Genetics

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

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Showing 7435-7455 of 11,216 articles
RNA liquid biopsy via nanopore sequencing for novel biomarker discovery and cancer early detection

Liquid biopsies detect disease noninvasively by profiling cell-free nucleic acids that are secreted ...

Recon8D: A metabolic regulome network from oct-omics and machine learning

To explore multiomic regulation of the metabolome, we used machine learning to predict metabolomic v...

OmniPert: A Deep Learning Foundation Model for Predicting Responses to Genetic and Chemical Perturbations in Single Cancer Cells

In cancer, intra- and inter-patient heterogeneity presents a significant challenge for therapeutic m...

Temporal foundation model unveils ancient Hepatitis B virus evolution

Since ancient hepatitis B virus (HBV) sequencing data are scarce and incomplete, the evolutionary dy...

Machine Learning-Driven Optimization of Specific, Compact, and Efficient Base Editors via Single-Round Diversification

Cytosine and adenosine base editors show great potential in research and clinical applications. Curr...

AI Discovery of Mechanisms of Consciousness, Its Disorders, and Their Treatment

Understanding disorders of consciousness (DOC) remains one of the most challenging problems in neuro...

snATAC-Express infers Gene Expression from Prioritized Chromatin Accessibility Peaks using Machine Learning

Single cell multi-omic investigation opens-up new opportunities to understand mechanisms of gene reg...

spRefine Denoises and Imputes Spatial Transcriptomics with a Reference-Free Framework Powered by Genomic Language Model

The analysis of spatial transcriptomics is hindered by high noise levels and missing gene measuremen...

MORPH Predicts the Single-Cell Outcome of Genetic Perturbations Across Conditions and Data Modalities

Modeling cellular responses to genetic perturbations is a significant challenge in computational bio...

Molecular unbalances between striosome and matrix compartments characterize the pathogenesis of Huntington’s disease model mouse

The pathogenesis of Huntington’s disease is still incompletely understood, despite the remarkable ad...

Accelerating protein engineering with fitness landscape modeling and reinforcement learning

Protein engineering holds significant promise for designing proteins with customized functions, yet ...

ATOMIC: A graph attention neural network for ATOpic dermatitis prediction on human gut MICrobiome

Atopic dermatitis (AD) is a chronic inflammatory skin disease driven by complex interactions among g...

Deep Evolutionary Fitness Inference for Variant Nomination from Directed Evolution

Iterative screening techniques, such as directed evolution, enable high-throughput affinity maturati...

Deep Learning for genomic prediction accounting for heterosis in crossbreeding systems

Crossbreeding is used in animal breeding to combine desirable traits from different breeds and to ex...

Matrix effects influence biochemical signatures and metabolite quantification in dried blood spots

Dried blood spots (DBS) represent a convenient clinical sample material, offering low infection risk...

RNALens: Study on 5’ UTR Modeling and Cell-Specificity

Recently, the Transformer architecture has been applied to predict the structure, function, and regu...

Integrating explainable AI with multiomics systems biology and EHR data mining for personalized drug repurposing in Alzheimer’s disease

Alzheimer’s disease (AD) is characterized by region- and patient-specific molecular heterogeneity, w...

UNICORN: Towards Universal Cellular Expression Prediction with a Multi-Task Learning Framework

Sequence-to-function analysis is a challenging task in human genetics, especially in predicting cell...

WaveSeekerNet: Accurate Prediction of Influenza A Virus Subtypes and Host Source Using Attention-Based Deep Learning

Influenza A virus (IAV) poses a significant threat to animal health globally, with its ability to ov...

Advancing Ligand Binding Affinity Prediction with Cartesian Tensor-Based Deep Learning

We present PBCNet2.0, a cartesian tensor-based Siamese Neural Network for protein-ligand relative bi...

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