Genetics

Loop of N2-polarized neutrophils and exhausted CD8 + T cells induces immunotherapy resistance in NSCLC.

While neutrophils represent a prominent myeloid component in non-small cell lung cancer (NSCLC), the specific immunosuppressive functions of N2-polarized neutrophils and their mechanistic interactions with CD8⁺ T cells remain incompletely characterized. Furthermore, the development of clinically applicable models for prognostic stratification and immunotherapy response prediction, grounded in thes...

RaMoA: Raman Microspectroscopy and Deep Learning for the Classification of Antimicrobial Mechanism of Action.

We propose an innovative technology based on the combination of Raman microspectroscopy and deep learning to classify the Mechanism of Action (MoA) of antimicrobials and predict their novelty. Raman microspectroscopy provides chemical and physical signatures of molecular structures in bacteria to reveal phenotypic responses to antimicrobials. Deep learning techniques are powerful tools to extract ...

The Performance of Artificial Intelligence in Classifying Molecular Markers in Adult-Type Gliomas Using Histopathological Images: Systematic Review.

BACKGROUND: Adult-type gliomas are among the most prevalent and lethal primary central nervous system tumors, where prompt and accurate diagnosis is e...

Colonoscopy surveillance in Lynch syndrome: what it prevents and what it does not.

Lynch syndrome (LS), synonymous with hereditary non-polyposis colorectal cancer (HNPCC), is caused by germline pathogenic variants in MLH1, MSH2, MSH6...

Lung cancer as a global health challenge: Multidimensional biomarker research and therapeutic advances.

Lung cancer, the leading cause of global cancer-related mortality, is categorized into small-cell and non-small-cell subtypes. The heterogeneous non-s...

Bayesian networks for predicting clinical outcomes in COVID-19 patients: A retrospective study in a resource-limited setting.

BACKGROUND: The COVID-19 pandemic has highlighted the critical need for robust, interpretable predictive models to guide clinical decision-making for ...

From genes to diagnosis: The impact of UNC5B and DOK5 in intracranial aneurysm detection and pathogenesis.

OBJECTIVE: Intracranial aneurysms exhibit a notable prevalence within the general population, characterized by an incidence rate ranging from 1% to 2%...

Immune-activated & pathology-characterized: the distinct clear cell renal cell carcinoma subtypes for 3PM strategies derived from artificial intelligence in multi-omics.

BACKGROUND AND OBJECTIVE: Renal clear cell carcinoma (ccRCC) is highly heterogeneous, with significant differences in clinical outcomes such as progno...

The plastic stomatal development in grasses and its implications in crop improvement.

Cereal crops, predominantly belonging to the grass family (Poaceae), are the cornerstone of global agriculture; thus, improving their environmental ad...

Based on WGCNA and machine learning studies, SMURF2 drives NSCLC malignant transformation, ferroptosis, and macrophage polarization by ubiquitinating SPP1.

BACKGROUND: Non-small cell lung cancer (NSCLC) is a common type of lung cancer with poor prognosis and high mortality in advanced stages. Although sec...

Trends, Antimicrobial Resistance, and Source Attribution of Campylobacter jejuni and C. coli in Beijing: An 8-Year Molecular Surveillance Study.

OBJECTIVES: Beijing, a large urban center with complex food supply chains, faces increasing challenges from foodborne Campylobacter infections. Howeve...

CRMIPred: Identifying the spatial interactions among cis-regulatory modules via considering their cross-attended epigenetic profiles.

BACKGROUND AND OBJECTIVE: Modular DNA elements known as cis-regulatory modules (CRMs) play central roles in transcriptional regulation in metazoan spe...

Artificial intelligence assisted multi-model pathological diagnosis of breast cancer based on multispectral autofluorescence images.

Virtual staining technology offers a promising solution to overcome the time-consuming and sample-consumption nature of conventional histochemical sta...

Foundation Model and Multi-Instance Learning-Based Framework for Predicting Lymphovascular Invasion in Prostate Cancer.

BACKGROUND: Lymphovascular invasion (LVI) is a well-established adverse prognostic factor in prostate cancer (PCa). This study aimed to develop and va...

Translating tumor epigenetic subtyping into methylome network-based prognostic models in early-stage NSCLC: results from the prospective MOBIT study.

Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data.

Clustering is commonly used in single-cell RNA sequencing (scRNA-seq) to assess cellular heterogeneity, but standard methods often require user-specif...

Beyond the baseline: mapping the context-specific regulatory landscape of disease.

Genome-wide association studies have identified thousands of intergenic variants associated with disease, most of which are presumed to act by affecti...

Unveiling m7G modification patterns and causal drivers governing intracranial aneurysm rupture risk through multi-omics validation and m7G-MeRIP-seq profiling.

Intracranial aneurysm (IA) rupture causes severe brain hemorrhage with high mortality, yet its molecular drivers remain unclear and better risk predic...

Computational Redesign of an Ancestral Xylose Isomerase: Tuning the Substrate Preference and Thermostability for Biomass Valorization.

Xylose isomerase is a promising biocatalyst for lignocellulose valorization, but natural enzymes are limited by a preference for either d-xylose or d-...

RAS signaling in lung adenocarcinoma is defined by lineage context and DUSP4 loss.

BACKGROUND: The molecular landscape of lung adenocarcinoma (LUAD) is often illustrated as a driver-oncogene "pie chart," but identical mutations exhib...