Genetics

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

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Showing 337-357 of 10,326 articles
DNA methylation as a diagnostic biomarker for rheumatoid arthritis: a validation study using targeted sequencing.

OBJECTIVES: To validate the potential of the serotonin receptor encoded by 5-hydroxytryptamine recep...

Machine learning application to predict binding affinity between peptide containing non-canonical amino acids and HLA-A0201.

Class Ι major histocompatibility complexes (MHC-Ι), encoded by the highly polymorphic HLA-A, HLA-B, ...

AffiGrapher: Contrastive Heterogeneous Graph Learning with Aromatic Virtual Nodes for RNA-Small Molecule Binding Affinity Prediction.

RNA molecules exhibit diverse structures and functions, making them promising drug targets. However,...

Unraveling the role of perineural invasion in cancer progression across multiple tumor types.

Perineural invasion (PNI) refers to the infiltration of tumor cells into the connective tissue of ne...

Aptamer-directed siRNA delivery systems for triple-negative breast cancer therapy.

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by the ...

SetBERT: the deep learning platform for contextualized embeddings and explainable predictions from high-throughput sequencing.

MOTIVATION: High-throughput sequencing is a modern sequencing technology used to profile microbiomes...

Predicting IDH Mutation in Glioma Patients Using Deep Learning Algorithms with Conformal Prediction.

The World Health Organization glioma classification highlights genetic profiles, such as isocitrate ...

A composite universal DNA signature for the tree of life.

Species identification using DNA barcodes has revolutionized biodiversity sciences. However, convent...

Programmable DNA-Based Molecular Neural Network Biocomputing Circuits for Solving Partial Differential Equations.

Partial differential equations, essential for modeling dynamic systems, persistently confront comput...

Neural network prediction model based on Levy flight and natural biomimetic technology for its application in cancer prediction.

Precise forecasting of cancer outcomes is essential for medical professionals to assess the well-bei...

Prognosis and prognostic factors for chronic fibrosing idiopathic interstitial pneumonias.

Progressive lung fibrosis is frequently observed in patients with idiopathic interstitial pneumonias...

RNA-ligand interaction scoring via data perturbation and augmentation modeling.

Despite recent advances in RNA-targeting drug discovery, the development of data-driven deep learnin...

Prime editor-based high-throughput screening reveals functional synonymous mutations in human cells.

Synonymous mutations are generally considered neutral, while their roles in the human genome remain ...

Gaining insights into epigenetic memories through artificial intelligence and omics science in plants.

Plants exhibit remarkable abilities to learn, communicate, memorize, and develop stimulus-dependent ...

Multimodal deep learning for predicting neoadjuvant treatment outcomes in breast cancer: a systematic review.

BACKGROUND: Pathological complete response (pCR) to neoadjuvant systemic therapy (NAST) is an establ...

Temporal Dynamics of APOE and TREM2 Expression in Microglial Activation of NMOSD Mouse Models.

Neuromyelitis optica spectrum disorder (NMOSD) is a severe autoimmune demyelinating disease characte...

Physiological Response of Tissue-Engineered Vascular Grafts to Vasoactive Agents in an Ovine Model.

Tissue-engineered vascular grafts (TEVGs) are emerging as promising alternatives to synthetic grafts...

Born to Fear the Machine? Genetic and Environmental Influences on Negative Attitudes toward AI Agents.

Despite the rapid development of artificial intelligence (AI) agents, substantial individual differe...

Leveraging transformers for semi-supervised pathogenicity prediction with soft labels.

The rapid advancement of Next-Generation Sequencing (NGS) technologies has revolutionized the field ...

Assessing individual genetic susceptibility to metabolic syndrome: interpretable machine learning method.

BACKGROUND: Genome-wide association studies have provided profound insights into the genetic aetiolo...

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