Genetics

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

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Evaluation of KU-F40 automated microscope for parasitology: when artificial intelligence meets old school microscopy.

Intestinal parasitic infections (IPIs) have a worldwide distribution and have a major impact on health, work capacity, and economy in many countries. Light microscopy is still considered the reference method for IPI diagnosis but is labor-intensive. KU-F40, an automated feces analyzer, combines automated microscopic examination of stool samples and deep learning artificial intelligence. The aim of...

Feb 10 2026 41665376

Integration of Multi-Omics and Machine Learning Identifies TGFB1 and SERPINE1 as Biomarkers of Vascular Smooth Muscle Cell Senescence in Intracranial Aneurysms.

Intracranial aneurysms (IAs) are severe cerebrovascular disorders lacking effective gene therapy or pharmacological interventions. Vascular smooth muscle cell (VSMC) senescence has been associated with various cardiovascular and cerebrovascular diseases; however, its role in IA pathogenesis remains unexplored, and the key regulatory genes remain unidentified. By integrating multi-omics data, machi...

Feb 10 2026 41665703
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 inflammation. While fibroblasts contribute to tiss...

Feb 10 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 understanding the functional roles of genes in vari...

Feb 10 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 challenges to individuals living with these conditions. Gen...

Feb 10 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 preeclampsia (EOPE), is closely associated with the immune...

Feb 10 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 susceptibility, and enhanced sensitivity to DNA-targeting ...

Feb 10 2026 41667716
Integrative network toxicology and experimental evidence reveal mechanisms underlying diethyl phthalate-induced initiation and progression of endometrial cancer.

Diethyl phthalate (DEP) is a ubiquitous environmental endocrine-disrupting chemical (EDC). Epidemiological studies have suggested a potential associat...

Feb 10 2026 41667778
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 clinical outcomes. Accumulated evidence has demon...

Feb 10 2026 41668073
Inhibition of the p38/JNK MAPK pathway mediated by circadian rhythm genes: Study of the mechanism of Linggan Wuwei Jiangxin decoction in the treatment of COPD.

ETHNOPHARMACOLOGICAL RELEVANCE: Chronic obstructive pulmonary disease (COPD) is a frequently encountered respiratory disease. Its clinical symptoms ar...

Feb 9 2026 41672117
Trichosanthes kirilowii extract alleviated liver fibrosis and acute myocardial infarction by inhibiting VCAN to restrain monocyte senescence: Insights from bioinformatic analyses and experimental validation.

BACKGROUND: Liver fibrosis and acute myocardial infarction (AMI) tended to co-occur. Cellular senescence and an imbalanced immune microenvironment wer...

Feb 9 2026 41720002
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 rates for individual patients. Efforts toward the...

Feb 9 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 immunocompromised individuals, particularly transplant...

Feb 9 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 poses significant diagnostic and therapeutic challenge...

Feb 9 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 progression and immunotherapy response, yet their integrat...

Feb 9 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 subtypes, many of which lack reliable diagnostic or...

Feb 9 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 to prevent metastasis and postoperative recurrence...

Feb 9 2026 41661515
Advanced deep learning strategies in nanopore RNA sequencing.

The epitranscriptome comprises chemical modifications found on RNA molecules that play essential roles in co- and post-transcriptional gene regulation...

Feb 9 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 increased dramatically. However, current algorithms face...

Feb 9 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 tissues while preserving spatial location information. ...

Feb 9 2026 41663685
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