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The 20th Anniversary of Pharmaceuticals—How Artificial Intelligence Is Reshaping...
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Special Issue "The 20th Anniversary of Pharmaceuticals—How Artificial Intelligence Is Reshaping Pharmaceuticals Technology"

A special issue of Pharmaceuticals (ISSN 1424-8247). This special issue belongs to the section "Pharmaceutical Technology".

Deadline for manuscript submissions: 20 June 2024 | Viewed by 2303

Special Issue Editor

Prof. Dr. Serge Mordon

E-Mail Website1 Website2
Guest Editor
INSERM (French National Institute of Health and Medical Research) U1026, The Laboratory of the Bioengineering of Tissues (BioTis), University of Bordeaux, 146 rue Léo Saignat, 33076 Bordeaux, France
Interests: photodynamic therapy; cancer; clinical evaluation; photosensitizer; dosimetry; fluorescencer; Dosimetry; fluorescence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As Editor-in-Chief of the Section Pharmaceutical Technology of Pharmaceuticals, I am pleased to invite you to submit high-quality and relevant manuscripts on research activities in pharmaceutical technology for this Special Issue entitled “The 20th Anniversary of Pharmaceuticals—Recent Advances in Drug-Delivery Systems”. All research will be included in a book dedicated to the 20th anniversary of our journal. Manuscripts focusing on all the different main fields of pharmaceutical technology are welcome: drug-delivery strategies, drug analysis, process technology, innovative instrumentation, drug manufacturing, management and analysis of data, and test and quality control research, artificial intelligence.

Prof. Dr. Serge Mordon
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Pharmaceuticals is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • drug delivery
  • drug analysis
  • pharmaceutical technology
  • controlled release and sustained release
  • formula design
  • artificial intelligence

Published Papers (2 papers)

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12 pages, 2366 KiB  
Article
Comparing the Performance of Raman and Near-Infrared Imaging in the Prediction of the In Vitro Dissolution Profile of Extended-Release Tablets Based on Artificial Neural Networks
by
Dorián László Galata
,
Szilveszter Gergely
,
Rebeka Nagy
,
János Slezsák
,
Ferenc Ronkay
,
Zsombor Kristóf Nagy
and
Attila Farkas
Pharmaceuticals 2023, 16(9), 1243; https://doi.org/10.3390/ph16091243 - 01 Sep 2023
Viewed by 573
Abstract
In this work, the performance of two fast chemical imaging techniques, Raman and near-infrared (NIR) imaging is compared by utilizing these methods to predict the rate of drug release from sustained-release tablets. Sustained release is provided by adding hydroxypropyl methylcellulose (HPMC), as its [...] Read more.
In this work, the performance of two fast chemical imaging techniques, Raman and near-infrared (NIR) imaging is compared by utilizing these methods to predict the rate of drug release from sustained-release tablets. Sustained release is provided by adding hydroxypropyl methylcellulose (HPMC), as its concentration and particle size determine the dissolution rate of the drug. The chemical images were processed using classical least squares; afterwards, a convolutional neural network was applied to extract information regarding the particle size of HPMC. The chemical images were reduced to an average HPMC concentration and a predicted particle size value; these were used as inputs in an artificial neural network with a single hidden layer to predict the dissolution profile of the tablets. Both NIR and Raman imaging yielded accurate predictions. As the instrumentation of NIR imaging allows faster measurements than Raman imaging, this technique is a better candidate for implementing a real-time technique. The introduction of chemical imaging in the routine quality control of pharmaceutical products would profoundly change quality assurance in the pharmaceutical industry. Full article
(This article belongs to the Special Issue The 20th Anniversary of Pharmaceuticals—How Artificial Intelligence Is Reshaping Pharmaceuticals Technology)
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Review

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22 pages, 3781 KiB  
Review
A Bibliometric Analysis of 3D Printing in Personalized Medicine Research from 2012 to 2022
by
Aile Xue
,
Wenjie Li
,
Wenxiu Tian
,
Minyue Zheng
,
Lan Shen
and
Yanlong Hong
Pharmaceuticals 2023, 16(11), 1521; https://doi.org/10.3390/ph16111521 - 26 Oct 2023
Viewed by 1045
Abstract
In recent years, the 3D printing of personalized drug formulations has attracted the attention of medical practitioners and academics. However, there is a lack of data-based analyses on the hotspots and trends of research in this field. Therefore, in this study, we performed [...] Read more.
In recent years, the 3D printing of personalized drug formulations has attracted the attention of medical practitioners and academics. However, there is a lack of data-based analyses on the hotspots and trends of research in this field. Therefore, in this study, we performed a bibliometric analysis to summarize the 3D printing research in the field of personalized drug formulation from 2012 to 2022. This study was based on the Web of Science Core Collection Database, and a total of 442 eligible publications were screened. Using VOSviewer and online websites for bibliometric analysis and scientific mapping, it was observed that annual publications have shown a significant growth trend over the last decade. The United Kingdom and the United States, which account for 45.5% of the total number of publications, are the main drivers of this field. The International Journal of Pharmaceutics and University College London are the most prolific and cited journals and institutions. The researchers with the most contributions are Basit, Abdul W. and Goyanes Alvaro. The keyword analysis concluded that the current research hotspots are “drug release” and “drug dosage forms”. In conclusion, 3D printing has broad application prospects in the field of personalized drugs, which will bring the pharmaceutical industry into a new era of innovation. Full article
(This article belongs to the Special Issue The 20th Anniversary of Pharmaceuticals—How Artificial Intelligence Is Reshaping Pharmaceuticals Technology)
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