Real-time release testing of dissolution based on surrogate models developed by machine learning algorithms using NIR spectra, compression force and particle size distribution as input data

Prediction of drug dissolution from Toremifene 80 mg tablets by NIR spectroscopy

(2020) Krista Ojala et al.   INTERNATIONAL JOURNAL OF PHARMACEUTICS

Prediction of Dissolution Profiles From Process Parameters, Formulation, and Spectroscopic Measurements

(2019) Yuxiang Zhao et al.   JOURNAL OF PHARMACEUTICAL SCIENCES

First-Principles and Empirical Approaches to Predicting In Vitro Dissolution for Pharmaceutical Formulation and Process Development and for Product Release Testing

(2019) Nikolay Zaborenko et al.   AAPS Journal

Prediction of Dissolution of Sustained Release Coated Ciprofloxacin Beads Using Near-infrared Spectroscopy and Process Parameters: a Data Fusion Approach

(2019) Ahmed Ibrahim et al.   AAPS PHARMSCITECH

Prediction of dissolution profiles by non-destructive NIR spectroscopy in bilayer tablets

(2019) Yukteshwar Baranwal et al.   INTERNATIONAL JOURNAL OF PHARMACEUTICS

In vivo models and decision trees for formulation development in early drug development: A review of current practices and recommendations for biopharmaceutical development

(2019) P. Zane et al.   EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS

Application of artificial neural networks for Process Analytical Technology-based dissolution testing

(2019) Brigitta Nagy et al.   INTERNATIONAL JOURNAL OF PHARMACEUTICS

Fast, Spectroscopy-Based Prediction of In Vitro Dissolution Profile of Extended Release Tablets Using Artificial Neural Networks

(2019) Galata et al.   Pharmaceutics

Continuous Formulation Approaches of Amorphous Solid Dispersions: Significance of Powder Flow Properties and Feeding Performance

(2019) Edina Szabó et al.   Pharmaceutics

Physicochemical pharmacokinetics as an optimization tool for generic development: A case study

(2018) Stefan Horkovics-Kovats et al.   EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES

Comparison of dissolution time profiles: No similarity but where is the difference?

(2018) Stefan Horkovics-Kovats   EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES

Assessment of mefenamic acid polymorphs in commercial tablets using chemometric coupled to MIR and NIR spectroscopies. Prediction of dissolution performance

(2018) Marina Antonio et al.   JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS

Sigmoid-weighted linear units for neural network function approximation in reinforcement learning

(2018) Stefan Elfwing et al.   NEURAL NETWORKS

Predicting oral disintegrating tablet formulations by neural network techniques

(2018) Run Han et al.   Asian Journal of Pharmaceutical Sciences

Raman Spectroscopy for Process Analytical Technologies of Pharmaceutical Secondary Manufacturing

(2018) Brigitta Nagy et al.   AAPS PHARMSCITECH

Non-destructive prediction of enteric coating layer thickness and drug dissolution rate by near-infrared spectroscopy and X-ray computed tomography

(2017) Aoi Ariyasu et al.   INTERNATIONAL JOURNAL OF PHARMACEUTICS

Dissolution assessment of allopurinol immediate release tablets by near infrared spectroscopy

(2017) Jelena Smetiško et al.   JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS

A Practical Framework Toward Prediction of Breaking Force and Disintegration of Tablet Formulations Using Machine Learning Tools

(2017) Ilgaz Akseli et al.   JOURNAL OF PHARMACEUTICAL SCIENCES

Non-destructive Determination of Disintegration Time and Dissolution in Immediate Release Tablets by Terahertz Transmission Measurements

(2017) Daniel Markl et al.   PHARMACEUTICAL RESEARCH

Enabling real time release testing by NIR prediction of dissolution of tablets made by continuous direct compression (CDC)

(2016) Pallavi Pawar et al.   INTERNATIONAL JOURNAL OF PHARMACEUTICS

Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships

(2016) Robert P. Sheridan et al.   Journal of Chemical Information and Modeling

Prediction of dissolution profiles by non-destructive near infrared spectroscopy in tablets subjected to different levels of strain

(2016) Eduardo Hernandez et al.   JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS

Optimization of Melatonin Dissolution from Extended Release Matrices Using Artificial Neural Networking

(2016) Martarelli D. et al.   Current Drug Delivery

Decision trees to characterise the roles of permeability and solubility on the prediction of oral absorption

(2015) Danielle Newby et al.   EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY

Integration of Near-Infrared Spectroscopy and Mechanistic Modeling for Predicting Film-Coating and Dissolution of Modified Release Tablets

(2015) Huiquan Wu et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Predicting the dissolution behavior of pharmaceutical tablets with NIR chemical imaging

(2015) Ketsia Yekpe et al.   INTERNATIONAL JOURNAL OF PHARMACEUTICS

On-line application of near infrared (NIR) spectroscopy in food production

(2015) Jan U. Porep et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

A Genetic Algorithm Based Support Vector Machine Model for Blood-Brain Barrier Penetration Prediction

(2015) Daqing Zhang et al.   Biomed Research International

Regulatory status on the role ofin vitrodissolution testing in quality control and biopharmaceutics in Europe

(2013) Jobst Limberg et al.   BIOPHARMACEUTICS & DRUG DISPOSITION

In-line monitoring of the drug content of powder mixtures and tablets by near-infrared spectroscopy during the continuous direct compression tableting process

(2013) Kristiina Järvinen et al.   EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES

Prediction of dissolution time and coating thickness of sustained release formulations using Raman spectroscopy and terahertz pulsed imaging

(2012) Joshua Müller et al.   EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS

Optimization of matrix tablets controlled drug release using Elman dynamic neural networks and decision trees

(2012) Jelena Petrović et al.   INTERNATIONAL JOURNAL OF PHARMACEUTICS

In-line prediction of drug release profiles for pH-sensitive coated pellets

(2011) Alexey L. Pomerantsev et al.   ANALYST

Effects of lubricant-mixing time on prolongation of dissolution time and its prediction by measuring near infrared spectra from tablets

(2011) Hiroyuki Abe et al.   DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY

Real-time predictions of drug release and end point detection of a coating operation by in-line near infrared measurements

(2011) Claire Gendre et al.   INTERNATIONAL JOURNAL OF PHARMACEUTICS

Critical factors in the release of drugs from sustained release hydrophilic matrices

(2011) Cristina Maderuelo et al.   JOURNAL OF CONTROLLED RELEASE

Support vector machine regression (LS-SVM)—an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data?

(2011) Roman M. Balabin et al.   PHYSICAL CHEMISTRY CHEMICAL PHYSICS

Optimization of extended-release hydrophilic matrix tablets by support vector regression

(2010) Nizar Al-Zoubi et al.   DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY

Factors affecting drug release from hydroxypropyl methylcellulose matrix systems in the light of classical and percolation theories

(2010) Isidoro Caraballo   Expert Opinion on Drug Delivery

Optimization of Salbutamol Sulfate Dissolution from Sustained Release Matrix Formulations Using an Artificial Neural Network

(2010) Faith Chaibva et al.   Pharmaceutics

Application of dynamic neural networks in the modeling of drug release from polyethylene oxide matrix tablets

(2009) Jelena Petrović et al.   EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES

Pharmaceutical Quality by Design: Product and Process Development, Understanding, and Control

(2008) Lawrence X. Yu   PHARMACEUTICAL RESEARCH

An expeditious method for determining particle size distribution by near infrared spectroscopy: Comparison of PLS2 and ANN models

(2008) M BLANCO et al.   TALANTA