Fungal Infection

Mechanistic Insights into Effector-Mediated Modulation of Rice Mitochondrial Proteins by Magnaporthe oryzae.

Mitochondria are crucial for the plant and animal immunity. The effector protein MoCDIP4 reduces rice immunity by targeting the mitochondria-associated OsDjA9-OsDRP1E protein complex. The present study is focussed on how Magnaporthe oryzae, the fungus that causes rice blast disease, affects mitochondrial dynamics and inhibits innate immune responses in rice plants using molecular modelling, molecu...

Microbiome-based control of postharvest mycotoxin-producing fungi in cereals.

Mycotoxin contamination caused by fungal pathogens remains a persistent threat to global food security, while the long-standing reliance on synthetic fungicides is increasingly challenged by resistance development and toxicological concerns. Here, we synthesize current knowledge on mycotoxin ecology and present to our knowledge, for the first time an integrated functional framework linking posthar...

Predicting the seed microbiome using phylogeny-driven machine learning.

BACKGROUND: The composition of the seed-associated bacterial microbiome can reflect host evolutionary relationships, a pattern consistent with phylosy...

A low-cost "plant-scanner" platform for automated detection of Ustilago maydis infection in maize using deep learning.

Ustilago maydis is a biotrophic fungus that causes smut disease in maize, leading to tumor formation on aerial parts of the plant. While U. maydis has...

Machine learning-enabled label-free SERS for microbial sensing: Toward robust, generalizable, and deployable workflows.

Label-free surface-enhanced Raman spectroscopy (SERS) combined with machine learning (ML) provides a rapid, reagent-light approach to microbial detect...

Novel Imaging Approaches for Visualising Root-Mycorrhizal Fungal Interactions.

Mycorrhizal fungi form essential symbiotic relationships with plant roots, facilitating nutrient exchange and promoting plant health. Understanding th...

Automated identification of clinically important Candida yeast species for microscopic images using self-supervised learning.

Opportunistic fungal infections are an escalating global challenge, impacting over a billion people worldwide, particularly immunocompromised individu...

Rapid species authentication and protein prediction of porcini mushrooms using FTIR-2DCOS coupled with deep learning.

Edible fungi are highly valued worldwide for their unique culinary and therapeutic properties. Nevertheless, the pronounced morphological similarities...

From manual scoring to machine learning: recent developments in image-based arbuscular mycorrhizal fungi root quantification.

Selecting an appropriate method to quantify arbuscular mycorrhizal fungi (AMF) colonization in plants can be challenging, particularly for non-experts...

Optimizing lung cancer diagnosis using improved fungal growth optimizer-based medical image segmentation.

Medical image segmentation is one of the most important processes in computer-aided diagnosis. It plays a critical role in detecting and analyzing dis...

A review of bloodstream infections-pathogens, pathogenesis, diagnostic strategies, treatment methods-challenges and future aspects.

PURPOSE: Bloodstream infections (BSIs) remain a major cause of morbidity and mortality worldwide and continue to represent a substantial challenge to ...

Deep learning analysis of 12-lead electrocardiograms for bloodstream infection prediction: a multi-center validation study.

BACKGROUND: Prompt diagnosis of bloodstream infections (BSIs) is critical for antimicrobial stewardship but hindered by blood culture delays of 48 h o...

Enhancing the severity classification of tomato plant epidemic pathogens using adaptive segmentation of mask RCNN and multiscale recurrent MobileNet.

Tomatoes are the most significant and widely consumed crops globally. Leaf diseases cause an important threat to crop production and quality. Further,...

Integrative network toxicology, multiomics, and machine learning elucidate zearalenone-induced developmental toxicity mechanisms in zebrafish (Danio rerio).

Zearalenone (ZEN) is a naturally occurring environmental contaminant that is produced by fungi. Developing animals are particularly sensitive to ZEN, ...

IL4Rα blockade inhibits proliferation of malignant lymphocytes and the immunosuppressive tumor microenvironment of mycosis fungoides.

BACKGROUND: Limited therapeutic options are available for patients with advanced-stage mycosis fungoides (MF), and the 5-year survival rate is 25%. Du...

Discovery of novel antimicrobials within microbiomes.

Antimicrobial-resistant bacterial and fungal pathogens constitute a severe threat to public health. The pace at which new antimicrobials are being rel...

IVCM-Insight: automated interactive interpretation of in vivo confocal microscopy.

In vivo confocal microscopy (IVCM) is a critical ophthalmic examination that provides in vivo cytological and neurological information essential for d...

A Novel ConvNeXtV2-MIL Approach for Accurate and Efficient Classification of Microscopic Fungal Morphology.

Fungal infections, especially in people with weakened immune systems, are a significant global health burden. Accurate identification of fungal morpho...

Swin-SHARP: a novel approach to wheat disease classification using boosted MAML and weighted ensembling with deep learning classifiers.

The global food security is severely threatened by various bacterial and fungal diseases that significantly degrade the quality, yield and productivit...

Artificial intelligence-based phenotypic screening using Aspergillus oryzae identified a novel antifungal RK-1205-I.

When treated with various compounds, fungi exhibit characteristic morphological changes depending on their mode of action. Previously, we constructed ...