcriptomic associations between NEK7-inflammasome, platelet activation and cardiac f...

Both chronological age and individual differences in aging are the two indispensable components for predicting biological age.

Due to the lack of a gold standard for biological age (BA), existing studies usually adopt chronological age (CA) as the training label when constructing BA prediction models using supervised artificial intelligence algorithms. However, CA cannot reflect individual differences in aging, leading to the frequently observed age delta correlation (ADC) phenomenon. This work proposes a new method for p...

Delta radiomics for predicting early radiation-induced lung injury after thoracic radiotherapy: a retrospective paired-CT study.

PURPOSE: Early radiation-induced lung injury remains a clinically relevant complication after thoracic radiotherapy. We compared pretreatment, posttre...

The development of a computational model for predicting sensitization potential in cosmetics.

The analysis and testing allergenic ingredients in cosmetics are crucial for quality and safety control. This study presents an improved method based ...

Investigating the feasibility and acceptability of the TeleRehabilitation of balance clinical and economic Decision Support System (TeleRehaB DSS) in adults at risk of falls: study protocol for a multicentre clinical trial.

INTRODUCTION: Falls are a significant concern for older adults, particularly those with neurological, vestibular, cognitive and post-viral conditions,...

Identification of T-cell exhaustion-related biomarkers in aortic dissection via integrated multi-omics analysis and mendelian randomization.

BACKGROUND: Aortic dissection (AD) is a life-threatening cardiovascular emergency characterized by high acute mortality. While immune dysregulation is...

Efficient inference of non-polyreactive antibody variants dependent on local fine-tuning.

Antibody polyreactivity, which is characterized by broad, low-affinity off-target binding, is an undesirable drug property associated with rapid clear...

Machine learning-powered audio-omics processing method as an auxiliary diagnostic approach for advanced nasopharyngeal carcinoma.

PURPOSE: Nasopharyngeal carcinoma (NPC) is located in the nasopharyngeal mucosa and is a malignant tumour of the head and neck, and approximately 70% ...

ACOT9, a mitochondrial metabolism-related gene, promotes ROS-associated epithelial remodeling in laryngeal squamous cell carcinoma.

BACKGROUND: Laryngeal squamous cell carcinoma (LSCC) is characterized by mitochondrial metabolic reprogramming, but its prognostic significance and un...

Development and evaluation of an explainable machine learning selection pipeline for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer.

BACKGROUND: The selection of appropriate machine learning (ML) methods for clinical research remains challenging, particularly when both predictive pe...

Impact of Exposure Parameters on Deep Learning Models in Chest Radiography and Implications for Deployment.

Purpose To investigate whether deep learning models trained on chest radiographs (CXRs) rely on radiographic exposure parameters as shortcut features ...

Is cellular senescence a biological feature of Long COVID? A transcriptomic analysis across comparative post-acute sequelae phenotypes.

INTRODUCTION: Cellular senescence, involving cell-cycle arrest and inflammatory factor release, may play a role in Long COVID development. We investig...

Cancer-Associated Alterations In O-GalNAc Glycosylation.

Aberrant O-GalNAc glycans such as Tn, STn, and T are among the most consistent tumor-associated carbohydrate antigens, broadly expressed on carcinomas...

Predictive value of PfEMP1 antibody profiles for the course of controlled human malaria infections.

Antibody-mediated immunity directed against Plasmodium falciparum erythrocyte membrane protein 1 (PfEMP1) is an important immune mechanism for protect...

AI-CURA, an automated LLM workflow for high-accuracy genetic variant classification.

Large language models (LLMs) have been extensively tested for incorporation into medical applications in recent years; however, their potential in cli...

Advances in the management of pediatric low-grade glioma.

Pediatric low-grade gliomas (pLGGs), the most common CNS tumors in children, are increasingly recognized as chronic diseases with prolonged courses an...

Prediction of Early Hospital Admission (≤24 Hours) After Stroke Using Machine Learning and Deep Learning: Multicenter Study From China.

BACKGROUND: Timely hospital admission is a prerequisite for effective acute stroke management, yet a substantial proportion of patients fail to reach ...

Multimodal imaging and artificial intelligence for response assessment to neoadjuvant therapy in breast cancer: a comprehensive review.

This narrative review explores the latest advancements in various imaging modalities combined with artificial intelligence (AI) for monitoring respons...

Development and validation of an interpretable machine learning model for early hospital-based differentiation of chikungunya and dengue fever using routine clinical data.

BACKGROUND: Chikungunya fever (CHIKF) and dengue fever are mosquito-borne viral diseases. These infections often circulate in the same regions at the ...

Scalable nonlinear Cox modeling via random Fourier features with analytic uncertainty.

BACKGROUND: The Cox proportional hazards model often fails to capture complex biomedical risk structures, such as U-shaped biomarker associations, due...