Results 181 to 190 of about 475,966 (276)

IoT-Integrated robotic system for automated plant disease detection and environmental monitoring. [PDF]

Sci Rep
Talaat FM, Ibrahim MA, Karim AA, Elsonbaty HK, Al-Zoghby AM.   +4 more
europepmc   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

A review of deep learning architectures for plant disease detection. [PDF]

Turk J Biol
Kaya Y, Gürsoy E.
europepmc   +1 more source

Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma

Molecular Oncology, EarlyView.
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra, Lucca Paolo Hsu Helmich, Daniel Rodrigues de Bastos, Laura Sichero, Patrícia Savio de Araujo‐Souza, Fabio Passetti, Luisa Lina Villa   +6 more
wiley   +1 more source

Intelligent smart sensing with ResNet-PCA and hybrid ML-DNN for sustainable and accurate plant disease detection. [PDF]

Front Plant Sci
Alsubai S, Almadhor A, Al Hejaili A, Gadekallu TR.   +3 more
europepmc   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gabor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Plant disease detection using a hybrid dilated CNN with attention mechanisms and optimized mask RCNN segmentation. [PDF]

Sci Rep
Sahu K, Tiwari S, Singh MK, Pahareeya J, Shakya HK, Kumar G, Selvarajan S.   +6 more
europepmc   +1 more source

Plant Parenting and Diseases Detection

INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
ABSTRACT - Plant diseases pose a critical challenge to agricultural productivity worldwide. Early and accurate diagnosis of plant diseases is essential for ensuring food security and minimizing economic losses. This project presents a deep learning-based solution to detect plant diseases using Convolutional Neural Networks (CNNs).
openaire   +1 more source

RIPK4 function interferes with melanoma cell adhesion and metastasis

Molecular Oncology, EarlyView.
RIPK4 promotes melanoma growth and spread. RIPK4 levels increase as skin lesions progress to melanoma. CRISPR/Cas9‐mediated deletion of RIPK4 causes melanoma cells to form less compact spheroids, reduces their migratory and invasive abilities and limits tumour growth and dissemination in mouse models.
Norbert Wronski, Sławomir Lasota, Ewelina Madej, Anna A. Brożyna, Małgorzata Szczygieł, Agnieszka Harazin‐Lechowska, Jan Czerbniak, Janusz Rys, Jaroslaw Czyz, Agnieszka Wolnicka‐Glubisz   +9 more
wiley   +1 more source

An efficient plant disease detection using transfer learning approach. [PDF]

Sci Rep
Sambana B, Nnadi HS, Wajid MA, Fidelia NO, Camacho-Zuñiga C, Ajuzie HD, Onyema EM.   +6 more
europepmc   +1 more source