AI Medical Compendium Journal:
Applied biochemistry and biotechnology

Showing 1 to 8 of 8 articles

Artificial Neural Network-Based Validation, DFT, Thermal and Biological Evaluation of 4-Aminoantipyrine-Derived Ru(III) Complexes.

Applied biochemistry and biotechnology Jan 17, 2025
New methodologies have been evaluated for validating analytical characterization with artificial neural networks (ANNs). Compared to previous machine learning models, these provide more accurate and automated results with high testing accuracy. The S...
Antineoplastic Agents Antifungal Agents Neural Networks, Computer Anti-Bacterial Agents Ruthenium Humans Ampyrone Density Functional Theory Coordination Complexes
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Optimal Enzyme-Assisted Extraction of Phenolics from Leaves of Pongamia pinnata via Response Surface Methodology and Artificial Neural Networking.

Applied biochemistry and biotechnology Feb 22, 2024
This research work seeks to evaluate the impact of selected enzyme complexes on the optimised release of phenolics from leaves of Pongamia pinnata. After preliminary solvent extraction, the P. pinnata leaf extract was subjected to enzymatic treatment...
Neural Networks, Computer Flavonoids Millettia Phenols Antioxidants Plant Extracts Plant Leaves
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Soil Moisture and Heat Level Prediction for Plant Health Monitoring Using Deep Learning with Gannet Namib Beetle Optimization in IoT.

Applied biochemistry and biotechnology Aug 3, 2023
Plant health monitoring is crucial in ensuring a constant food supply to satisfy the growing demand for food. Hence, it is essential to monitor plant health to maximize the yield and minimize the risk of various diseases. Soil moisture and temperatur...
Water Plants Deep Learning Coleoptera Internet of Things Hot Temperature Soil Animals
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Soft Sensor Modeling Method Based on Improved KH-RBF Neural Network Bacteria Concentration in Marine Alkaline Protease Fermentation Process.

Applied biochemistry and biotechnology May 4, 2022
Marine alkaline protease (MAP) fermentation is a complex multivariable, multi-coupled, and nonlinear process. Some unmeasured parameters will affect the quality of protease. Aiming at the problem that some parameters are difficult to be detected onli...
Endopeptidases Fermentation Neural Networks, Computer Bacteria Algorithms Bacterial Proteins
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Prediction of Micronucleus Assay Outcome Using In Vivo Activity Data and Molecular Structure Features.

Applied biochemistry and biotechnology Oct 20, 2021
In vivo micronucleus assay is the widely used genotoxic test to determine the extent of chromosomal aberrations caused by the chemicals in human beings, which plays a significant role in the drug discovery paradigm. To reduce the uncertainties of the...
Humans Machine Learning Models, Biological Biological Assay Micronucleus Tests Animals Databases, Factual Molecular Structure Computer Simulation
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Antibiofilm Activity of α-Amylase from Bacillus subtilis and Prediction of the Optimized Conditions for Biofilm Removal by Response Surface Methodology (RSM) and Artificial Neural Network (ANN).

Applied biochemistry and biotechnology Mar 1, 2021
α-amylase is known to have antibiofilm activity against biofilms of both Gram positive and Gram-negative bacterial strains. Partially purified α-amylase from Bacillus subtilis was found to have inhibit biofilm formed by P. aeruginosa and S. aureus. T...
Pseudomonas aeruginosa alpha-Amylases Bacterial Proteins Hydrogen-Ion Concentration Bacillus subtilis Neural Networks, Computer Biofilms Staphylococcus aureus
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Prediction of Skin Disease with Three Different Feature Selection Techniques Using Stacking Ensemble Method.

Applied biochemistry and biotechnology Dec 16, 2019
Skin disease is the most common problem between people. Due to pollution and deployment of ozone layer, harmful UV rays of sun burn the skin and develop various types of skin diseases. Nowadays, machine learning and deep learning algorithms are gener...
Humans Support Vector Machine Skin Diseases Machine Learning Bayes Theorem Diagnosis, Computer-Assisted Algorithms
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Envisaging the Regulation of Alkaloid Biosynthesis and Associated Growth Kinetics in Hairy Roots of Vinca minor Through the Function of Artificial Neural Network.

Applied biochemistry and biotechnology Dec 3, 2015
Artificial neural network based modeling is a generic approach to understand and correlate different complex parameters of biological systems for improving the desired output. In addition, some new inferences can also be predicted in a shorter time w...
Vinca Neural Networks, Computer Plant Roots Alkaloids
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