COVID-19

Key and Emerging Concepts in Inborn Errors of Immunity and Immune Dysregulation.

Advances in clinical immunology have led to substantial developments in the diagnosis and treatment of patients with inborn errors of immunity (IEI). Still, publications between 2023 and 2025 reveal several persistent needs. First, ongoing reports from the International Union of Immunological Societies demonstrate the need for continued gene discoveries. Second, growing data illustrate the importa...

The dynamics of hepatitis B transmission with treatment and vaccination: A case study in the Ili Region of Xinjiang, China, by a physics-informed neural networks approach.

Hepatitis B virus (HBV) infection remains a leading cause of cirrhosis and hepatocellular carcinoma worldwide, and long-term control relies on sustained immunization and effective reduction of transmission. In high-burden settings, vaccination programs have expanded substantially, but there still exist differences in the immune response effect after vaccination and the phenomenon of post-vaccinati...

Recommendations From the Implementation Steering Group for Organ Utilisation Histocompatibility and Immunogenetics Sub-Group: ISOU H&I Sub-Group Recommendations.

The Organ Utilisation Group was established to address barriers in solid organ transplantation and improve patient outcomes across the United Kingdom....

Use of artificial intelligence in analysis of endoscopic images to detect residual disease or regrowth in rectal patients with complete clinical response to neoadjuvant chemoradiotherapy.

BACKGROUND: Patients with rectal cancer who have a complete clinical response (cCR) to neoadjuvant chemo/radiotherapy (nCRT) may opt for organ preserv...

Machine learning-guided risk stratification for Long QT Syndrome genetic variants with hiPSC-derived cardiomyocytes.

AIMS: Long QT syndrome (LQTS) is a life-threatening genetic disorder characterized by prolonged QT intervals on electrocardiograms. Congenital forms a...

Evaluating Encoder and Decoder Models for Extended Clinical Concept Recognition in Japanese Clinical Texts: Comparative Study With Weighted Soft Matching.

BACKGROUND: Extracting medical knowledge for secondary purposes, such as diagnostic support, continues to pose a substantial challenge. Conventional n...

AI-powered and manual assessment of tumor-infiltrating lymphocytes in early HER2-positive breast cancer in NSABP B-41.

The assessment of tumor-infiltrating lymphocyte (TILs), together with gene expression signatures (GES), has the potential to guide personalized breast...

High-precision brain tumor segmentation with switchable normalization in faster R-CNN architecture.

Brain tumor segmentation from multi-modal MRI scans remains challenging due to the heterogeneity of tumors, intensity variations, and different protoc...

Predictive triage for testing may improve control of a COVID-19 epidemic while reducing testing requirements.

BACKGROUND: Extensive population testing played a crucial role in mitigating the COVID-19 pandemic. However, scaling up testing capacity requires a co...

CT-based interpretable delta-radiomics model for risk stratification of pulmonary ground-glass nodules: a multicentre study.

OBJECTIVES: To develop and externally validate an interpretable fusion model combining multi-time-point CT radiomics with clinical-semantic features t...

Recent innovative approaches for drug delivery systems targeting cancer and CNS disorders.

Advancements in drug delivery systems (DDSs) have revolutionized pharmaceutical development by enhancing therapeutic precision, minimizing off-target ...

Bispecific antibodies for cancer therapy: evolution of structural formats and co-targeting strategies from wet-lab to AI-driven in silico modeling.

Bispecific antibodies (BsAbs), designed to recognize two different antigens or two different epitopes on the same antigen, are generated in laboratori...

From prediction to design: Optimized design of waste wood composites via GAN-augmented interpretable machine learning.

Machine learning (ML) models rapidly and accurately predict material properties at low computational cost. An ML approach combined with Generative Adv...

In-depth serum proteomics atlas of COVID-19 defines a Severity-Resistance Index from a four-protein panel for disease severity and prognosis.

BACKGROUND: COVID-19 exhibits seasonal epidemics with high risk of mortality in vulnerable population. Identifying accurate parameters for predicting ...

Maternal genetic variants associated with aneuploid conception: a narrative review.

BACKGROUND: Human aneuploid conception, a leading cause of infertility, pregnancy loss, and congenital disorders (e.g. Down's syndrome), arises from e...

Equitable Digital Frailty Screening for Marginalized Older Adults Using Audio Computer-Assisted Self-Interview: Collaborative Development Guide and User Testing Study.

BACKGROUND: Older adults facing social or structural marginalization for reasons such as lower literacy, digital exclusion, financial constraints, res...

Fast BCIs: Leveraging Dual-Scale Time Windows with Test-Time Adaptation to Enhance Accuracy.

Brain-computer interfaces (BCIs) must deliver outputs rapidly in numerous practical applications. However, the decoding accuracy may decline significa...

Integrating scanning electron microscopy, explainable deep learning, and ITS sequencing for accurate identification in some species Geastrum.

The differentiation of species within the genus Geastrum remains a challenging task due to the strong morphological similarity among taxa and the limi...

Analyzing the performance of deep learning splice prediction algorithms.

SpliceAI is the leading tool for predicting splice-altering variants, but restrictive licensing limits clinical adoption. While open-source implementa...

Glycolytic reprogramming in host response to Borrelia burgdorferi: A gene signature revealed by integrative bioinformatics analysis and machine learning.

Lyme disease (LD), a multifaceted condition caused by Borrelia burgdorferi (Bb), remains poorly understood, particularly regarding metabolic pathways....