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bioRxiv
October 2024
Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA 92093.
Kidney disease, the ninth leading cause of death in the United States, has one of the poorest diagnostic efficiencies of only 10%. Conventional diagnostic methods often rely on light microscopy analysis of 2D fixed tissue sections with limited molecular insight compared to omics studies. Targeting multiple features in a biopsy using molecular or chemical reagents can enhance molecular phenotyping but are limited by overlap of their spatial and chromatic properties, variations in quality of the products, limited multimodal nature and need additional tissue processing.
View Article and Find Full Text PDFSci Rep
October 2024
Department of Mathematics, Suresh Gyan Vihar University, Jaipur, Rajasthan, India.
Sensors (Basel)
October 2024
U.S. Arid-Land Agricultural Research Center, U.S. Department of Agriculture, Agricultural Research Service, Maricopa, AZ 85138, USA.
Efficient and affordable plant phenotyping methods are an essential response to global climatic pressures. This study demonstrates the continued potential of consumer-grade photography to capture plant phenotypic traits in turfgrass and derive new calculations. Yet the effects of image corrections on individual calculations are often unreported.
View Article and Find Full Text PDFHum Brain Mapp
December 2023
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
This work proposes a novel generative multimodal approach to jointly analyze multimodal data while linking the multimodal information to colors. We apply our proposed framework, which disentangles multimodal data into private and shared sets of features from pairs of structural (sMRI), functional (sFNC and ICA), and diffusion MRI data (FA maps). With our approach, we find that heterogeneity in schizophrenia is potentially a function of modality pairs.
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