Genetics

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

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The Inherited Retinal Disease Pathway in the United Kingdom: a Patient Perspective and the Potential of AI

Inherited Retinal Diseases (IRDs) are the leading cause of blindness in young people in the UK. Desp...

Enhancing Rare Disease Education through AI-Driven Podcast Generation

Rare diseases, including many rare genetic epilepsies and neurodevelopmental disorders, present sign...

Combining Clinical Embeddings with Multi-Omic Features for Improved Patient Classification and Interpretability in Parkinson’s Disease

This study demonstrates the integration of Large Language Model (LLM)-derived clinical text embeddin...

The genetics of TDP43-Type-C neurodegeneration: a whole genome sequencing study

Frontotemporal lobar degeneration-TDP Type C (TDP-C) is a unique neurodegenerative disease that star...

An Interpretable Sparse Graph Contrastive Learning Approach for Identifying Breast Cancer Risk Variants

Genome-wide association studies (GWASs) have identified over 2,400 genetic variants associated to br...

AI-Powered Exploration of IGF2BP3 as a Prognostic Biomarker in Chronic Myeloid Leukemia Progression and Disease Stratification

Chronic Myeloid Leukemia (CML) progresses through chronic, accelerated, and blast crisis phases, mak...

Integration of CA attention and KAN algorithm to predict EGFR mutation status in lung cancer

Epidermal Growth Factor Receptor (EGFR) mutations are critical biomarkers for targeted therapies in ...

Leveraging hierarchical structures for genetic block interaction studies using the hierarchical transformer

Initially introduced in 1909 by William Bateson, classic epistasis (genetic variant interaction) ref...

The impact of systematized generation, evaluation, and incorporation of machine learning algorithms for clinical variant classification

Variants of uncertain significance (VUS) pose a significant challenge for those undergoing genetic t...

DEEP LEARNING-BASED PHENOTYPING OF FOREFOOT MORPHOLOGY IN HEREDITARY THORACIC AORTIC DISEASES

Hereditary thoracic aortic diseases (HTAD) are often associated with multifaceted phenotypic manifes...

Assessing Genotype-Phenotype Correlations with Deep Learning in Colorectal Cancer: A Multi-Centric Study

Deep Learning (DL) has emerged as a powerful tool to predict genetic biomarkers directly from digiti...

AI-HOPE: An AI-Driven conversational agent for enhanced clinical and genomic data integration in precision medicine research

Introduction: The increasing complexity of clinical cancer research necessitates the development of ...

MUTATE: A Human Genetic Atlas of Multi-organ AI Endophenotypes using GWAS Summary Statistics

Artificial intelligence (AI) has been increasingly integrated into imaging genetics to provide inter...

RNAseq-Based Machine Learning Models for Prognostication of Multiple Myeloma

Multiple myeloma (MM) is characterized by abnormal plasma cell proliferation in the bone marrow, lea...

Multi-organ metabolome biological age implicates cardiometabolic conditions and mortality risk

Biological aging clocks across organs and omics data, including clinical phenotypes, neuroimaging, p...

Leveraging functional annotations to map rare variants associated with Alzheimer’s disease with gruyere

The increasing availability of whole-genome sequencing (WGS) has begun to elucidate the contribution...

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