Results 161 to 170 of about 1,009,382 (298)

Integrating Traditional Breeding and Modern Biotechnology for Advanced Forest Tree Improvement. [PDF]

open access: yesInt J Mol Sci
Ma Z   +9 more
europepmc   +1 more source

Effect of clonal testing on the efficiency of genomic evaluation in forest tree breeding. [PDF]

open access: yesSci Rep, 2022
Stejskal J   +4 more
europepmc   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz   +2 more
wiley   +1 more source

Niche Overlap in Forest Tree Species Precludes a Positive Diversity-Productivity Relationship. [PDF]

open access: yesPlants (Basel)
Blackstone KMS   +7 more
europepmc   +1 more source

Forest tree growth is linked to mycorrhizal fungal composition and function across Europe. [PDF]

open access: yesISME J, 2022
Anthony MA   +24 more
europepmc   +1 more source

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +1 more source

Forest Tree and Woody Plant-Based Biosynthesis of Nanoparticles and Their Applications. [PDF]

open access: yesNanomaterials (Basel)
Siam AMJ   +4 more
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy