Latest AI and machine learning research in genetics for healthcare professionals.
Cutaneous squamous cell carcinoma (cSCC) involves complex immune interactions. This study aimed to identify a T cell-related gene signature to characterize the immune landscape and aid in molecular diagnosis. We integrated single-cell RNA sequencing (scRNA-seq) and five bulk microarray datasets, utilizing an independent RNA-seq cohort for external validation. Feature genes were identified from the...
Forensic body fluid identification, crucial for crime scene reconstruction, is often limited by sample scarcity and degradation. Hence, there is growing interest in more stable biomarkers like miRNA and microbial markers. While each has its limitations, they effectively complement one another. Specifically, miRNA requires complex multi-marker panels to distinguish fluids like saliva and vaginal se...
The Arabidopsis Information Resource (TAIR) is the primary knowledgebase for Arabidopsis thaliana, providing curated genetics and genomics data, analy...
The integration of artificial intelligence (AI) into computational biology is changing biological research, particularly in agriculture, where large a...
Centralizing valuable community data and resources into a user-friendly interface and accessible repository has become essential for agricultural scie...
CottonGen (https://www.cottongen.org) serves as an integrated genomics platform for the cotton research community, combining comprehensive data storag...
The Genome Database for Vaccinium (GDV, https://www.vaccinium.org/) is a knowledgebase serving the global Vaccinium research community. GDV centralize...
Understanding how genetic variation contributes to organism-wide phenotypes is critical for identifying mechanisms of disease. Here, we present a comp...
We benchmarked histopathology foundation encoders paired with attention-based multiple instance learning (MIL) against convolutional neural networks (...
OBJECTIVE: To systematically evaluate the contribution of clinical heterogeneity to chronic kidney disease (CKD) progression in gout patients using da...
BACKGROUND/AIMS: Intrahepatic cholangiocarcinoma (iCCA) represents an unmet clinical need due to its increasing incidence, aggressive biology, and lim...
PURPOSE: This study explores the potential of Natural Language Processing (NLP) tools, specifically ChatGPT-4o and Data Analyst, in supporting health ...
Bacteria and archaea have evolved diverse genomic adaptations to thrive across various temperatures. These adaptations include genome sequence optimiz...
Although hydrogen peroxide (H2O2) nebulization has shown promise for reducing SARS-CoV-2 loads in healthcare settings, its precise kinetics and real-w...
To explore the material basis and network mechanism of the Guizhi Fuling pills in the treatment of endometriosis and endometrial polyps based on netwo...
The quick expansions of e-commerce have increased competition, made client retention and repurchased predictions vital for sustainable corporate succe...
In precision medicine protein phenotypes are foreseen that combined with pattern recognition tools exhibit great potential in guaranteeing safe and ac...
RNA biology is undergoing a transformative revolution driven by AI foundation models. These models learn the intricate relationships between RNA seque...
RNA-binding proteins (RBPs) regulate post-transcriptional gene expression by recognizing specific RNA elements, making accurate identification of RBP ...
Genetic homogenization due to chronic clonal propagation poses a notable challenge to the sustainable utilization of Coptis chinensis Franch. We devel...