Results 151 to 160 of about 279,027 (307)

Technoeconomic and sustainability analysis of batch and continuous crystallization for pharmaceutical manufacturing

AIChE Journal, EarlyView.
Abstract In pharmaceutical industries, continuous manufacturing methods have already been well established to improve productivity and process intensification. However, to better understand the trade‐offs of continuous crystallizers over the existing batch production systems, a robust technoeconomic cost and sustainability analysis is necessary to ...
Jungsoo Rhim, Zoltan K. Nagy
wiley   +1 more source

The impact of the consistency evaluation policy of generic drugs on the integration of innovation chain and industrial chain in the pharmaceutical manufacturing industry. [PDF]

Front Public Health
Xie Y, Zhang W.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

<i>In vitro</i> Bioequivalence Analysis of Generic Metformin Hydrochloride Film-coated Tablets. [PDF]

Acta Med Philipp
Buenavidez ZP, Brum AKP, Manzo KMT, Mora ZLM, Crucis PM, Lapuz AMR, Miranda KJA, Carandang RRZ.   +7 more
europepmc   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Parental preferences for generic substitution policies for children in China: a discrete choice experiment. [PDF]

BMJ Open
Pu T, Tan J, Xin W, Zhang L, Shao R, Yan J.   +5 more
europepmc   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

The use of generic versus brand names in (clinical) pharmacology education across Europe: a cross-sectional survey. [PDF]

Eur J Clin Pharmacol
Slezáková V, Rychlíčková J, Cazaubon Y, Donker EM, van Leeuwen E, Likic R, Mazánková D, Piët JD, De Ponti F, Raasch W, van Rosse F, Sanz EJ, Schwaninger M, van Agtmael MA, Tichelaar J.   +14 more
europepmc   +1 more source

Taguchi–Bayesian Sampling: A Roadmap for Polymer Database Construction Toward Small Representative Machine Learning

Advanced Intelligent Discovery, EarlyView.
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley   +1 more source

Safety Comparison of Risk of Liver Dysfunction between Generic and Brand Statin Drugs Marketed in Japan: A Cohort Study Using MID-NET®. [PDF]

Ther Innov Regul Sci
Maruyama H, Kinoshita Y, Ando T, Okui J, Komamine M, Kajiyama K, Horiuchi N, Uyama Y.   +7 more
europepmc   +1 more source