Genetics

A Deep Learning Framework Integrating Tumor Microenvironmental Features Accurately Predicts Multiple Driver Gene Mutations in Lung Cancer Pathology Images.

UNLABELLED: Deep learning (DL) has the potential to enable the prediction of gene mutations directly...

Integration of Short- and Long-Read RNA Sequencing Enables the Discovery of Circular RNAs.

UNLABELLED: Circular RNAs (circRNA) are associated with crucial hallmarks of tumorigenesis. Select c...

Subtype-specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers.

Gene expression is tightly controlled by DNA elements called enhancers by associating with lineage-s...

M[Formula: see text]DGAT: Multi-view multi-scale dynamic graph attention network(GAT) based prediction of Parkinson's disease(PD) progression using whole-blood RNA sequencing data.

With emerging single-cell transcriptomics data, deep learning approaches have enabled the diagnosis ...

Developing a Metabolic-Associated Prognostic Index for Risk Stratification and Therapeutic Guidance in Stage I Lung Adenocarcinoma via Multiomics Analysis.

PURPOSE: Early-stage lung adenocarcinoma (LUAD) exhibits substantial clinical heterogeneity that is ...

From imaging to omics: deep learning is bridging MRI and liquid biopsy in bone tumor diagnosis.

Bone tumors such as osteosarcoma and Ewing sarcoma remain among the most challenging cancers to diag...

Integrating feature selection with unsupervised deep embedding for clustering single-cell RNA-seq data.

Single-cell RNA sequencing (scRNA-seq) enables high-resolution analysis of gene expression at the in...

Transformer-based multidimensional feature fusion for accurate prediction of lipid nanoparticles transfection efficiency.

RNA-based technologies have demonstrated significant potential for diverse applications, ranging fro...

Machine Learning Reveals the Association Between Gene Expression and Immune Infiltration in Colorectal Cancer: A Comprehensive Study From Single-Cell to Survival Analysis.

Colorectal cancer (CRC) is one of the most common causes of cancer mortality globally. Analysis of i...

Leveraging Artificial Intelligence to Transform Thoracic Radiology for Lung Nodules and Lung Cancer: Applications, Challenges, and Future Directions.

This review traces the historical path of artificial intelligence (AI) methods that have been applie...

Effectiveness of low-density high-throughput marker platform and easy-to-measure traits for genomic prediction of biomass yield in oat (Avena sativa L.).

Genomic selection (GS) is a promising strategy for accelerating genetic gains of complex traits in b...

Expert-Designed Fact Sheets and AI-Based Analysis of Patient Symptoms to Combat Diagnostic Delays in Inherited Metabolic Diseases.

The importance of early diagnosis of inherited metabolic diseases (IMDs) is well known, as it allows...

Regulatory roles of microRNAs in epigenetic and immune gene networks in psoriasis.

Psoriasis is a chronic, immune-mediated skin disorder characterized by keratinocyte hyperproliferati...

Multidimensional cfRNA response modeling identifies a 5-gene pair signature for high-robust pulmonary tuberculosis diagnosis.

Lack of non-invasive biomarkers hinders pulmonary tuberculosis (PTB) management. We developed a mult...

Integrating DNA barcoding and machine learning for species identification: Comparative genomics and codon usage bias of chloroplasts in Gentiana sect. Cruciata.

This study integrates chloroplast genome comparison, codon usage analysis, machine learning, and DNA...

Gene Specific Pathogenicity Predictor for Chromatin Remodeling BAF Complex-Associated Neurodevelopmental Disorders.

Advancements in whole genome sequencing have increased the number of variants of uncertain significa...

Image-based epigenetic profiling with deep learning and high-speed super-resolution microscopy.

Predicting Macrophage Spatial Localization from Single-Cell Transcriptomes to Uncover Disease Mechanisms.

When cells are isolated for single-cell RNA sequencing (scRNA-seq), their positional information is ...

AI-driven forecasting of Vibrio vulnificus in the Southern Baltic Sea using high-resolution data.

Vibrio vulnificus poses a growing public health risk in the brackish Baltic Sea, where rising summer...

Polysaccharide-functionalized gold, silver, and iron oxide nanoparticles for siRNA delivery: The role of artificial intelligence in design and optimization.

Polysaccharide-functionalized metallic nanoparticles (MFNPs), including gold (Au), silver (Ag), and ...

Exploring the role of phage resistance by using label-free SERS for biochemical profiling of gram-negative pathogen Pseudomonas aeruginosa strains with machine learning approach.

Pseudomonas aeruginosa (P. aeruginosa) is an emerging gram-negative pathogen, accountable for divers...