Results 211 to 220 of about 138,038 (297)
This study investigates the genetic and microbial factors influencing the susceptibility of Diaphorina citri to the citrus greening pathogen Candidatus Liberibacter asiaticus (CLas), employing a microbiome Genome Wide Association Study. The research identifies a key gene encoding an MFS‐type transporter contributing to CLas infectivity and abundance in
Kai Liu +12 more
wiley +1 more source
Lightweight deep learning for tomato disease detection: trends, challenges, and edge AI perspectives. [PDF]
Gunasekaran H +2 more
europepmc +1 more source
ABSTRACT Gut microbiota dysbiosis promotes colorectal cancer (CRC) tumorigenesis. A global fecal metagenomic analysis identified Gemella morbillorum as a key contributor to the CRC‐associated microbiota. Fluorescence in situ hybridization revealed that Gemella morbillorum is enriched in CRC tumor tissues compared to adjacent normal tissues.
Zhen Wang +8 more
wiley +1 more source
Atypical enteropathogenic <i>Escherichia coli</i> associated with an acute diarrhoeal disease outbreak due to fermented soybean in Keifang, Mizoram, India: a challenge toward food safety and prevention efforts. [PDF]
Roy S +11 more
europepmc +1 more source
This study developed a hierarchical targeting nanoplatform, siTREM2@ETP‐PEOz‐OMVs, against triple‐negative breast cancer (TNBC) bone metastasis. It precisely delivers therapeutic siTREM2 to monocytes/macrophages within the metastatic niche. This intervention dually regulates cell fate: reprogramming immunosuppressive macrophages and inhibiting ...
Fanglu Chen +12 more
wiley +1 more source
This study performs pan‐viromic profiling of 14,529 samples from 5,710 domestic herbivores across five Chinese provinces, establishing the DhCN‐Virome (1,085,360 viral metagenomes). It reveals species/sample‐specific viromic signatures and cross‐species transmission dynamics, aiding unified disease control.
Yue Sun +19 more
wiley +1 more source
Development of a unified deep learning approach integrating CNN-based local and ViT-based global feature extraction for enhanced cotton disease and pest classification. [PDF]
Dhruw LK +5 more
europepmc +1 more source
This study analyzes gut bacteria in cholangiocarcinoma patients, revealing distinct microbial signatures that enable accurate disease detection. Species‐based diagnostic models achieved over 98% accuracy in identifying cholangiocarcinoma and distinguished it from other liver diseases. The research demonstrates that specific beneficial bacteria suppress
Benchen Rao +18 more
wiley +1 more source
MoringaLeafNet: A multi-class leaf disease dataset for precision agriculture and deep learning research. [PDF]
Preanto SA, Paul T, Khan A, Bijoy MHI.
europepmc +1 more source
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka +3 more
wiley +1 more source

