Genetics

Integrated machine learning-based RNA sequencing and single-cell analysis reveal RNA methylation regulation patterns in the immune microenvironment of Alzheimer's disease.

Residual disease in NPM1-mutated acute myeloid leukemia.

Acute myeloid leukemia (AML) represents a genetically heterogeneous malignancy, with mutations in th...

Chromosome Image Classification Using Edge Fusion Attention Network.

Identification of chromosome pairs is important for karyotype generation and genetic disease predict...

2.5 dimensional multimodal MRI improves convolutional neural networks performance in predicting the IDH mutation status of adult diffuse gliomas.

Machine Learning in Venous Thromboembolism-Why and What Next?

Venous thromboembolism (VTE) remains a leading cause of cardiovascular morbidity and mortality, desp...

Making AI accessible for forensic DNA profile analysis.

Deep learning has the potential to be a powerful tool for automating allele calling in forensic DNA ...

PANDORA-seq reveals human sperm sncRNA signature endowed with sperm quality assessment.

One of the leading causes of human subfertility is the continuous decline in semen quality, contribu...

Determining the Survival Impact and Cost-Effectiveness of Multi-Gene Panel Sequencing in Metastatic Colorectal Cancer With Super Learning Approaches.

OBJECTIVE: To determine the effectiveness and cost-effectiveness of multi-gene panel sequencing comp...

Liquid biopsy in breast cancer management: From circulating biomarkers to clinical breakthroughs.

Breast cancer continues to be a major global health concern, particularly for women, despite improve...

A machine learning-driven transcriptomic study reveals the key role of Romo1 in reversing central sensitization through stellate ganglion block in migraine: An interventional study based on a recurrent migraine rat model.

OBJECTIVES/BACKGROUND: This study utilized a nitroglycerin (NTG)-induced chronic migraine rat model ...

Identification and Verification of SLC6A15 Involved in Keloid via Bioinformatics Analysis and Machine Learning.

Keloid is a fibroproliferative disorder that poses a challenge in clinical management. This study ai...

Global genomics of Lactococcus lactis: horizontal gene transfer and intergenic variation drive multiple domestication and dairy adaptation.

INTRODUCTION: Lactococcus lactis is a crucial lactic acid bacterium of great economically significan...

Genetic predisposition to unwanted side effects under antidepressants and antipsychotics: a molecular-genetic study of 902 patients over 6 weeks.

This project aimed at (1) detailing the complex side effect patterns of 902 inpatients treated for m...

Biomarkers associated with Hashimoto's thyroiditis induced by viral infection: An integrative bioinformatics and machine learning.

OBJECTIVE: Hashimoto's thyroiditis (HT) is a common disease characterized by autoimmune injury of th...

A machine learning platform for genotype-specific cardiotoxicity risk prediction using patient-derived iPSC-CMs.

INTRODUCTION: Drug-induced Torsades de Pointes (TdP) has led to withdrawal of several drugs from the...

Emerging innovations in ophthalmic drug delivery for diabetic retinopathy: a translational perspective.

Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading caus...

AI Prognostication in Nonsmall Cell Lung Cancer: A Systematic Review.

The systematic literature review was performed on the use of artificial intelligence (AI) algorithms...

Search for Specific Inhibitors Targeting Type IA Topoisomerases.

The type IA topoisomerase subfamily includes bacterial topoisomerase I and topoisomerase III encoded...

Tuning antibody stability and function by rational designs of framework mutations.

Artificial intelligence and machine learning models have been developed to engineer antibodies for s...

B4GALT3 as a Key Glycosyltransferase Gene in Multiple Myeloma Progression: Insights From Bioinformatics, Machine Learning, and Experimental Validation.

Glycosylation abnormalities are critical in the progression of various cancers. However, their role ...

Machine learning-based preoperative prediction of mutation status in adult gliomas using clinical features.

BACKGROUND: As isocitrate dehydrogenase (IDH) mutation status represents a critical prognostic facto...