Genetics

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

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Showing 379-399 of 10,326 articles
NLP-like deep learning aided in identification and validation of thiosulfinate tolerance clusters in diverse bacteria.

Allicin tolerance () clusters in phytopathogenic bacteria, which provide resistance to thiosulfinate...

Coordinated Residue Motions at the Enzyme-Substrate Interface Promote DNA Translocation in Polymerases.

The translocation of DNA in polymerase (Pol) enzymes is a critical step for Pol-mediated nucleic aci...

Genome-wide annotation and comparative analysis of miniature inverted-repeat transposable elements (MITEs) in six pear species.

Through multi-faceted comparative analysis of MITEs across six pear genomes, we revealed their distr...

Early detection and staging of retinitis pigmentosa using multifocal electroretinogram parameters and machine learning algorithms.

Retinitis pigmentosa is an inherited retinal disease caused by damage to photoreceptor cells. Diagno...

The role of tumor microenvironment and immune cell crosstalk in triple-negative breast cancer (TNBC): Emerging therapeutic opportunities.

Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by its lack of estrogen,...

Metastatic hepatic carcinoma: Mechanisms, emerging therapeutics, and future perspectives.

Metastatic hepatic carcinoma (MHC) remains a lethal disease, with a 5-year survival rate of around 1...

Advanced molecular approaches to thalassemia disorder and the selection of molecular-level diagnostic testing in resource-limited settings.

Beta-thalassemia is a genetic disorder that significantly burdens healthcare systems globally. This ...

Stereotactic Body Radiation Therapy for Primary Renal Cancer and Genetic Markers of Response: A Phase 2 Trial.

Controlled outcome assessment of radiotherapy for primary renal cell carcinoma (RCC) remains limited...

Artificial Intelligence in cancer epigenomics: a review on advances in pan-cancer detection and precision medicine.

DNA methylation is a fundamental epigenetic modification that regulates gene expression and maintain...

Optimizing stroke detection with genetic algorithm-based feature selection in deep learning models.

Brain stroke is a leading cause of disability and mortality worldwide, necessitating the development...

A tumor microenvironment model for glioma diagnosis and therapeutic evaluation based on the analysis of tissues and biological fluids.

Traditional glioma diagnostic methods have limitations, while liquid biopsy is a promising non-invas...

Development of a novel transcriptomic measure of aging: Transcriptomic Mortality-risk Age (TraMA).

Increasingly, research suggests that aging is a coordinated multi-system decline in functioning that...

Establishing predictive machine learning models for drug responses in patient derived cell culture.

The concept of personalised medicine in cancer therapy is becoming increasingly important. There alr...

Stem loop binding protein promotes SARS-CoV-2 replication via -1 programmed ribosomal frameshifting.

The -1 programmed ribosomal frameshifting (-1 PRF) in severe acute respiratory syndrome coronavirus ...

Data Fusion for Integrative Species Identification Using Deep Learning.

DNA analyses have revolutionized species identification and taxonomic work. Yet, persistent challeng...

An Efficient Deep Learning Framework for Revealing the Evolution of Characterization Methods in Nanoscience.

Text mining has emerged as a powerful strategy for extracting domain knowledge structure from large ...

Pan-omics insights into abiotic stress responses: bridging functional genomics and precision crop breeding.

Crop production has been regarded as the major goal of agricultural activities, but the rapidly grow...

Trade-off between resistance and persistence in high cell density cultures.

Bacterial growth to high cell densities is commonly observed in infections, microbiomes, and biomanu...

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