Genetics

Predicting mild familial exudative vitreoretinopathy with autosomal dominant inheritance using deep learning.

Oxide interface-based polymorphic electronic devices for neuromorphic computing.

Aside from recent advances in artificial intelligence (AI) models, specialized AI hardware is crucia...

Integrative analysis of single-cell and bulk RNA sequencing data using machine learning identifies PTGDS as a key subsynovial fibroblast gene in osteoarthritis.

Multi-omics and AI-guided discovery and validation of sisomicin as a COPA-targeting agent for pathological scar inhibition.

BACKGROUND: Pathological scars, including hypertrophic scars and keloids, are fibrotic skin disorder...

Machine learning-based programmed cell death gene signature for prognosis and drug sensitivity in breast cancer.

Breast cancer (BRCA) heterogeneity necessitates robust prognostic biomarkers. Programmed cell death ...

Simulation-based inference captures non-Markovian effects as exemplified in protein production kinetics through cell division.

Inferring protein production kinetics in dividing cells is complicated by protein inheritance from t...

ACAT1-mediated lactylation reprogramming governs immune-stromal crosstalk in ulcerative colitis.

Ulcerative colitis (UC), a chronic inflammatory bowel disorder characterized by progressive colonic ...

Linking rare variants to cell-type function in profound autism with brain transcriptomics and foundation models.

Genetic association studies have identified numerous genes harboring protein-disrupting variants in ...

"Unpatients" in haemostasis and thrombosis. A yardstick of current paths in healthy carriers of a genetic susceptibility.

"Unpatients" are health-conscious individuals -carrying a genetic susceptibility whose impact is unc...

Radiopathomic Graph Deep Learning for Multiscale Spatial-Contextual Modeling of Intratumoral Heterogeneity to Predict Breast Cancer Response to Neoadjuvant Therapy.

Purpose To develop an explainable radio-pathomic graph deep-learning (RPGDL) system for multiscale s...

Integrated multi-omics and experimental validation for identifying novel biomarkers of acute myocardial infarction.

Acute myocardial infarction (AMI) remains a leading cause of morbidity and mortality, and early diag...

Multiomics and deep learning dissect regulatory syntax in human development.

Transcription factors establish cell identity during development by binding regulatory DNA in a sequ...

The trRosettaRNA server for RNA structure prediction.

Similar to proteins, many RNAs fold into three-dimensional (3D) structures to perform biological fun...

Pooled CRISPR screening enables genotype-phenotype association in industrial microorganisms.

Industrial microorganisms combine genomic robustness with process resilience to achieve high-level b...

Impact of a personalized antidepressant prescription using genetics, socio-demographic and clinical data in major depressive disorder patients: A clinical study.

BACKGROUND: Major depressive disorder (MDD) is common and disabling, and antidepressant selection of...

Fusion-m6A: A lightweight hybrid deep learning framework for RNA m6A site prediction.

N6-methyladenosine (m6A) is the most common mRNA modification and plays key role in RNA metabolism, ...

Harnessing diverse tRNAs and AI-guided mining for compact and efficient plant multiplex genome editing.

The widespread use of CRISPR-Cas9 (Clustered regularly interspaced short palindromic repeats-CRISPR-...

SDS-CRISPR for Single-Nucleotide Variant Detection.

The CRISPR-Cas12a system offers a promising platform for simple and sensitive nucleic acid diagnosti...

How Well Can AI and Physics-Based Simulations Predict the Probability a Cryptic Pocket Is Open?

Identifying and understanding cryptic pockets remains a compelling goal in drug discovery, as they c...

A palmitoylation-related prognostic risk scoring model and tumor microenvironment characterization in lung adenocarcinoma, using single-cell RNA sequencing data.

BACKGROUND: Lung adenocarcinoma (LUAD) is the predominant pathological subtype of non-small cell lun...

Dual biomarkers ALOX5AP and INPP4A are associated with lipid metabolism and neutrophil extracellular traps in periodontitis: A bioinformatics and clinical validation study.

OBJECTIVE(S): Periodontitis is a chronic inflammatory disease characterized by progressive alveolar ...