Genetics

Latest AI and machine learning research in genetics for healthcare professionals.

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Immunotyping the Tumor Microenvironment Reveals Molecular Heterogeneity for Personalized Immunotherapy in Cancer.

The tumor microenvironment (TME) significantly influences cancer prognosis and therapeutic outcomes,...

Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction.

PURPOSE: Recent advances in machine learning have led to the development of classifiers that predict...

The Role of PANoptosis-Related Genes in Predicting Breast Cancer Survival and Immune Prospect.

The function of PANoptosis in breast cancer (BC) remains indistinct. We constructed a nomogram mode...

Baseline Radiomics as a Prognostic Tool for Clinical Benefit from Immune Checkpoint Inhibition in Inoperable NSCLC Without Activating Mutations.

Checkpoint inhibitors (ICIs) are key therapies for NSCLC, but current selection criteria, such as e...

[Progress of individualized precision therapy for peritoneal metastasis in gastric cancer].

Peritoneal metastasis represents the most aggressive form of gastric cancer metastasis and serves as...

scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling.

BACKGROUND: Single-cell RNA sequencing (scRNA-Seq) technology reveals biological processes and molec...

Diversity of U1 Small Nuclear RNAs and Diagnostic Methods for Their Mutations.

U1 small nuclear RNA (snRNA) mutations are recurrent non-coding alterations found in various maligna...

Compositional Physical Reasoning of Objects and Events from Videos.

Understanding and reasoning about objects' physical properties in the natural world is a fundamental...

Hypertension precision medicine: the promise and pitfalls of pharmacogenomics.

Pharmacogenomics (PGx) has the potential to revolutionize hypertension management by tailoring antih...

Prediction of CRISPR-Cas9 on-target activity based on a hybrid neural network.

CRISPR-Cas9 is a groundbreaking gene editing technology, but variations in targeted editing efficien...

Optimizing phage therapy with artificial intelligence: a perspective.

Phage therapy is emerging as a promising strategy against the growing threat of antimicrobial resist...

Deep learning architectures for influenza dynamics and treatment optimization: a comprehensive review.

As a major worldwide health concern, influenza still requires precise modeling of flu dynamics and e...

TaxaCal: enhancing species-level profiling accuracy of 16S amplicon data.

BACKGROUND: 16S rRNA amplicon sequencing is a widely used method for microbiome composition analysis...

Heterophily-Aware Representation Learning on Heterogeneous Graphs.

Real-world graphs are typically complex, exhibiting heterogeneity in the global structure, as well a...

Prediction of mild cognitive impairment using blood multi-omics data.

Mild cognitive impairment (MCI) represents an initial phase of memory or other cognitive function de...

The development of predictive biomarkers and immunologic markers for breast cancer: current status and future perspectives.

Breast cancer is the leading cause of cancer-related mortality among women worldwide. The developmen...

Extrachromosomal circular DNA drives dynamic genome plasticity: emerging roles in disease progression and clinical potential.

Extrachromosomal circular DNA (eccDNA) has emerged as a dynamic and versatile genomic element with k...

Role of machine learning in molecular pathology for breast cancer: A review on gene expression profiling and RNA sequencing application.

INTRODUCTION: Breast cancer is the most prevalent cancer among women, with growing incidence and mor...

Integrative multi-omics reveal NSUN2 facilitates glycolysis and histone lactylation-driven immune evasion in renal carcinoma.

Clear cell renal carcinoma (ccRCC) is the most prevalent and aggressive subtype of kidney cancer. Ta...

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