Infectious Disease

Fungal Infection

Latest AI and machine learning research in fungal infection for healthcare professionals.

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Showing 484-504 of 5,155 articles
Interpretable deep learning for diagnosis of fungal and acanthamoeba keratitis using in vivo confocal microscopy images.

Infectious keratitis refers to a group of corneal disorders in which corneal tissues suffer inflamma...

Jun 2023 37268665
Application of deep learning algorithm in the recognition of cryptococcosis and talaromycosis skin lesions.

BACKGROUND: Cryptococcosis and talaromycosis are known as 'neglected epidemics' due to their high ca...

May 2023 37132426
Coupling machine learning and epidemiological modelling to characterise optimal fungicide doses when fungicide resistance is partial or quantitative.

Increasing fungicide dose tends to lead to better short-term control of plant diseases. However, hig...

Apr 2023 37073520
Pneumothorax prediction using a foraging and hunting based ant colony optimizer assisted support vector machine.

Although PNLB is generally considered safe, it is still invasive and risky. Pneumothorax, the most c...

Apr 2023 37207406
Single-cell segmentation in bacterial biofilms with an optimized deep learning method enables tracking of cell lineages and measurements of growth rates.

Bacteria often grow into matrix-encased three-dimensional (3D) biofilm communities, which can be ima...

Apr 2023 37066636
Engineering growth phenotypes of Aspergillus oryzae for L-malate production.

Improving the growth status of Aspergillus oryzae is an efficient way to enhance L-malate production...

Apr 2023 38647943
Message Passing Neural Networks Improve Prediction of Metabolite Authenticity.

Cytochrome P450 enzymes aid in the elimination of a preponderance of small molecule drugs, but can g...

Mar 2023 36926871
Research on Supply Chain Financial Risk Prevention Based on Machine Learning.

Artificial intelligence (AI) proves decisive in today's rapidly developing society and is a motive f...

Mar 2023 36923907
Automatic real-time monitoring of fungal spores: the case of spp.

We present the first implementation of the monitoring of airborne fungal spores in real-time using d...

Feb 2023 38766603
Artificial Intelligence-Driven Image Analysis of Bacterial Cells and Biofilms.

The current study explores an artificial intelligence framework for measuring the structural feature...

Feb 2023 34951852
Automatic dental biofilm detection based on deep learning.

AIM: To estimate the automated biofilm detection capacity of the U-Net neural network on tooth image...

Jan 2023 36635042
Prediction of ethanol fermentation under stressed conditions using yeast morphological data.

A high sugar concentration is used as a starting condition in alcoholic fermentation by budding yeas...

Jan 2023 36642617
Deep learning as a new tool in the diagnosis of mycosis fungoides.

Mycosis Fungoides (MF) makes up the most of the cutaneous lymphomas. As a malignant disease, the gre...

Dec 2022 36571610
BCM3D 2.0: accurate segmentation of single bacterial cells in dense biofilms using computationally generated intermediate image representations.

Accurate detection and segmentation of single cells in three-dimensional (3D) fluorescence time-laps...

Dec 2022 36529755
Automation of yeast spot assays using an affordable liquid handling robot.

The spot assay of the budding yeast Saccharomyces cerevisiae is an experimental method that is used ...

Dec 2022 36503082
Machine learning and molecular simulation ascertain antimicrobial peptide against Klebsiella pneumoniae from public database.

Antimicrobial peptides (AMPs) are short peptides with a broad spectrum of antimicrobial activity. Th...

Dec 2022 36516617
BASIN: A Semi-automatic Workflow, with Machine Learning Segmentation, for Objective Statistical Analysis of Biomedical and Biofilm Image Datasets.

Micrograph comparison remains useful in bioscience. This technology provides researchers with a quic...

Dec 2022 36463932
Automation and artificial intelligence in filamentous fungi-based bioprocesses: A review.

By utilizing their powerful metabolic versatility, filamentous fungi can be utilized in bioprocesses...

Nov 2022 36462761
Utilizing artificial intelligence to solving time - cost - quality trade-off problem.

This study presents the Slime Mold Algorithm (SMA) to solve the time-cost-quality trade-off problem ...

Nov 2022 36418454
Alternaria spore exposure in Bavaria, Germany, measured using artificial intelligence algorithms in a network of BAA500 automatic pollen monitors.

Although Alternaria spores are well-known allergenic fungal spores, automatic bioaerosol recognition...

Nov 2022 36403848
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