AIMC Topic: Calcium Phosphates
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Optimal structural characteristics of osteoinductivity in bioceramics derived from a novel high-throughput screening plus machine learning approach.
Biomaterials
Apr 16, 2025
Osteoinduction is an important feature of the next generation of bone repair materials. But the key structural factors and parameters of osteoinductive scaffolds are not yet clarified. This study leverages the efficiency of high-throughput screening ...
Real-time component-based particle size measurement and dissolution prediction during continuous powder feeding using machine vision and artificial intelligence-based object detection.
European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Mar 20, 2025
This work presents a system, in which machine vision combined with artificial intelligence-based image analysis was used to determine the component-based particle size distribution of pharmaceutical powder blends. The blends consisted of acetylsalicy...
Machine learning insights into calcium phosphate nucleation and aggregation.
Acta biomaterialia
Feb 18, 2025
In this study, we utilized machine learning interatomic potentials (MLIPs) to investigate the nucleation mechanisms of calcium phosphate, a critical component of bone and teeth. Our analysis encompassed the process from pre-nucleation stage to the gr...
Predictive Modeling of Urinary Stone Composition Using Machine Learning and Clinical Data: Implications for Treatment Strategies and Pathophysiological Insights.
Journal of endourology
May 30, 2024
Preventative strategies and surgical treatments for urolithiasis depend on stone composition. However, stone composition is often unknown until the stone is passed or surgically managed. Given that stone composition likely reflects the physiological...
Effect of Tricalcium Phosphate and Calcium Sucrose Phosphate on the Inhibition of : An Study.
The journal of contemporary dental practice
Dec 1, 2021
AIM: To determine the efficacy of tricalcium phosphate (TCP) and calcium sucrose phosphate (CSP) on the inhibition of .
Artificial Neural Network (ANN) Approach to Predict an Optimized pH-Dependent Mesalamine Matrix Tablet.
Drug design, development and therapy
Jun 22, 2020
BACKGROUND: Severe bleeding and perforation of the colon and rectum are complications of ulcerative colitis which can be treated by a targeted drug delivery system.
Deep learning computer vision algorithm for detecting kidney stone composition.
BJU international
Mar 3, 2020
OBJECTIVES: To assess the recall of a deep learning (DL) method to automatically detect kidney stones composition from digital photographs of stones.
Dose independent characterization of renal stones by means of dual energy computed tomography and machine learning: an ex-vivo study.
European radiology
Nov 26, 2019
OBJECTIVES: To predict the main component of pure and mixed kidney stones using dual-energy computed tomography and machine learning.
Comparison of multi-linear regression, particle swarm optimization artificial neural networks and genetic programming in the development of mini-tablets.
International journal of pharmaceutics
Sep 15, 2018
In the present study, the preparation of pharmaceutical mini-tablets was attempted in the framework of Quality by Design (QbD) context, by comparing traditionally used multi-linear regression (MLR), with artificially-intelligence based regression tec...
Ontogeny and the process of biomineralization in the trichomes of Loasaceae.
American journal of botany
Mar 8, 2017
PREMISE OF THE STUDY: South American Loasaceae have a morphologically complex trichome cover, which is characterized by multiple biomineralization. The current study investigates the ontogeny of these complex trichomes and the process of their biomin...
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