Latest AI and machine learning research in fungal infection for healthcare professionals.
Infectious keratitis refers to a group of corneal disorders in which corneal tissues suffer inflamma...
BACKGROUND: Cryptococcosis and talaromycosis are known as 'neglected epidemics' due to their high ca...
Biofilms are one of the leading causes of antibiotic resistance. It acts as a physical barrier again...
Increasing fungicide dose tends to lead to better short-term control of plant diseases. However, hig...
Although PNLB is generally considered safe, it is still invasive and risky. Pneumothorax, the most c...
Bacteria often grow into matrix-encased three-dimensional (3D) biofilm communities, which can be ima...
Improving the growth status of Aspergillus oryzae is an efficient way to enhance L-malate production...
Cytochrome P450 enzymes aid in the elimination of a preponderance of small molecule drugs, but can g...
Artificial intelligence (AI) proves decisive in today's rapidly developing society and is a motive f...
We present the first implementation of the monitoring of airborne fungal spores in real-time using d...
The current study explores an artificial intelligence framework for measuring the structural feature...
AIM: To estimate the automated biofilm detection capacity of the U-Net neural network on tooth image...
A high sugar concentration is used as a starting condition in alcoholic fermentation by budding yeas...
Mycosis Fungoides (MF) makes up the most of the cutaneous lymphomas. As a malignant disease, the gre...
Accurate detection and segmentation of single cells in three-dimensional (3D) fluorescence time-laps...
The spot assay of the budding yeast Saccharomyces cerevisiae is an experimental method that is used ...
Antimicrobial peptides (AMPs) are short peptides with a broad spectrum of antimicrobial activity. Th...
Micrograph comparison remains useful in bioscience. This technology provides researchers with a quic...
By utilizing their powerful metabolic versatility, filamentous fungi can be utilized in bioprocesses...
This study presents the Slime Mold Algorithm (SMA) to solve the time-cost-quality trade-off problem ...
Although Alternaria spores are well-known allergenic fungal spores, automatic bioaerosol recognition...