COVID-19

Combined circulating tumor antigen model demonstrates additional prognostic value in first-line treatment of non-small cell lung cancer.

BACKGROUND: Circulating tumor antigens (ctA; tumor markers) are blood-based proteins that can offer prognostic value in non-small cell lung cancer (NSCLC) and may serve as potential early surrogates for survival. Given the significantly reduced testing time and cost of ctA compared with circulating tumor DNA (ctDNA), we further explored the utility of ctA using samples collected from over 2,300 pa...

Balancing technical and social controls across performance measurement and management stages: a bibliometric synthesis of digitally enabled healthcare performance management.

PURPOSE: An integrated, field-level synthesis of digitally enabled performance measurement and management systems (PM/PMS) in healthcare is provided, addressing fragmentation across tool-centered streams and limited cross-stage comparison of control configurations. The thematic structure of the field is mapped, themes are positioned along the balance between technical and social controls, and thei...

Content-based retrieval of fundus images and diabetic retinopathy detection using variants of local texture features.

Content-based retinal image analysis plays a crucial role in the early diagnosis of ocular diseases. In this study, we proposed a novel approach for e...

ViraLite: an ultracompact HIV viral load self-testing system with internal quality control.

Effective antiretroviral therapy has transformed HIV into a manageable chronic condition, provided viral suppression is maintained through routine vir...

Modelling Future Evolution of the Antarctic Ice Sheet With Explainable Machine Learning.

The accelerating effects of climate change, particularly rising sea levels resulting from melting land ice, require accurate predictions of ice sheet ...

Machine learning reveals temperature as a key predictor of dengue risk across Thailand's provinces: A 20-year analysis.

BACKGROUND: Dengue fever remains a critical public health challenge in Thailand, with transmission dynamics driven by complex interactions between env...

Fusion Gene Detection Enhances Clinical Outcome Prediction of Hepatocellular Carcinoma Through Machine Learning Analyses.

Hepatocellular carcinoma is one of the most lethal malignancies for humans. Assessing the clinical outcomes of HCC remains challenging. In this study,...

Transdermal delivery of biologics.

Biologics, including peptides, proteins, antibodies, vaccines and nucleic acid-based therapeutics, have transformed the management of chronic, metabol...

A mask-based peak-to-average power ratio reduction scheme for affine frequency division multiplexing systems using Volterra Series-Driven PolyNet.

Affine frequency division multiplexing (AFDM) demonstrates exceptional resilience to Doppler effects in doubly dispersive channels, making it a promis...

Bisphenol A exposure in myasthenia gravis: Potential targets and mechanisms revealed by network toxicology and molecular dynamics.

BACKGROUND: Myasthenia gravis (MG) is a B-cell-mediated autoimmune disease characterized by impaired neuromuscular transmission. Although genetic pred...

Integration of multi-omics and artificial intelligence for therapeutic insights in Alzheimer's disease: A comprehensive review.

Alzheimer's disease (AD) is a progressively worsening type of brain disorder that damages the nerve cells. It is marked by the buildup of amyloid-β pl...

Single-chain variable fragments in veterinary medicine: Intelligent design, efficient expression, and precision applications.

The development of single-chain variable fragment (scFv) antibodies constitutes a transformative advance in veterinary biologics. However, translation...

ImplantPlanNet: A deep learning framework for automatic implant planning from preoperative CBCT images.

OBJECTIVES: Preoperative implant planning based on cone-beam computed tomography (CBCT) images supports prosthetically driven treatment but remains ti...

Tumour cell density quantified by artificial intelligence is associated with differential benefit from irinotecan-based chemo-radiotherapy in locally advanced rectal cancer: a post-hoc study of the phase 3 ARISTOTLE trial.

BACKGROUND: Tumour cells and tumour-associated stroma are key components of the tumour microenvironment, and their interaction impacts disease progres...

Enhancing missense variant classification in predicted intrinsically disordered regions.

Classifying disease-causing missense variants in intrinsically disordered regions (IDRs) remains a significant challenge, with over 25% of known delet...

Identifying cluster profiles based on barriers and facilitators to physical activity during COVID-19 confinement: A cross-sectional study using machine learning analysis.

Social restrictions, such as confinement periods, tend to reduce physical activity (PA) levels. However, sociodemographic factors may influence specif...

DisoPatho: A Cross-View Feature-Adaptive Interaction Encoding Framework for Predicting Disease-Associated Variants in Intrinsically Disordered Regions.

Accurate prediction of variants within intrinsically disordered regions (IDRs) is crucial for advancing disease diagnosis and biomedical interpretatio...

Why bother with controlled-environment phenotyping when field phenomics is already up and running?

Plant phenomics has undergone rapid development over the past two decades, driven by advances in imaging, robotics, artificial intelligence and data a...

Integrated multi-omics analysis suggests a potential mechanism of DEHP-induced monocyte infiltration in MASH via the FOS-CCL3/4 axis.

OBJECTIVE: Di-(2-ethylhexyl) phthalate (DEHP) is a widespread environmental obesogen; however, its immune-proinflammatory mechanisms in the progressio...

Early hemodynamic assessment and longitudinal imaging for predicting graft outcomes post-transplant.

BACKGROUND: The early identification of early allograft dysfunction (EAD) and the long-term prediction of graft-related adverse event-free survival (G...