Genetics

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

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Showing 778-798 of 10,365 articles
Deep Visual Proteomics maps proteotoxicity in a genetic liver disease.

Protein misfolding diseases, including α1-antitrypsin deficiency (AATD), pose substantial health cha...

Genome evolution of Kaposi sarcoma-associated herpesvirus (KSHV).

UNLABELLED: Kaposi sarcoma (KS) is the most common cancer in people living with HIV (PLWH), particul...

TRAPT: a multi-stage fused deep learning framework for predicting transcriptional regulators based on large-scale epigenomic data.

It is challenging to identify regulatory transcriptional regulators (TRs), which control gene expres...

Artificial intelligence-assisted RNA-binding protein signature for prognostic stratification and therapeutic guidance in breast cancer.

BACKGROUND: Breast cancer is the most common malignancy in women globally, with significant heteroge...

Gut microbiome research: Revealing the pathological mechanisms and treatment strategies of type 2 diabetes.

The high prevalence and disability rate of type 2 diabetes (T2D) caused a huge social burden to the ...

High-resolution dynamic imaging of chromatin DNA communication using Oligo-LiveFISH.

Three-dimensional (3D) genome dynamics are crucial for cellular functions and disease. However, real...

Single-Cell Sequencing-Guided Annotation of Rare Tumor Cells for Deep Learning-Based Cytopathologic Diagnosis of Early Lung Cancer.

Deep learning (DL) models for medical image analysis are majorly bottlenecked by the lack of well-an...

A deep learning approach for blood glucose monitoring and hypoglycemia prediction in glycogen storage disease.

Glycogen storage disease (GSD) is a group of rare inherited metabolic disorders characterized by abn...

Enhancing fever of unknown origin diagnosis: machine learning approaches to predict metagenomic next-generation sequencing positivity.

OBJECTIVE: Metagenomic next-generation sequencing (mNGS) can potentially detect various pathogenic m...

Self-supervised network predicting neoadjuvant chemoradiotherapy response to locally advanced rectal cancer patients.

Radiographic imaging is a non-invasive technique of considerable importance for evaluating tumor tre...

Designing Clinical Trials for Patients With Rare Cancers: Connecting the Zebras.

The field of rare cancer research is rapidly transforming, marked by significant progress in clinica...

Pathogenomic fingerprinting to identify associations between tumor morphology and epigenetic states.

INTRODUCTION: Measuring the chromatin state of a tumor provides a powerful map of its epigenetic com...

Exploring the potential of cell-free RNA and Pyramid Scene Parsing Network for early preeclampsia screening.

BACKGROUND: Circulating cell-free RNA (cfRNA) is gaining recognition as an effective biomarker for t...

Transformer-based deep learning for accurate detection of multiple base modifications using single molecule real-time sequencing.

We had previously reported a convolutional neural network (CNN) based approach, called the holistic ...

Identification of Recurrence-associated Gene Signatures and Machine Learning-based Prediction in IDH-Wildtype Histological Glioblastoma.

Glioblastoma (GBM) is a highly aggressive brain tumor with frequent recurrence, yet the molecular me...

Geometric deep learning framework for de novo genome assembly.

The critical stage of every de novo genome assembler is identifying paths in assembly graphs that co...

c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer's disease.

Alzheimer's disease (AD) is a neurodegenerative disorder that requires early diagnosis for effective...

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