Latest AI and machine learning research in genetics for healthcare professionals.
Deep learning has the potential to be a powerful tool for automating allele calling in forensic DNA analysis. Studies to date have relied on bespoke model architecture and painstaking manual annotations to train models, which makes it challenging for other researchers to work with these techniques. In this study, we explore the possibility of training a well-performing model using data gathered as...
One of the leading causes of human subfertility is the continuous decline in semen quality, contributing to a global fertility crisis. Over half of subfertile men suffer from asthenozoospermia and teratozoospermia, with mechanisms still largely unknown. Traditional small noncoding RNA sequencing (sncRNA-seq) primarily targets miRNAs, failing to capture the broader spectrum of small noncoding RNAs ...
OBJECTIVE: To determine the effectiveness and cost-effectiveness of multi-gene panel sequencing compared to single-gene KRAS testing for metastatic co...
Breast cancer continues to be a major global health concern, particularly for women, despite improvements in early detection and treatment strategies....
OBJECTIVES/BACKGROUND: This study utilized a nitroglycerin (NTG)-induced chronic migraine rat model to explore the therapeutic effects and underlying ...
Keloid is a fibroproliferative disorder that poses a challenge in clinical management. This study aims to identify and functionally annotate different...
INTRODUCTION: Lactococcus lactis is a crucial lactic acid bacterium of great economically significance for cheese product. The species exhibits wildly...
This project aimed at (1) detailing the complex side effect patterns of 902 inpatients treated for major depression or schizophrenia under polypharmac...
OBJECTIVE: Hashimoto's thyroiditis (HT) is a common disease characterized by autoimmune injury of the thyroid. Its pathogenesis entails complex intera...
INTRODUCTION: Drug-induced Torsades de Pointes (TdP) has led to withdrawal of several drugs from the market. Individuals with inherited cardiac channe...
Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading cause of vision impairment worldwide. Despite advancem...
The systematic literature review was performed on the use of artificial intelligence (AI) algorithms in nonsmall cell lung cancer (NSCLC) prognosticat...
The type IA topoisomerase subfamily includes bacterial topoisomerase I and topoisomerase III encoded by topA and topB genes, reverse gyrase found in t...
Neuroblastoma is an aggressive childhood cancer characterised by high relapse rates and heterogenicity. Current medical diagnostic methods involve an ...
Artificial intelligence and machine learning models have been developed to engineer antibodies for specific recognition of antigens. These approaches,...
BACKGROUND: Although the significance of intratumoral heterogeneity (ITH) has been widely acknowledged in various cancers, its role in pancreatic canc...
Glycosylation abnormalities are critical in the progression of various cancers. However, their role in the onset and prognosis of multiple myeloma (MM...
BACKGROUND: As isocitrate dehydrogenase (IDH) mutation status represents a critical prognostic factor in adult gliomas, there is a demand for a straig...
Transcription factors (TFs) are pivotal in tumor initiation and progression, regulating downstream gene expression and modulating cellular processes. ...
Endocervical adenocarcinoma (ECA) the fatal and intrusive subtype of cervical carcinoma is on rise from the last decade. Its improper detection leads ...