Applications of Machine Learning and A.I. in Pharmaceutical Development and Technology

In this topical collection (9 articles)

1. Research Article

   Machine Learning-Enabled NIR Spectroscopy in Assessing Powder Blend Uniformity: Clear-Up Disparities and Biases Induced by Physical Artefacts

   Prakash Muthudoss, Ishan Tewari, Rayce Lim Rui Chi, Kwok Jia Young… Article:277

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2. Research Article

   Machine Learning-Enabled NIR Spectroscopy. Part 3: Hyperparameter by Design (HyD) Based ANN-MLP Optimization, Model Generalizability, and Model Transferability

   Hussain Ali, Prakash Muthudoss, Chirag Chauhan, Ilango Kaliappan… Article:254

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3. 

   Research Article

   Deep Learning for Drug Development: Using CNNs in MIA-QSAR to Predict Plasma Protein Binding of Drugs

   Affaf Khaouane, Latifa Khaouane, Samira Ferhat, Salah Hanini Article:232

4. 

   Research Article

   Modeling of In Vitro Dissolution Profiles of Carvedilol Immediate-Release Tablets in Different Dissolution Media

   Duygu Yilmaz Usta, Tuba Incecayir Article:201

5. 

   Research Article

   Visible Particle Identification Using Raman Spectroscopy and Machine Learning

   Han Sheng, Yinping Zhao, Xiangan Long, Liwen Chen, Bei Li, Yiyan Fei… Article:186

6. Research Article

   Integrating Artificial Intelligence with Quality by Design in the Formulation of Lecithin/Chitosan Nanoparticles of a Poorly Water-Soluble Drug

   Marwa H. S. Dawoud, Islam S. Mannaa, Amira Abdel-Daim, Nabila M. Sweed Article:169

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7. 

   Review Article

   Exploring the Potential of Artificial Intelligence as a Facilitating Tool for Formulation Development in Fluidized Bed Processor: a Comprehensive Review

   Aachal A. Gosavi, Tanaji D. Nandgude, Rakesh K. Mishra, Dhiraj B. Puri Article:111

8. 

   Research Article

   Predicting Glass-Forming Ability of Pharmaceutical Compounds by Using Machine Learning Technologies

   Junhuang Jiang, Defang Ouyang, Robert O. Williams III Article:103

9. Research Article

   Machine Learning–Enabled NIR Spectroscopy. Part 2: Workflow for Selecting a Subset of Samples from Publicly Accessible Data

   Hussain Ali, Prakash Muthudoss, Manikandan Ramalingam… Article:34

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