AIMC Topic: Plants, Medicinal

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A Novel Computer Vision Model for Medicinal Plant Identification Using Log-Gabor Filters and Deep Learning Algorithms.

Computational intelligence and neuroscience Sep 27, 2022
Computer vision is the science that enables computers and machines to see and perceive image content on a semantic level. It combines concepts, techniques, and ideas from various fields such as digital image processing, pattern matching, artificial i...
Deep Learning Plants, Medicinal Artificial Intelligence Algorithms Humans Neural Networks, Computer
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Plant phenotype relationship corpus for biomedical relationships between plants and phenotypes.

Scientific data May 26, 2022
Medicinal plants have demonstrated therapeutic potential for applicability for a wide range of observable characteristics in the human body, known as "phenotype," and have been considered favorably in clinical treatment. With an ever increasing inter...
Natural Language Processing PubMed Plants, Medicinal Humans Phenotype
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Optimization of diosgenin extraction from Dioscorea deltoidea tubers using response surface methodology and artificial neural network modelling.

PloS one Jul 21, 2021
INTRODUCTION: Dioscorea deltoidea var. deltoidea (Dioscoreaceae) is a valuable endangered plant of great medicinal and economic importance due to the presence of the bioactive compound diosgenin. In the present study, response surface methodology (RS...
Temperature Models, Theoretical Particle Size Molecular Structure Calibration Neural Networks, Computer Time Dioscorea Solvents Plants, Medicinal Diosgenin Plant Tubers Chemical Fractionation Endangered Species
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Extended application of deep learning combined with 2DCOS: Study on origin identification in the medicinal plant of Paris polyphylla var. yunnanensis.

Phytochemical analysis : PCA Jul 6, 2021
INTRODUCTION: Medicinal plants are very important to human health, and ensuring their quality and rapid evaluation are the current research concerns. Deep learning has a strong ability in recognition. This study extended it to the identification of m...
Melanthiaceae Liliaceae Plants, Medicinal Spectrum Analysis Deep Learning
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Fermented medicinal herbs improve hematological and physiological profile of Striped catfish .

F1000Research Jun 14, 2021
This study sought to determine the effect of fermented medicinal herbs (FMH), cutchery ( ), turmeric ( ) and curcuma ( ) in combination with molasses and probiotic drink (Yakult), administered orally on the hematological and physiological profile of...
Flavonoids Diarylheptanoids Animals Catfishes Blood Proteins Antioxidants Dietary Supplements Plants, Medicinal
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Study on the identification and evaluation of growth years for Paris polyphylla var. yunnanensis using deep learning combined with 2DCOS.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 30, 2021
Paris polyphylla var. yunnanensis, as perennial plants, its quality is closely related to growth period. Different harvest years determine the dry matter accumulation of its medicinal parts and the dynamic accumulation of active ingredients, as well ...
Rhizome Melanthiaceae Deep Learning Plants, Medicinal Liliaceae
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Treasuring the computational approach in medicinal plant research.

Progress in biophysics and molecular biology May 15, 2021
Medicinal plants serve as a valuable source of secondary metabolites since time immemorial. Computational Research in 21st century is giving more attention to medicinal plants for new drug design as pharmacological screening of bioactive compound was...
Software Molecular Docking Simulation Molecular Dynamics Simulation Artificial Intelligence Plants, Medicinal
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Cluster Analysis of Medicinal Plants and Targets Based on Multipartite Network.

Biomolecules Apr 8, 2021
Network-based methods for the analysis of drug-target interactions have gained attention and rely on the paradigm that a single drug can act on multiple targets rather than a single target. In this study, we have presented a novel approach to analyze...
Plants, Medicinal Databases, Chemical Receptors, Androgen 3-Oxo-5-alpha-Steroid 4-Dehydrogenase Cluster Analysis Pharmaceutical Preparations Neural Networks, Computer Algorithms
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Machine Learning Technology Reveals the Concealed Interactions of Phytohormones on Medicinal Plant In Vitro Organogenesis.

Biomolecules May 11, 2020
Organogenesis constitutes the biological feature driving plant in vitro regeneration, in which the role of plant hormones is crucial. The use of machine learning (ML) technology stands out as a novel approach to characterize the combined role of two ...
Kalanchoe Indoleacetic Acids Machine Learning Purines Plant Growth Regulators Plants, Medicinal Benzyl Compounds Organogenesis
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Discrimination of and Its Related Species Using IR Spectroscopy Combined with Feature Selection and Stacked Generalization.

Molecules (Basel, Switzerland) Mar 23, 2020
, which is one of the largest genera of Gentianoideae, most of which had potential pharmaceutical value, and applied to local traditional medical treatment. Because of the phytochemical diversity and difference of bioactive compounds among species, w...
Plants, Medicinal Gentiana Support Vector Machine Spectroscopy, Fourier Transform Infrared
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