Genetics

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

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A machine-learning framework to characterize functional disease architectures and prioritize disease variants

Modeling disease effect sizes from genome-wide association studies (GWAS) is critical for both advan...

Identification and validation of tolerogenic dendritic cells-related biomarkers in diabetic retinopathy

Diabetic retinopathy (DR) is a primary microvascular complication of diabetes. Its pathogenesis is a...

DNA-Based Deep Learning and Association Studies for Drug Response Prediction in Leiomyosarcoma

Leiomyosarcoma (LMS) is a rare and aggressive soft tissue sarcoma with limited treatment options and...

Machine Learning for Predicting and Maximizing the Response of Breast Cancer Patients to Neoadjuvant Therapy

Neoadjuvant therapy (NAT) is an established treatment for certain high-risk, locally advanced, or un...

Understanding the Relationship Between Germ Layer Origin and Cancer Therapy Response: A Systematic Review

Cancer therapeutic response patterns may be fundamentally influenced by embryonic germ layer origin....

Automatic variant prioritization in suspected genetic kidney disease using the Nephro Candidate Score (N-CS)

Despite the identification of >700 genes linked to rare and inherited kidney diseases (IKD), many in...

A Glioma Stem Cell–Associated Transcriptomic Program Predicts Survival Across Adult and Pediatric High-Grade Gliomas

High-grade gliomas (HGGs), including adult glioblastoma (GBM) and pediatric diffuse intrinsic pontin...

Fragile X Syndrome in Brazil: Development and Validation of a Clinical Checklist for Population Screening

Fragile X Syndrome (FXS) is the most common inherited cause of intellectual disability and syndromic...

Robust methylome analysis and tumour–normal classification in TCGA–COAD: a reproducible workflow

Colorectal adenocarcinoma is caused in part by widespread epigenetic deregulation, yet the analysis ...

Discovering latent subtypes of preterm birth and genetic risk using tensor decomposition on electronic health records

Preterm birth is a syndrome that is triggered by diverse biological pathways and presents with many ...

CanBART: A Generative Foundation Model of Cancer Molecular Alterations for Synthetic Patient Generation and Genomic Profile Completion

Despite the rapid expansion of genomic profiling in oncology, real-world datasets remain limited in ...

Employing Consensus-Based Reasoning with Locally Deployed LLMs for Enabling Structured Data Extraction from Surgical Pathology Reports

Surgical pathology reports provide essential diagnostic information critical for cancer staging, tre...

Domain-wide Mapping of Peer-reviewed Literature for Genetic Developmental Disorders using Machine Learning and Gene2Phenotype

Genetically determined developmental disorders (GDD) are rare, heterogeneous conditions for which cl...

Sociodemographic Bias in Large Language Model Clinical Trial Screening

Large language models (LLMs) are increasingly used in randomized clinical trial (RCT) screening, but...

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