Genetics

GCLSC: Single-cell clustering model based on graph contrastive learning.

The advent of single-cell RNA sequencing (scRNA-seq) technology has enabled the analysis of cellular heterogeneity at the single-cell level. In scRNA-seq data analysis, cell clustering is a crucial downstream task, as it facilitates the discovery of novel cell subtypes and the identification of known cell types, laying the groundwork for subsequent analyses. However, scRNA-seq data pose significan...

A causal bidirectional selective state space model for imaging genetics in neurodegenerative diseases.

Brain imaging genetics aims to uncover the pathological mechanisms and improve the diagnosis of brain diseases, particularly neurodegenerative disorders. While deep learning has advanced feature extraction and association modeling in this field, there are still two major challenges: extracting meaningful information from long genetic sequences and establishing causal relationships among genetics, ...

Author's Reply: Unrecognized Biases and Validation Gaps in TraceOrg for Automated Autosomal Dominant Polycystic Kidney Disease Volumetry.

Unrecognized Biases and Validation Gaps in TraceOrg for Automated Autosomal Dominant Polycystic Kidney Disease Volumetry.

A multi-target therapeutic framework for Alzheimer's disease: an integrative mechanistic review.

BACKGROUND: Alzheimer's disease (AD) is increasingly recognized as a multifactorial network disorder in which amyloid and tau pathology interact with ...

Artificial intelligence and machine learning in antimicrobial discovery, resistance prediction, and precision therapy.

OBJECTIVES: The global crisis of antimicrobial resistance (AMR) demands a paradigm shift in traditional drug discovery, and artificial intelligence (A...

Metabolic engineering of Pichia pastoris for high-efficiency production of branched-chain amino acids -enriched single-cell protein.

Branched-chain amino acids (BCAAs), including leucine, isoleucine, and valine, are essential nutrients for animals that must be obtained from the diet...

Machine learning and causal inference applied to the gut metagenome-metabolome axis reveals a link between neonatal jaundice and autism spectrum disorder.

UNLABELLED: Neonatal jaundice (NJ) might increase the risk of autism spectrum disorder (ASD) in children. This study examined whether alterations in t...

Multimodal MRI integrating anti-motion multi-parametric mappings for investigating subcortical nuclei microstructural alterations in Huntington's disease.

BackgroundHuntington's disease (HD) is a hereditary neurodegenerative disorder, with pathological changes detectable by MRI before symptom onset. Quan...

Haplotype-resolved genome reveals allele-aware epigenetic and 3D chromatin regulation of heterosis in the tea hybrid.

Heterosis, widely used in plant breeding to enhance yield and quality, is not yet fully understood at the allelic level, particularly in woody plants ...

Enhancer Dynamics for Gene Regulation in the Cardiovascular System.

Enhancers are regulatory DNA sequences that increase the transcription of a target gene when bound by transcription factors. Decades of research endea...

Emerging Diagnostic Indications for Endoscopic Ultrasound.

Endoscopic ultrasound (EUS) has evolved from a diagnostic imaging tool into a versatile platform that enables high-precision access, sampling, and the...

Programmable lipid nanoparticles for RNA therapeutics: Design principles and clinical translation.

RNA therapeutics have come of age as clinically validated modalities including mRNA, siRNA, antisense oligonucleotides (ASOs), and in vivo genome edit...

Chemo-prAIdict Breast: A deep learning solution for predicting residual disease on biopsies of breast cancer patients treated with neoadjuvant chemotherapy.

BACKGROUND: Predicting chemosensitivity before treatment could help tailor neoadjuvant chemotherapy (NAC) in early breast cancer (eBC). Pathological c...

Machine Learning Prediction of Analyte-Induced Fluorescence Perturbations in DNA-Functionalized Carbon Nanotubes.

Single-walled carbon nanotubes (SWCNTs) functionalized with single-stranded DNAs can function as near-infrared nanosensors for molecular analytes. How...

Machine learning reveals sex-biased platelet-associated molecular signatures in systemic lupus erythematosus.

OBJECTIVES: Autoimmune diseases (ADs) demonstrate a higher prevalence in women than men. Systemic Lupus Erythematosus (SLE) stands out among multiple ...

Predicting beef diet nutritional composition and intake from rumen metagenomic profiles.

Knowledge of diet composition and intake levels in beef cattle is valuable for post hoc feed traceability and for more accurate modelling of the diet ...

CRISPR-Cas12a biosensing technology advances and applications in precision diagnostics and cancer research.

CRISPR-Cas12a has become a versatile biotechnology platform with important applications in biosensing, diagnostics, and precision genome editing. This...

Unraveling stress-adaptation pathways in cancer: Functional dissection through CRISPR-based genetic screens.

Cancer cells face a hostile microenvironment characterized by hypoxia, nutrient deprivation, endoplasmic reticulum (ER) stress, and oxidative imbalanc...

CRViT-YOLO: A method for multi-morphological blood cell detection using convolution-restructured vision transformer.

Complete blood cell counting plays a critical role in medical diagnostics; however, conventional manual examination is time-consuming and prone to err...