Genetics

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

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Artificial intelligence-simplified information to advance reproductive genetic literacy and health equity.

STUDY QUESTION: Can artificial intelligence (AI) and large language models (LLMs) effectively simpli...

Machine learning in Alzheimer's disease genetics.

Traditional statistical approaches have advanced our understanding of the genetics of complex diseas...

A brief review and comparative analysis of RNA secondary structure prediction tools.

Ribonucleic acid (RNA) lies at the heart of the central dogma. It spans the breadth of biological fu...

"Small extracellular vesicles: messengers at the service of breast cancer agenda in the primary and distant microenvironments".

Breast cancer (BC) remains a leading cause of cancer-related mortality in women, with complex mechan...

A deep ensemble framework for human essential gene prediction by integrating multi-omics data.

Essential genes are necessary for the survival or reproduction of a living organism. The prediction ...

MDNCT: a multi-domain neurocognitive transformer architecture approach for early prediction of autism spectrum disorders.

Intellectual disability (ID) refers to a disorder involving intelligence and adaptive behavior that ...

Nanopore full length 16S rRNA gene sequencing increases species resolution in bacterial biomarker discovery.

Discovery of disease-related bacterial biomarkers could be a useful approach for early prevention or...

Accuracy and acceptability of self-sampling HPV testing in cervical cancer screening: a population-based study in rural Yunnan, China.

To evaluate the accuracy and acceptability of self-sampling samples for HPV testing for cervical can...

Sequencing validates deep learning models for EHR-based detection of Noonan syndrome in pediatric patients.

Despite advanced diagnostic tools, early detection of rare genetic conditions like Noonan syndrome (...

Harmonization and strengthening of Japan's biodosimetry network to support medical triage in the event of a nuclear disaster.

PURPOSE: The development of AI-assisted biodosimetry systems brings significant advances in cytogene...

GraphCellNet: A deep learning method for integrated single-cell and spatial transcriptomic analysis with applications in development and disease.

Spatial transcriptomics (ST) integrates gene expression with spatial location, enabling precise mapp...

Beyond the static picture: a machine learning and molecular dynamics insight on singlet fission.

Singlet fission (SF) is a promising mechanism to overcome the current efficiency limit in solar cell...

Identification of podocyte molecular markers in diabetic kidney disease via single-cell RNA sequencing and machine learning.

Diabetic kidney disease (DKD) is a major cause of end-stage renal disease globally, with podocytes b...

Application of machine learning reveals diagnostic biomarkers related to pyroptosis in Alzheimer's disease and analysis of immune infiltration.

BackgroundAlzheimer's disease (AD) is characterized by complex pathological mechanisms, with pyropto...

Emerging innovations in ophthalmic drug delivery for diabetic retinopathy: a translational perspective.

Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading caus...

Exploration of common pathogenic genes between cerebral amyloid angiopathy and insomnia based on bioinformatics and experimental validation.

Cerebral amyloid angiopathy (CAA) and insomnia are age-related neurological disorders increasingly r...

Activated TBK1 promotes ACSL1-mediated microglia lipid droplet accumulation and neuroinflammation in Parkinson's disease.

UNLABELLED: Microglia-mediated neuroinflammation plays a crucial role in the progression of Parkinso...

Machine learning reveals complex genetics of fungal resistance in sorghum grain mold.

Plant disease resistance is often a complex, polygenic trait, making its genetic dissection with tra...

Application of image guided analyses to monitor fecal microbial composition and diversity in a human cohort.

The critical role of gut microbiota in human health and disease has been increasingly illustrated ov...

Genetic and molecular underpinnings of the link between rheumatoid arthritis and myasthenia gravis: Insights from GWAS and transcriptomic analyses.

BACKGROUND: Although studies have shown that patients with rheumatoid arthritis (RA) are at a higher...

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