Genetics

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

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A new strategy for Cas protein recognition based on graph neural networks and SMILES encoding.

The CRISPR-Cas system, an adaptive immune mechanism found in bacteria and archaea, has evolved into ...

Clinical Validation of a Noninvasive Multi-Omics Method for Multicancer Early Detection in Retrospective and Prospective Cohorts.

Recent studies highlight the promise of blood-based multicancer early detection (MCED) tests for ide...

Enhancing detection and monitoring of circulating tumor cells: Integrative approaches in liquid biopsy advances.

Liquid biopsy offers a minimally invasive method for detecting and monitoring cancer, with key bioma...

Deep learning radiopathomics predicts targeted therapy sensitivity in EGFR-mutant lung adenocarcinoma.

BACKGROUND: Ttyrosine kinase inhibitors (TKIs) represent the standard first-line treatment for patie...

From pixels to prognosis: leveraging radiomics and machine learning to predict IDH1 genotype in gliomas.

Gliomas are the most common primary tumors of the central nervous system, and advances in genetics a...

Global-Local Feature Fusion Network Based on Nonlinear Spiking Neural Convolutional Model for MRI Brain Tumor Segmentation.

Due to the differences in size, shape, and location of brain tumors, brain tumor segmentation differ...

Advancements in fluorescent nanobiosensors for HPV detection: from integrating nanomaterials to DNA nanotechnology.

Human papillomavirus (HPV) is a leading cause of cervical cancer and other malignancies, necessitati...

Accurate prediction of absolute prokaryotic abundance from DNA concentration.

Quantification of the absolute microbial abundance in a human stool sample is crucial for a comprehe...

A novel diagnosis method utilizing MDBO-SVM and imaging genetics for Alzheimer's disease.

Alzheimer's disease (AD) is the most common neurodegenerative disorder, yet its underlying mechanism...

Sweet pepper yield modeling via deep learning and selection of superior genotypes using GBLUP and MGIDI.

Intelligent knowledge about Capsicum annuum L. germplasm could lead to effective management of germp...

Machine learning analysis of FOSL2 and RHoBTB1 as central immunological regulators in knee osteoarthritis synovium.

BackgroundKnee osteoarthritis is a debilitating disease with a complex pathogenesis. Synovitis, whic...

GINClus: RNA structural motif clustering using graph isomorphism network.

Ribonucleic acid (RNA) structural motif identification is a crucial step for understanding RNA struc...

Communication-efficient distributed learning with Local Immediate Error Compensation.

Gradient compression with error compensation has attracted significant attention with the target of ...

Current and Emerging Precision Therapies for Developmental and Epileptic Encephalopathies.

Developmental and epileptic encephalopathies (DEEs) are severe neurological disorders characterized ...

Accelerated Design of Fenton-Like Copper Single-Atom Catalysts by Adaptive Learning with Genetic Programming.

Traditional trial-and-error methods for optimizing catalyst synthesis are time-consuming and costly,...

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