Genetics

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

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Identification of Potential Biomarkers in ASD Integrating RNA Seq Data and Machine Learning Approaches.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder, caused by various epigenetic and genetic factors. This has resulted in an unclear understanding of etiology and biomarkers associated with ASD. In this study, we used RNA Seq datasets integrating with machine learning models to identify the differentially expressed genes (DEGs) between ASD and typical development (TD). The RNA Seq da...

May 21 2026 42175278

Deep learning multi-omics integration identifies new molecular subtypes of lung cancer.

Cancer is a heterogeneous disease, with numerous subtypes differing in molecular profiles, risk factors, clinical outcomes, and tumor locations. Lung cancer, the third most diagnosed cancer in the United States, is driven by a complex combination of molecular alterations, which influence tumor behavior and patient outcomes. Large-scale consortia such as The Cancer Genome Atlas (TCGA) have generate...

May 21 2026 42169010
Emerging frontiers in genome editing: From CRISPR to next-generation technologies.

Genome editing has revolutionized molecular biology. It offers precise modification of genetic material across diverse organisms. This review outlines...

May 21 2026 42173386
Microbe Decoder uncovers functional traits of microbes in microbiome datasets.

Microbe Decoder is a web server that predicts functional traits of microbes in microbiome sequencing datasets. Sequencing has revealed thousands of or...

May 21 2026 42163722
Noninvasive detection and prognostic stratification of biliary tract cancer using cell-free DNA fragmentomics: a model development and validation study.

Biliary tract cancer (BTC) is typically diagnosed at an advanced stage due to the lack of effective screening tools, resulting in limited therapeutic ...

May 21 2026 42165910
Upregulation of the Mitophagy-Related Gene EXOSC4 Is Associated with Immune Dysregulation in Spinal Cord Injury.

Spinal cord injury (SCI) profoundly impairs patients' quality of life and imposes a substantial economic burden on society, often resulting in irrever...

May 21 2026 42166074
New learnings from the molecular pathology of the synovial tissue in rheumatoid arthritis: from pathogenesis to therapeutic targeting toward precision medicine.

Despite the success of targeted therapies in rheumatoid arthritis, the lack of predictive biomarkers of response leads to an empirical treatment appro...

May 21 2026 42167060
Meta-Learning as a Promising Strategy for Lipid Nanoparticle Optimization and Ionizable Lipid Discovery.

The rapid growth of lipid nanoparticle (LNP)-based RNA therapeutics demands predictive tools to accelerate formulation and lipid design, yet developme...

May 21 2026 42167744
Enhancing respiratory virus surveillance among hospitalised children: a machine learning-based predictive model.

BACKGROUND: Viral respiratory tract infections (vRTIs) are a leading cause of paediatric hospitalisation and healthcare utilisation. Existing syndromi...

May 21 2026 42167899
Integrating temporal morphophysiological and genomic markers for precise classification of flowering time in cannabis.

Indigenous Cannabis sativa populations exhibit remarkable diversity in their flowering-time responses to photoperiod cues, reflecting adaptation to va...

May 21 2026 42168298
Pan-cancer analysis of single-cell profiles with polygenic signals reveals genetic influences on tumor immunity across cancers.

Inherited genetic variation can weaken the ability of the immune system to detect and eliminate malignant cells, limiting the effectiveness of cancer ...

May 21 2026 42168330
Identifying and validating ITGB2 and HNRNPAB as diagnostic biomarkers in chronic obstructive pulmonary disease using bioinformatics and Integrated Machine Learning Methods.

BACKGROUND AND AIM: COPD is a common respiratory disease characterized by progressive airflow restriction that severely affects patients' quality of l...

May 21 2026 42166424
AI-designed OpenCRISPR-1 enables efficient targeted mutagenesis and prime editing in rice.

Recent advances in generative artificial intelligence (AI) have enabled the de novo design of genome-editing nucleases. For example, OpenCRISPR-1 offe...

May 20 2026 42434514
An integrated AI pipeline for automated cytogenetic analysis of bone marrow karyograms in hematological malignancies: A Pix2Pix enhancement and deep learning detection approach.

BACKGROUND: Conventional cytogenetic analysis remains central to the diagnosis and risk stratification of hematological malignancies but is constraine...

May 20 2026 42318451
Uncovering G Protein-Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis.

BACKGROUND: Low-grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein-coupled receptors (GPCR) contribute to glioma mal...

May 20 2026 42163039
Single-cell analysis reveals that NRG1/3-ERBB4 signaling affects metabolic reprogramming and immune escape in Wilms tumor.

BACKGROUND: Wilms tumor presents a heterogeneous tumor microenvironment. This study aimed to characterize the tumor microenvironment and identify prog...

May 20 2026 42163376
Mechanisms and strategies for lignin-targeted pretreatment and β-glucosidase molecular engineering in enhancing cellulase hydrolysis efficiency: A review.

Lignocellulosic biomass (LCB), a second-generation feedstock for cellulosic ethanol production, requires efficient pretreatment. This step is critical...

May 20 2026 42167431
Integrating multi-omics analysis to identify potential biomarkers and regulatory networks of ischemic stroke.

Ischemic stroke (IS) is a leading cause of death and long-term disability worldwide, with a complex and multifactorial pathophysiology that is still i...

May 20 2026 42167472
An Overlooked Formulation Variable: Solvent Reshapes DNA Delivery.

Nonviral polymeric vectors offer a tunable platform for nucleic acid delivery, yet formulation variables beyond polymer structure remain underexplored...

May 20 2026 42157723
Calibration and evaluation of machine-learning algorithms for missense variant classification under ACMG/ClinGen recommendations.

PURPOSE: Missense variants represent a large proportion of variants of uncertain significance (VUS) in clinical genetics. The ClinGen framework now en...

May 20 2026 42159056
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