Genetics

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

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Showing 1177-1197 of 11,060 articles
Integrating environmental factors and genetic variants in machine learning to assess occupational noise impact on health.

Noise-induced hearing loss (NIHL) is a complex disorder arising from the interplay between noise, as...

Feb 2026 41671953
Predictive modeling of molecular activity underlying physical cell-cell interactions.

Interactions between cells are central to tissue organization and function in health and disease. La...

Feb 2026 41672069
Combining Spatial Transcriptomics and Machine Learning Unravels Fibroblast-Related Biomarkers in Ulcerative Colitis.

Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by persistent mucosal ...

Feb 2026 41665828
AGEP_TWAS: A Deep Learning-based Framework for Predicting Gene Expression Levels in Tissues.

Accurate prediction of gene expression levels across different tissues is of great significance in u...

Feb 2026 41666075
A machine learning classifier to identify and prioritise genes associated with murine cardiac development.

Congenital heart disease (CHD) is a major cause of infant mortality and presents life-long challenge...

Feb 2026 41666193
HLA-DPA1 as a diagnostic biomarker differentiating early- and late-onset preeclampsia.

The occurrence and development of a wide range of preeclampsia (PE), especially early-onset preeclam...

Feb 2026 41667698
Predicting homologous recombination deficiency and treatment responses using a computed tomography-based foundation model: a preclinical study.

Homologous recombination deficiency (HRD) can lead to genomic instability, increased cancer suscepti...

Feb 2026 41667716
A novel integrative machine learning-based prognostic model reveals lactylation regulation in hepatocellular carcinoma progression.

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignant liver tumor with poor...

Feb 2026 41668073
Implementing generative artificial intelligence in precision oncology: safety, governance, and significance.

The paramount challenge in precision oncology lies in further improving quality of life and response...

Feb 2026 41664164
A machine learning model for accurate prediction of CMV end-organ disease.

BACKGROUND: Cytomegalovirus (CMV) End-Organ Disease (EOD) remains a significant complication in immu...

Feb 2026 41664175
Artificial Intelligence-based analysis of pre-eclampsia gene expression profiles for identification of novel potential pre-eclampsia diagnostic biomarkers.

Preeclampsia (PE) is a multifactorial and heterogeneous hypertensive disorder of pregnancy that pose...

Feb 2026 41666647
Integrative analysis of immune and microbial subtypes predicts immunotherapy response in stomach adenocarcinoma.

The tumor immune microenvironment and intratumoral microbiota play critical roles in cancer progress...

Feb 2026 41660849
Transcriptomic subgroups in soft tissue tumors correlate with morphologic subtype, genomic features, and outcome.

PURPOSE: Soft tissue tumors (STT) are highly heterogeneous neoplasms with more than 100 recognized s...

Feb 2026 41661217
Spectral CT imaging in colorectal cancer: current applications, limitations, and future perspectives.

Colorectal cancer (CRC) is the third most common malignancy worldwide, and early detection is vital ...

Feb 2026 41661515
Advanced deep learning strategies in nanopore RNA sequencing.

The epitranscriptome comprises chemical modifications found on RNA molecules that play essential rol...

Feb 2026 41663212
An image compression-encryption algorithm based on BP neural network optimized with fireworks algorithm.

With the rapid growth of the volume of image data, the burden of storage and transmission has increa...

Feb 2026 41663504
DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.

Spatial transcriptomics is an emerging technology that can analyze gene expression profiles of tissu...

Feb 2026 41663685
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