Latest AI and machine learning research in genetics for healthcare professionals.
INTRODUCTION: Identifying cell types is a key step in single-cell RNA sequencing data analysis that aids in understanding cellular heterogeneity and facilitates downstream analyses such as those concerning cell-cell interactions and data integration. Cell-type annotation methods often rely on unsupervised clustering algorithms, followed by manual or automatic annotation via marker genes, which are...
BACKGROUND: Colony-stimulating factor-1 receptor (CSF1R) signaling is crucial for the ability of tumor-associated macrophages (TAMs) to establish an immunosuppressive tumor microenvironment (TME), highlighting the potential of CSF1R signaling as a therapeutic target. Noninvasive preoperative prediction of CSF1R levels in gliomas using magnetic resonance imaging (MRI) holds clinical potential for g...
PURPOSE: Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited treatment options and poorer overall survival tha...
Global outbreaks of viral infectious diseases underscore the urgent need for low-cost, instrument-free, and user-friendly molecular testing platforms ...
The rising global demand for sustainable protein sources poses critical challenges across food, pharmaceutical, and industrial biotechnology sectors. ...
BACKGROUND AND OBJECTIVE: Multimodal artificial intelligence (AI) algorithms have been validated to predict prostate cancer (PCa) metastasis using com...
Decomposition of corpses in aquatic environments is regulated by multiple factors, and traditional methods for estimating the postmortem submerged int...
BACKGROUND: Prostate cancer (PCa) is the most common solid organ cancer in men and the fifth leading cause of cancer-related deaths globally. PSA help...
BACKGROUND: Patients with sepsis often exhibit a decrease in lymphatic numbers, which can be facilitated by protein arginine methyltransferase (PRMT)....
The 5th edition of the WHO CNS tumor classification (2021) emphasizes molecular alterations, especially in pediatric tumors, integrating histology wit...
BACKGROUND: Alzheimer's disease (AD), a neurodegenerative disorder with multifactorial etiologies, has been closely associated with disturbances in ma...
Accurate and rapid diagnosis of Mycoplasma pneumoniae infection is essential for reducing its significant health burden. An amplification-free CRISPR-...
Genetic and epigenetic variation in enhancers is associated with disease susceptibility; however, linking enhancers to target genes and predicting enh...
BACKGROUND CONTEXT: Current clinical guidelines lack clear, quantitative recommendations on intensity-specific physical activity (PA) levels for preve...
Mycotoxins, toxic secondary metabolites produced by fungi such as Aspergillus, Fusarium, and Penicillium, frequently contaminate food supplies, posing...
RATIONALE & OBJECTIVE: Low muscle mass is a risk factor for chronic kidney disease. In this study, we examined the relationship between muscle mass an...
Hospital-acquired pneumonia (HAP) remains the most frequent and lethal hospital acquired infection, driving ICU mortality, prolonged length of stay, a...
As a downstream product of transcriptional regulation, mRNA offers valuable insights into age-associated molecular changes and shows considerable pote...
Regulation of transcription initiation is the ground level of modulating gene expression during plant development. This process relies on interactions...
Our study integrates network pharmacology with multiple bioinformatics approaches to systematically construct a framework for elucidating the therapeu...