84
Views
84
CrossRef citations to date
0
Altmetric
Research Article

Artificial Neural Networks: Implications for Pharmaceutical Sciences

, &
Pages 119-155 | Published online: 20 Oct 2008

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (13)

Sunil Kumar. (2020) Comparison of linear regression and artificial neural network technique for prediction of a soybean biodiesel yield. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 42:12, pages 1425-1435.
Read now
P. Madhu, M. M. Matheswaran & G. Periyanayagi. (2017) Optimization and characterization of bio-oil produced from cotton shell by flash pyrolysis using artificial neural network. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 39:23, pages 2173-2180.
Read now
Khalid M. El-Say, Tarek A. Ahmed, Shaimaa M. Badr-Eldin, Usama Fahmy, Hibah Aldawsari & Osama A. A. Ahmed. (2015) Enhanced permeation parameters of optimized nanostructured simvastatin transdermal films: ex vivo and in vivo evaluation. Pharmaceutical Development and Technology 20:8, pages 919-926.
Read now
Valence M. K. Ndesendo, Viness Pillay, Yahya E. Choonara, Lisa C. du Toit, Pradeep Kumar, Eckhart Buchmann, Leith C.R. Meyer & Riaz A. Khan. (2012) Optimization of a polymer composite employing molecular mechanic simulations and artificial neural networks for a novel intravaginal bioadhesive drug delivery device. Pharmaceutical Development and Technology 17:4, pages 407-420.
Read now
Huixian Wei, Fang Zhong, Jianguo Ma & Zhengwu Wang. (2008) Formula Optimization of Emulsifiers for Preparation of Multiple Emulsions Based on Artificial Neural Networks. Journal of Dispersion Science and Technology 29:3, pages 319-326.
Read now
Huijun Xie, Yong Gan, Suwei Ma, Li Gan & Qinghua Chen. (2008) Optimization and Evaluation of Time-Dependent Tablets Comprising an Immediate and Sustained Release Profile Using Artificial Neural Network. Drug Development and Industrial Pharmacy 34:4, pages 363-372.
Read now
Névine Rizkalla & Patrice Hildgen. (2005) Artificial Neural Networks: Comparison of Two Programs for Modeling a Process of Nanoparticle Preparation. Drug Development and Industrial Pharmacy 31:10, pages 1019-1033.
Read now
R. Kuppuswamy, S. R. Anderson, S. W. Hoag & L. L. Augsburger. (2001) Practical Limitations of Tableting Indices. Pharmaceutical Development and Technology 6:4, pages 505-520.
Read now
Yixin Chen, Shilpa S. Thosar, Reba A. Forbess, Mark S. Kemper, Ronald L. Rubinovitz & Atul J. Shukla. (2001) Prediction of Drug Content and Hardness of Intact Tablets Using Artificial Neural Network and Near-Infrared Spectroscopy. Drug Development and Industrial Pharmacy 27:7, pages 623-631.
Read now
Tao Wu, Weisan Pan, Jimin Chen & Ruhua Zhang. (2000) Formulation Optimization Technique Based on Artificial Neural Network in Salbutamol Sulfate Osmotic Pump Tablets. Drug Development and Industrial Pharmacy 26:2, pages 211-215.
Read now
K. Rocksloh, F.-R. Rapp, S. Abu Abed, W. Müller, M. Reher, G. Gauglitz & P. C. Schmidt. (1999) Optimization of Crushing Strength and Disintegration Time of a High-Dose Plant Extract Tablet by Neural Networks. Drug Development and Industrial Pharmacy 25:9, pages 1015-1025.
Read now
Nkere K. Ebube, Troy McCall, Yixin Chen & Marvin C. Meyer. (1997) Relating Formulation Variables to in Vitro Dissolution Using an Artificial Neural Network. Pharmaceutical Development and Technology 2:3, pages 225-232.
Read now
Jacques Bourquin, Heinz Schmidli, Peter van Hoogevest & Hans Leuenberger. (1997) Basic Concepts of Artificial Neural Networks (ANN) Modeling in the Application to Pharmaceutical Development. Pharmaceutical Development and Technology 2:2, pages 95-109.
Read now

Articles from other publishers (71)

Jelena Djuris, Svetlana Ibric & Zorica Đurić. 2024. Computer-Aided Applications in Pharmaceutical Technology. Computer-Aided Applications in Pharmaceutical Technology 125 197 .
Zachary F. Greenberg, Kiley S. Graim & Mei He. (2023) Towards artificial intelligence-enabled extracellular vesicle precision drug delivery. Advanced Drug Delivery Reviews 199, pages 114974.
Crossref
Momina Zarish Khan, Rabia Ismail Yousuf, Muhammad Harris Shoaib, Farrukh Rafiq Ahmed, Muhammad Talha Saleem, Fahad Siddiqui & Syed Adnan Rizvi. (2023) A hybrid framework of artificial intelligence-based neural network model (ANN) and central composite design (CCD) in quality by design formulation development of orodispersible moxifloxacin tablets: Physicochemical evaluation, compaction analysis, and its in-silico PBPK modeling. Journal of Drug Delivery Science and Technology 82, pages 104323.
Crossref
Yingxue Fu, Yuqiu Chen, Chuntao Zhang, Yang Lei & Xinyan Liu. (2023) Prediction surface tension of ionic liquid–water mixtures using a hybrid group contribution and artificial neural network method. Fluid Phase Equilibria 563, pages 113571.
Crossref
Akbar Hasanzadeh, Michael R. Hamblin, Jafar Kiani, Hamid Noori, Joseph M. Hardie, Mahdi Karimi & Hadi Shafiee. (2022) Could artificial intelligence revolutionize the development of nanovectors for gene therapy and mRNA vaccines?. Nano Today 47, pages 101665.
Crossref
Dong-Hyuk Kim, Ha-Yeong Kim, Ki-Hoon Moon & Jin-Hoon Jeong. (2022) Prediction of Fracture Toughness of Intermediate Layer of Asphalt Pavements Using Artificial Neural Network. Sustainability 14:13, pages 7927.
Crossref
Mohamad Afiq Mohd Asrul, Mohd Farid Atan, Hafizah Abdul Halim Yun & Josephine Chang Hui Lai. (2022) A review of advanced optimization strategies for fermentative biohydrogen production processes. International Journal of Hydrogen Energy 47:38, pages 16785-16804.
Crossref
Sayani Bhattacharyya & Kavya H. Ramakrishna. (2022) USE OF ARTIFICIAL INTELLIGENCE IN IN SILICO DRUG DISCOVERY OF PHARMACEUTICALS. INDIAN DRUGS 58:12, pages 7-15.
Crossref
Debadri Banerjee, Deepti Rajput, Surojit Banerjee & Vikas Anand Saharan. 2022. Computer Aided Pharmaceutics and Drug Delivery. Computer Aided Pharmaceutics and Drug Delivery 309 380 .
Héloïse Ragelle, Sima Rahimian, Elia A. Guzzi, Peter D. Westenskow, Mark W. Tibbitt, Grégoire Schwach & Robert Langer. (2021) Additive manufacturing in drug delivery: Innovative drug product design and opportunities for industrial application. Advanced Drug Delivery Reviews 178, pages 113990.
Crossref
Dong-Hyuk Kim, Sang-Jik Lee, Ki-Hoon Moon & Jin-Hoon Jeong. (2021) Prediction of Indirect Tensile Strength of Intermediate Layer of Asphalt Pavements Using Artificial Neural Network Model. Arabian Journal for Science and Engineering 46:5, pages 4911-4922.
Crossref
Marta F. Simões, Gabriel Silva, Ana C. Pinto, Marlene Fonseca, Nuno E. Silva, Rui M.A. Pinto & Sérgio Simões. (2020) Artificial neural networks applied to quality-by-design: From formulation development to clinical outcome. European Journal of Pharmaceutics and Biopharmaceutics 152, pages 282-295.
Crossref
Lorenzo Gentiluomo, Dierk Roessner & Wolfgang Frieß. (2020) Application of machine learning to predict monomer retention of therapeutic proteins after long term storage. International Journal of Pharmaceutics 577, pages 119039.
Crossref
Özlem Kışlal Saraçoğlu, Mecit Orhan Uludağ, Elif Derya Özdemir & İsmail Tuncer Değim. (2020) Development of controlled release dexketoprofen tablets and prediction of drug release using Artificial Neural Network (ANN) modelling. Brazilian Journal of Pharmaceutical Sciences 56.
Crossref
Awanish Kumar, Shraddha Gupta & Dhakshinamoorthy Vasanth. 2020. Advanced Biopolymeric Systems for Drug Delivery. Advanced Biopolymeric Systems for Drug Delivery 183 193 .
Anthony J. Hickey & Hugh D.C. SmythAnthony J. Hickey & Hugh D. C. Smyth. 2020. Pharmaco-complexity. Pharmaco-complexity 31 38 .
Parichehr Hassanzadeh, Fatemeh Atyabi & Rassoul Dinarvand. (2019) The significance of artificial intelligence in drug delivery system design. Advanced Drug Delivery Reviews 151-152, pages 169-190.
Crossref
Lorenzo Gentiluomo, Dierk Roessner, Dillen Augustijn, Hristo Svilenov, Alina Kulakova, Sujata Mahapatra, Gerhard Winter, Werner Streicher, Åsmund Rinnan, Günther H.J. Peters, Pernille Harris & Wolfgang Frieß. (2019) Application of interpretable artificial neural networks to early monoclonal antibodies development. European Journal of Pharmaceutics and Biopharmaceutics 141, pages 81-89.
Crossref
Miguel O. Jara, Johanna Catalan-Figueroa, Mariana Landin & Javier O. Morales. (2017) Finding key nanoprecipitation variables for achieving uniform polymeric nanoparticles using neurofuzzy logic technology. Drug Delivery and Translational Research 8:6, pages 1797-1806.
Crossref
Ying Fei Li & Venkat Venkatasubramanian. (2017) Neural Network to Understand Process Capability and Process Intermediates Acceptance Criteria in Monoclonal Antibody Production Process. Journal of Pharmaceutical Innovation 13:1, pages 36-47.
Crossref
Bahareh Baghaei, Mohammad Reza Saeb, Seyed Hassan Jafari, Hossein Ali Khonakdar, Babak Rezaee, Vahabodin Goodarzi & Yousef Mohammadi. (2017) Modeling and closed-loop control of particle size and initial burst of PLGA biodegradable nanoparticles for targeted drug delivery. Journal of Applied Polymer Science 134:33, pages 45145.
Crossref
Anna Abbadessa, Mariana Landín, Erik Oude Blenke, Wim E. Hennink & Tina Vermonden. (2017) Two-component thermosensitive hydrogels: Phase separation affecting rheological behavior. European Polymer Journal 92, pages 13-26.
Crossref
Aydin Salimiasl & Ahmet Özdemir. (2016) Analyzing the performance of artificial neural network (ANN)-, fuzzy logic (FL)-, and least square (LS)-based models for online tool condition monitoring. The International Journal of Advanced Manufacturing Technology 87:1-4, pages 1145-1158.
Crossref
M. Sebastian Escotet-Espinoza, Amanda Rogers & Marianthi G. Ierapetritou. 2016. Process Simulation and Data Modeling in Solid Oral Drug Development and Manufacture. Process Simulation and Data Modeling in Solid Oral Drug Development and Manufacture 281 309 .
Yugyung Lee, Alok Khemka, Gayathri Acharya, Namita Giri & Chi H. Lee. (2015) A cascade computer model for mocrobicide diffusivity from mucoadhesive formulations. BMC Bioinformatics 16:1.
Crossref
Mohammad Reza Zaki, Jaleh Varshosaz & Milad Fathi. (2015) Preparation of agar nanospheres: Comparison of response surface and artificial neural network modeling by a genetic algorithm approach. Carbohydrate Polymers 122, pages 314-320.
Crossref
Jelena B. Golubović, Ana D. Protić, Mira L. Zečević & Biljana M. Otašević. (2015) Quantitative structure retention relationship modeling in liquid chromatography method for separation of candesartan cilexetil and its degradation products. Chemometrics and Intelligent Laboratory Systems 140, pages 92-101.
Crossref
Ashwinkumar D. Patel, Anjali Agrawal & Rutesh H. Dave. (2014) Investigation of the effects of process variables on derived properties of spray dried solid-dispersions using polymer based response surface model and ensemble artificial neural network models. European Journal of Pharmaceutics and Biopharmaceutics 86:3, pages 404-417.
Crossref
Jerneja Opara & Igor Legen. (2014) Neuro-fuzzy Models as an IVIVR Tool and Their Applicability in Generic Drug Development. The AAPS Journal 16:2, pages 324-334.
Crossref
P. Karthic, Shiny Joseph, Naveenji Arun, Lity Alen Varghese & A. Santhiagu. (2013) Biohydrogen production using anaerobic mixed bacteria: Process parameters optimization studies. Journal of Renewable and Sustainable Energy 5:6, pages 063103.
Crossref
P. Karthic, Shiny Joseph, Naveenji Arun & S. Kumaravel. (2013) Optimization of biohydrogen production by Enterobacter species using artificial neural network and response surface methodology . Journal of Renewable and Sustainable Energy 5:3.
Crossref
Zhouhua Wang, Zixin He, Lei Zhang, Haohao Zhang, Meimei Zhang, Xinguo Wen, Guilan Quan, Xintian Huang, Xin Pan & Chuanbin Wu. (2013) Optimization of a doxycycline hydroxypropyl-β-cyclodextrin inclusion complex based on computational modeling. Acta Pharmaceutica Sinica B 3:2, pages 130-139.
Crossref
Jelena Djuris, Svetlana Ibric & Zorica Djuric. 2013. Computer-Aided Applications in Pharmaceutical Technology. Computer-Aided Applications in Pharmaceutical Technology 91 175 .
I. M. Savic, S. T. Stojiljkovic, I. M. Savic, S. B. Stojanovic & K. Moder. (2012) Modeling and Optimization of Fe(III) Adsorption from Water using Bentonite Clay: Comparison of Central Composite Design and Artificial Neural Network. Chemical Engineering & Technology 35:11, pages 2007-2014.
Crossref
Jelena Golubović, Ana Protić, Mira Zečević, Biljana Otašević, Marija Mikić & Ljiljana Živanović. (2012) Quantitative structure–retention relationships of azole antifungal agents in reversed-phase high performance liquid chromatography. Talanta 100, pages 329-337.
Crossref
Rui-Xing Zhou, Jing-Hong Zhao & Zong-Min Wei. (2012) Simulation and optimization of the selenium recovery process using the continuous counter-current decantation ion exchange system. Chemical Engineering Journal 191, pages 386-393.
Crossref
E.A. Colbourn, S.J. Roskilly, R.C. Rowe & P. York. (2011) Modelling formulations using gene expression programming – A comparative analysis with artificial neural networks. European Journal of Pharmaceutical Sciences 44:3, pages 366-374.
Crossref
Anthony J. Hickey & Hugh D.C. SmythAnthony J. Hickey & Hugh D. C. Smyth. 2011. Pharmaco-Complexity. Pharmaco-Complexity 37 45 .
Keisuke Takagaki, Hiroaki Arai & Kozo Takayama. (2010) Creation of a Tablet Database Containing Several Active Ingredients and Prediction of Their Pharmaceutical Characteristics Based on Ensemble Artificial Neural Networks. Journal of Pharmaceutical Sciences 99:10, pages 4201-4214.
Crossref
Mark Staples. (2010) Microchips and controlled-release drug reservoirs. Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology 2:4, pages 400-417.
Crossref
Faith Chaibva, Michael Burton & Roderick B. Walker. (2010) Optimization of Salbutamol Sulfate Dissolution from Sustained Release Matrix Formulations Using an Artificial Neural Network. Pharmaceutics 2:2, pages 182-198.
Crossref
Raymond C. Rowe & Elizabeth A Colbourn. 2009. Pharmaceutical Data Mining. Pharmaceutical Data Mining 401 421 .
Mariana Landín, R.C. Rowe & P. York. (2009) Advantages of neurofuzzy logic against conventional experimental design and statistical analysis in studying and developing direct compression formulations. European Journal of Pharmaceutical Sciences 38:4, pages 325-331.
Crossref
Aleš Belič, Igor Škrjanc, Damjana Zupančič Božič, Rihard Karba & Franc Vrečer. (2009) Minimisation of the capping tendency by tableting process optimisation with the application of artificial neural networks and fuzzy models. European Journal of Pharmaceutics and Biopharmaceutics 73:1, pages 172-178.
Crossref
Uttam Mandal, Veeran Gowda, Animesh Ghosh, Anirbandeep Bose, Uttam Bhaumik, Bappaditya Chatterjee & Tapan Kumar Pal. (2008) Optimization of Metformin HCl 500 mg Sustained Release Matrix Tablets Using Artificial Neural Network (ANN) Based on Multilayer Perceptrons (MLP) Model. CHEMICAL & PHARMACEUTICAL BULLETIN Chemical and Pharmaceutical Bulletin 56:2, pages 150-155.
Crossref
Jelena Paroj?i?Svetlana Ibri?Zorica Djuri?Milica Jovanovi?Owen I. Corrigan. (2007) An investigation into the usefulness of generalized regression neural network analysis in the development of level A in vitro?in vivo correlation. European Journal of Pharmaceutical Sciences 30:3-4, pages 264-272.
Crossref
A. Ghaffari, H. Abdollahi, M.R. Khoshayand, I. Soltani Bozchalooi, A. Dadgar & M. Rafiee-Tehrani. (2006) Performance comparison of neural network training algorithms in modeling of bimodal drug delivery. International Journal of Pharmaceutics 327:1-2, pages 126-138.
Crossref
Dionysios Douroumis, Leontios J. Hadjileontiadis & Alfred Fahr. (2006) Adaptive Neuro-Fuzzy Modeling of Poorly Soluble Drug Formulations. Pharmaceutical Research 23:6, pages 1157-1164.
Crossref
Mark Staples, Karen Daniel, Michael J. Cima & Robert Langer. (2006) Application of Micro- and Nano-Electromechanical Devices to Drug Delivery. Pharmaceutical Research 23:5, pages 847-863.
Crossref
N Anthony Armstrong. 2006. Pharmaceutical Experimental Design and Interpretation, 2nd Edition. Pharmaceutical Experimental Design and Interpretation, 2nd Edition 209 218 .
Wendy I. Wilson, Yun Peng & Larry L. Augsburger. (2005) Generalization of a prototype intelligent hybrid system for hard gelatin capsule formulation development. AAPS PharmSciTech 6:3, pages E449-E457.
Crossref
A. Philip Plumb, Raymond C. Rowe, Peter York & Martin Brown. (2005) Optimisation of the predictive ability of artificial neural network (ANN) models: A comparison of three ANN programs and four classes of training algorithm. European Journal of Pharmaceutical Sciences 25:4-5, pages 395-405.
Crossref
Yongqiang Li, Andrew M. Rauth & Xiao Yu Wu. (2005) Prediction of kinetics of doxorubicin release from sulfopropyl dextran ion-exchange microspheres using artificial neural networks. European Journal of Pharmaceutical Sciences 24:5, pages 401-410.
Crossref
Josephine L. P. Soh, Fei Chen, Celine V. Liew, Daming Shi & Paul W. S. Heng. (2004) A Novel Preformulation Tool to Group Microcrystalline Celluloses Using Artificial Neural Network and Data Clustering. Pharmaceutical Research 21:12, pages 2360-2368.
Crossref
Narayanaswamy Subramanian, Archit Yajnik & Rayasa S. Ramachandra Murthy. (2004) Artificial neural network as an alternative to multiple regression analysis in optimizing formulation parmaeters of cytarabine liposomes. AAPS PharmSciTech 5:1, pages 11-19.
Crossref
Kozo Takayama, Mikito Fujikawa, Yasuko Obata & Mariko Morishita. (2003) Neural network based optimization of drug formulations. Advanced Drug Delivery Reviews 55:9, pages 1217-1231.
Crossref
Silvia Surini, Hidero Akiyama, Mariko Morishita, Tsuneji Nagai & Kozo Takayama. (2003) Release phenomena of insulin from an implantable device composed of a polyion complex of chitosan and sodium hyaluronate. Journal of Controlled Release 90:3, pages 291-301.
Crossref
Svetlana Ibrić, Milica Jovanović, Zorica Djurić, Jelena Parojčić, Slobodan D. Petrović, Ljiljana Solomun & Biljana Stupar. (2003) Artificial neural networks in the modeling and optimization of aspirin extended release tablets with eudragit L 100 as matrix substance. AAPS PharmSciTech 4:1, pages 62-70.
Crossref
A.Philip Plumb, Raymond C Rowe, Peter York & Christopher Doherty. (2002) The effect of experimental design on the modeling of a tablet coating formulation using artificial neural networks. European Journal of Pharmaceutical Sciences 16:4-5, pages 281-288.
Crossref
Svetlana Ibrić, Milica Jovanović, Zorica Djurić, Jelena Parojčić & Ljiljana Solomun. (2002) The application of generalized regression neural network in the modeling and optimization of aspirin extended release tablets with Eudragit® RS PO as matrix substance. Journal of Controlled Release 82:2-3, pages 213-222.
Crossref
Pao-Chu Wu, Yasuko Obata, Mikito Fujikawa, Chao Jie Li, Kimio Higashiyama & Kozo Takayama. (2001) Simultaneous optimization based on artificial neural networks in ketoprofen hydrogel formula containing O-ethyl-3-butylcyclohexanol as percutaneous absorption enhancer. Journal of Pharmaceutical Sciences 90:8, pages 1004-1014.
Crossref
Kozo Takayama, Agnes Morva, Mikito Fujikawa, Yoshie Hattori, Yasuko Obata & Tsuneji Nagai. (2000) Formula optimization of theophylline controlled-release tablet based on artificial neural networks. Journal of Controlled Release 68:2, pages 175-186.
Crossref
S Agatonovic-Kustrin & R Beresford. (2000) Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research. Journal of Pharmaceutical and Biomedical Analysis 22:5, pages 717-727.
Crossref
Mirjana Gašperlin, Livija Tušar, Marjan Tušar, Jelka Šmid-Korbar, Jure Zupan & Julijana Kristl. (2000) Viscosity prediction of lipophilic semisolid emulsion systems by neural network modelling. International Journal of Pharmaceutics 196:1, pages 37-50.
Crossref
Nkere K. Ebube, Godfried Owusu-Ababio & Christiana Moji Adeyeye. (2000) Preformulation studies and characterization of the physicochemical properties of amorphous polymers using artificial neural networks. International Journal of Pharmaceutics 196:1, pages 27-35.
Crossref
Yixin Chen, Troy W McCall, Anand R Baichwal & Marvin C Meyer. (1999) The application of an artificial neural network and pharmacokinetic simulations in the design of controlled-release dosage forms. Journal of Controlled Release 59:1, pages 33-41.
Crossref
Kozo Takayama, Mikito Fujikawa & Tsuneji Nagai. (1999) Artificial Neural Network as a Novel Method to Optimize Pharmaceutical Formulations. Pharmaceutical Research 16:1, pages 1-6.
Crossref
Junichi Takahara, Kozo Takayama, Koichi Isowa & Tsuneji Nagai. (1997) Multi-objective simultaneous optimization based on artificial neural network in a ketoprofen hydrogel formula containing O-ethylmenthol as a percutaneous absorption enhancer. International Journal of Pharmaceutics 158:2, pages 203-210.
Crossref
Junichi Takahara, Kozo Takayama & Tsuneji Nagai. (1997) Multi-objective simultaneous optimization technique based on an artificial neural network in sustained release formulations. Journal of Controlled Release 49:1, pages 11-20.
Crossref
D Zupančič Bozič, F Vrečer & F Kozjek. (1997) Optimization of diclofenac sodium dissolution from sustained release formulations using an artificial neural network. European Journal of Pharmaceutical Sciences 5:3, pages 163-169.
Crossref
J. Devillers. 1996. Neural Networks in QSAR and Drug Design. Neural Networks in QSAR and Drug Design 1 46 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.