COVID-19

Optimising pandemic response through vaccination strategies using neural networks.

Epidemic risk assessment poses inherent challenges, with traditional approaches often failing to balance health outcomes and economic constraints. This paper presents a data-driven decision support tool that models epidemiological dynamics and optimises vaccination strategies to control disease spread while minimising economic losses. The proposed economic-epidemiological framework comprises three...

The 12 o'clock assay: an optimized dodecaplex droplet digital PCR assay for robust DNA methylation quantification and epigenetic clock-based age-predictions.

DNA methylation quantification in age-prediction models relies on only a few techniques with inherent limitations and biases, reducing the accuracy and reproducibility. We developed a new droplet digital PCR assay format for accurate DNA methylation quantification, based on three LNA-containing hydrolysis probes to detect methylated and unmethylated alleles. Using a 12-plex assay we simultaneously...

Genome-wide detection of human 5' UTR variants that impact protein translation.

The 5' untranslated region (5' UTR) of messenger RNAs (mRNAs) plays a central role in regulating protein synthesis initiation, particularly through th...

Identification of Novel Non-coding Genetic Variants of Serum Urate Using Whole Genome Sequencing in 7,339 Chinese.

OBJECTIVE: To investigate the genetic architecture of low-frequency and rare variants of serum urate (SU) in East Asian populations, aiming to clarify...

Geographical origin discrimination and quality testing of Angelica dahurica slices based on mid-infrared spectroscopy and machine learning.

Angelica dahurica, a geo-authentic medicinal herb with dual food-medicinal applications, is under key protection by the Chinese government and has gai...

Predicting Visual Field Loss in Glaucoma Using OCT and Deep Learning: A Comparative Study of U-Net Variants.

PURPOSE: Glaucoma is a chronic eye disease that progressively damages the optic nerve, leading to irreversible visual field (VF) loss. OCT and VF test...

The Genetics of TDP-43 Type C Neurodegeneration: A Whole-Genome Sequencing Study and Literature Review.

BACKGROUND AND OBJECTIVES: Frontotemporal lobar degeneration TDP43 type C (TDP-C) is a rare and unique neurodegenerative disease that attacks the ante...

Severe COVID-19 in the Republic of Korea: Epidemiology, Risk Factors, Therapeutics, and Prognostic Models From Nationwide Data.

Severe coronavirus disease 2019 (COVID-19) has posed ongoing clinical and public health challenges worldwide, with Korea providing a unique perspectiv...

TCR recognition of peptide-HLA class II complexes in autoimmunity: Structural insights for therapeutic targeting.

Autoimmune diseases encompass a broad spectrum of disorders in which self-reactive T and B cells breach immune tolerance and drive chronic tissue infl...

Machine learning derived ORC6 as a hub biomarker for predicting tumor microenvironment, prognoses, and therapeutic responses in lung adenocarcinoma.

The origin recognition complex (ORC) is a DNA-binding complex composed of six subunits involved in DNA replication in cancer cells. The prognostic and...

Chemically functionalized cellulose triboelectret nanogenerator for machine-learning-enabled tactile sensing.

Self-powered energy harvesting technology has attracted significant attention for use in biomedical devices, smart sensors, wearables and implantable ...

Artificial Intelligence Applications in COVID-19-Associated Coagulopathy: Lessons Learned.

Coronavirus disease 2019 (COVID-19)-associated coagulopathy (CAC) is a thromboinflammatory syndrome marked by endothelial injury, micro- and macrovasc...

Integrated bioinformatics and machine learning, research on specific biomarkers for large-artery atherosclerosis stroke.

Large-artery atherosclerosis stroke (LAA) is the main subtype of ischemic stroke. Currently, the diagnosis of LAA is confirmed through magnetic resona...

Evaluating Deep Learning Based Structure Prediction Methods on Antibody-Antigen Complexes.

MOTIVATION: AlphaFold2 significantly improved the prediction of protein complex structures. However, its accuracy is lower for interactions without co...

The Wnt receptor Frizzled3 (FZD3) drives aggressive phenotypes in small cell lung cancer.

BACKGROUND: Small cell lung cancer (SCLC) is an aggressive neuroendocrine malignancy characterized by rapid progression and poor prognosis. This study...

Application of protein language models for antibody developability prediction.

Protein language models (PLMs) provide a powerful framework for learning sequence - property relationships in antibodies. However, their performance a...

[Advances in integrated antimicrobial resistance diagnostics: quantitative, qualitative and AI-driven approaches].

The rapid global increase in antimicrobial resistance complicates the treatment of life-threatening infections and makes fast, reliable antimicrobial ...

Machine learning model for predicting improvement in left ventricular systolic function in patients with heart failure and reduced ejection fraction.

BACKGROUND: About one-third of patients with heart failure (HF) with reduced ejection fraction (HFrEF) may demonstrate left ventricular ejection fract...

Cross-sectional evaluation of cardiovascular biological age using point-of-care ultrasound.

AIMS: Biological age is increasingly recognized as a superior predictor of morbidity, mortality, compared with chronological age. Artificial intellige...

Feasibility of short-term hospital mask demand forecasting using a backpropagation neural network under data scarcity.

Early-stage infectious disease outbreaks impose acute pressure on hospital supply systems, particularly for essential protective materials such as med...