Genetics

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

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Deep learning algorithms reveal genomic markers for anxiety disorder in a large cohort of children with down syndrome.

Despite a significant burden of neurobehavioral and psychiatric comorbidities in children with Down ...

Bridging Genomic Research Disparities in Osteoporosis GWAS: Insights for Diverse Populations.

PURPOSE OF REVIEW: Genome-wide association studies (GWAS) have significantly advanced osteoporosis r...

deepTFBS: Improving within- and Cross-Species Prediction of Transcription Factor Binding Using Deep Multi-Task and Transfer Learning.

The precise prediction of transcription factor binding sites (TFBSs) is crucial in understanding gen...

Role of artificial intelligence in cancer drug discovery and development.

The role of artificial intelligence (AI) in cancer drug discovery and development has garnered signi...

Machine-guided dual-objective protein engineering for deimmunization and therapeutic functions.

Cell and gene therapies often express nonhuman proteins, which carry a risk of anti-therapy immunoge...

Integrating Knowledge: The Power of Ontologies in Psychiatric Research and Clinical Informatics.

Ontologies are structured frameworks for representing knowledge by systematically defining concepts,...

A standardized framework for robust fragmentomic feature extraction from cell-free DNA sequencing data.

Fragmentomics features of cell-free DNA represent promising non-invasive biomarkers for cancer diagn...

Biallelic loss-of-function variants in ZNF142 are associated with a robust DNA methylation signature affecting a limited number of genomic loci.

Biallelic inactivating variants in ZNF142 underlie a clinically variable neurodevelopmental disorder...

Single-cell multimodal analysis reveals tumor microenvironment predictive of treatment response in non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) constitutes over 80% of lung cancer cases and remains a leading c...

Deconstructing the GWAS library - Next Generation GWAS.

Genome-wide association studies (GWAS) have identified numerous common genetic variants associated w...

Mechanisms underlying obesity-malignancy connection: a systematic narrative review.

The association between obesity and cancer risk carries substantial public health ramifications as o...

Construction and Multi-dimensional Validation of a Lactylation-Related Signature for Glioblastoma Multiforme Prognostic and Therapeutic Purposes.

Glioblastoma multiforme, one of the most malignant types of brain tumor, heavily relies on glycolyti...

POCALI: Prediction and Insight on CAncer LncRNAs by Integrating Multi-Omics Data with Machine Learning.

Long non-coding RNAs (lncRNAs) are receiving increasing attention as biomarkers for cancer diagnosis...

Extended Linear Confined Zipper Cascaded Reaction for Highly Efficient Intracellular Imaging and Assisting Diagnosis of Thyroid Cancer.

Highly sensitive detection and in situ tracing analysis of small-molecule biomarkers are particularl...

Explainable AI Model Reveals Informative Mutational Signatures for Cancer-Type Classification.

: The prediction of cancer types is primarily reliant on driver genes and their specific mutations. ...

The Gut Microbiota in Young Adults with High-Functioning Autism Spectrum Disorder and Its Performance as Diagnostic Biomarkers.

Diagnosing ASD in adults presents unique challenges, and there are currently no specific biomarkers...

Deep-learning-enabled multi-omics analyses for prediction of future metastasis in cancer.

Metastasis remains the leading cause of cancer-related mortality, yet predicting future metastasis i...

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