AIMC Topic: Drug Compounding
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Testing Precision Limits of Neural Network-Based Quality Control Metrics in High-Throughput Digital Microscopy.
Pharmaceutical research
Jan 26, 2022
OBJECTIVE: Digital microscopy is used to monitor particulates such as protein aggregates within biopharmaceutical products. The images that result encode a wealth of information that is underutilized in pharmaceutical process monitoring. For example,...
Application of machine learning to a material library for modeling of relationships between material properties and tablet properties.
International journal of pharmaceutics
Oct 6, 2021
This study investigates the usefulness of machine learning for modeling complex relationships in a material library. We tested 81 types of active pharmaceutical ingredients (APIs) and their tablets to construct the library, which included the followi...
In silico formulation prediction of drug/cyclodextrin/polymer ternary complexes by machine learning and molecular modeling techniques.
Carbohydrate polymers
Sep 29, 2021
Ternary cyclodextrin (CD) complexes (drug/CD/polymer) can effectively improve the solubility of water-insoluble drugs with large size than binary CD formulations. However, ternary formulations are screened by a trial-and-error approach, which is labo...
Use of machine learning in prediction of granule particle size distribution and tablet tensile strength in commercial pharmaceutical manufacturing.
International journal of pharmaceutics
Sep 29, 2021
In the manufacturing of pharmaceutical Oral Solid Dosage (OSD) forms, Particle Size Distribution (PSD) and Tensile Strength (TS) are common in-process tests that are controlled in order to achieve the quality targets of the end-product. The Quality b...
Design of Biopharmaceutical Formulations Accelerated by Machine Learning.
Molecular pharmaceutics
Sep 14, 2021
In addition to activity, successful biological drugs must exhibit a series of suitable developability properties, which depend on both protein sequence and buffer composition. In the context of this high-dimensional optimization problem, advanced alg...
Evaluation of external contamination on the vial surfaces of some hazardous drugs that commonly used in Chinese hospitals and comparison between environmental contamination generated during robotic compounding by IV: Dispensing robot vs. manual compounding in biological safety cabinet.
Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
Jun 24, 2021
OBJECTIVES: The aims of the study were to evaluate the external contamination of hazardous drug vials used in Chinese hospitals and to compare environmental contamination generated by a robotic intelligent dispensing system (WEINAS) and a manual comp...
Machine learning directed drug formulation development.
Advanced drug delivery reviews
May 19, 2021
Machine learning (ML) has enabled ground-breaking advances in the healthcare and pharmaceutical sectors, from improvements in cancer diagnosis, to the identification of novel drugs and drug targets as well as protein structure prediction. Drug formul...
An insight into predictive parameters of tablet capping by machine learning and multivariate tools.
International journal of pharmaceutics
Mar 2, 2021
Capping is the frequently observed mechanical defect in tablets arising from the sub-optimal selection of the formulation composition and their robustness of response toward process parameters. Hence, overcoming capping propensity based on the unders...
Robotic chemotherapy compounding: A multicenter productivity approach.
Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
Feb 11, 2021
INTRODUCTION: The aim of this study is to compare productivity of the KIRO Oncology compounding robot in three hospital pharmacy departments and identify the key factors to predict and optimize automatic compounding time.
Potential of Raman spectroscopy in facilitating pharmaceutical formulations development - An AI perspective.
International journal of pharmaceutics
Feb 2, 2021
Drug development is time-consuming and inherently possesses a high failure rate. Pharmaceutical formulation development is the bridge that links a new chemical entity (NCE) to pre-clinical and clinical trials, and has a high impact on the efficacy an...
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