Latest AI and machine learning research in fungal infection for healthcare professionals.
In fission yeast (Schizosaccharomyces pombe), cell length is a crucial indicator of cell cycle progr...
BACKGROUND: Superficial fungal infections are among the most common infections in world, they mainly...
This study aimed to develop and validate a nomogram based on lymphocyte subtyping and clinical facto...
In this study, the biological activities of Lactarius deliciosus were determined. Experimental studi...
Fungal pathogens significantly impact human health, agriculture, and ecosystems, with infections lea...
Infectious diseases remain a critical global health challenge, and the integration of standardized...
Blockchain technology has emerged as a transformative tool for data management in a variety of ind...
Introduction: Global burden of sexually transmitted infections (STIs) is rising out of proportion ...
It is projected that 10 million deaths could be attributed to drug-resistant bacteria infections in ...
Invertible promoters (invertons) are crucial regulatory elements in bacteria, facilitating gene expr...
() is a widely disseminated betaherpesvirus that typically induces latant infections. In immunocom...
Fungal keratitis is a severe vision-threatening corneal infection with a prognosis influenced by f...
Mycetoma is a chronic and neglected inflammatory disease prevalent in tropical and subtropical reg...
We introduce the ECG-Image-Database, a large and diverse collection of electrocardiogram (ECG) ima...
Rice consistently faces significant threats from biotic stresses, such as fungi, bacteria, pests, an...
Fungal simulation and control are considered crucial techniques in Bio-Art creation. However, codi...
Understanding fungal lipid biology and metabolism is critical for antifungal target discovery as lip...
Coffee leaf rust, a foliar disease caused by the fungus Hemileia vastatrix, poses a major threat t...
This paper introduces FUNGI, Features from UNsupervised GradIents, a method to enhance the feature...
This study proposes CGRclust, a novel combination of unsupervised twin contrastive clustering of C...
High-throughput DNA sequencing technologies decode tremendous amounts of microbial protein-coding ge...