COVID-19

A multi-omics atlas of multisystem complications in type 2 diabetes reveals molecular signatures and improves risk prediction.

BACKGROUND: Type 2 diabetes (T2D) causes multisystem complications, but an integrated multi-omics framework for cross-system, multi-outcome analysis is lacking. We aimed to comprehensively construct the proteomic and metabolomic atlas of major T2D outcomes and to identify predictive panels that balance performance and clinical feasibility. METHODS: Among UK Biobank participants with T2D, we establ...

Calibration and evaluation of machine-learning algorithms for missense variant classification under ACMG/ClinGen recommendations.

PURPOSE: Missense variants represent a large proportion of variants of uncertain significance (VUS) in clinical genetics. The ClinGen framework now enables quantitative use of in silico predictors for variant classification (PP3/BP4), but newly developed machine-learning-based tools such as AlphaMissense (AM) and PrimateAI-3D (PAI3D) have not been evaluated in this context using real-world clinica...

Tumor-preserving Deformable Registration of Longitudinal Breast DCE MRI during Neoadjuvant Chemotherapy.

Purpose To develop a deep learning-based deformable registration method for breast dynamic contrast-enhanced (DCE) MRI that preserves tumor regions wh...

Automated blood group classification using a digital microfluidics chip and vision transformer-based image analysis.

Identifying blood groups accurately is critical for safe medical practices, especially in emergencies, surgeries, and prenatal care. Conventional meth...

Evaluation of YOLOv7-v13 models for multi-class small insect pest detection using the five-pest dataset.

Pest infestation affects global agriculture, causing massive crop yield losses, ecosystem degradation, and negative economic impacts. High accuracy an...

Translating functional molecular knowledge into crop-breeding success.

Historical plant breeding, which optimizes phenotypes through selective crossing guided by phenotypic evaluation and molecular markers, is limited by ...

Attention-Based Point Cloud Completion for CT-Equivalent Kidney Volumetry from Tracked Freehand Ultrasound.

Kidney volume measurement is critical for managing polycystic kidney disease and monitoring transplants, but computed tomography involves radiation an...

Genetic and immunological determinants of Pemphigus vulgaris: integrative analysis of HLA-DRB1 and FCGR2B variants.

Pemphigus vulgaris (PV) is a rare autoimmune blistering disease mediated by pathogenic autoantibodies. Although both HLA and non-HLA loci contribute t...

Machine learning-based evaluation and dimensionality optimization of groundwater quality indices for drinking and irrigation in the Vietnamese Mekong Delta.

Groundwater is the principal source of drinking and agricultural water supply in the Vietnamese Mekong Delta (VMD), yet it is increasingly threatened ...

Lateral flow assays for rapid detection of drugs of abuse: A review focusing on nanomaterial labels and intelligent analysis.

Drug abuse poses a severe threat to public health and societal security, necessitating the development of simple, fast, portable, and highly sensitive...

Pre-analytical standardization and multi-biofluid harmonization for liquid biopsy biomarkers in lung cancer: From discovery to clinical laboratory implementation.

Lung cancer remains the leading cause of cancer-related mortality worldwide, with early detection being critical for improving survival outcomes. Liqu...

Prospects and Challenges of Personalized Immunotherapy in Breast Cancer Treatment and Long-term Cancer Management.

Breast cancer is highly heterogeneous,and different molecular subtypes exhibit significant variations in their response to immunotherapy.While signifi...

Rapid Cas13a-based penA genotyping for cefixime susceptibility in Neisseria gonorrhoeae.

UNLABELLED: Antimicrobial resistance in Neisseria gonorrhoeae is an urgent public health threat. Resistance-guided therapy can assure appropriate trea...

SLA and DDX60L as potential diagnostic biomarkers for subclinical atherosclerosis in systemic lupus erythematosus: a transcriptomic and clinical validation study.

BACKGROUND: Systemic lupus erythematosus (SLE) patients face a 5-tenfold increased risk of atherosclerosis (AS), with subclinical lesions often progre...

Shear strength of light weight concrete elements model based on deep neural network and COVID-19 optimization.

Predicting the shear strength of concrete elements is a complex challenge influenced by numerous factors, with the type of concrete playing a decisive...

A multi-class framework for face mask compliance detection using lightweight deep learning models.

The use of face mask compliance regarding compliance monitoring is important in health sensitive and surveillance driven environments. This paper has ...

Viral pneumonia detection during the COVID-19 pandemic using deep learning and DCGAN-based data augmentation.

Deep learning has shown strong potential for automated chest X-ray analysis in the diagnosis of respiratory diseases. However, accurate detection of v...

Generative artificial intelligence in animal genomics for smart agriculture: Applications, challenges, and future prospects.

Generative artificial intelligence (AI) is becoming a groundbreaking paradigm in the field of animal genomics and is providing the possibility to take...

Prediction of HIV-1 sensitivity to broadly neutralizing antibodies using statistical distribution sampling (SDS) technology.

Accurately predicting HIV-1 sensitivity to broadly neutralizing antibodies (bNAbs) is a critical step in advancing the development of effective therap...

Machine learning approaches in identifying factors associated with hypertension and undiagnosed hypertension in adults in rural areas of Bangladesh.

BACKGROUND: Hypertension is a major cause of death and disability, and undiagnosed cases are particularly dangerous as they can cause severe damage wi...