Advanced Computational Tools in Development and Assessment of Dosage Form
A special issue of Pharmaceutics (ISSN 1999-4923). This special issue belongs to the section "Pharmaceutical Technology, Manufacturing and Devices".
Deadline for manuscript submissions: 31 January 2027 | Viewed by 5120
Special Issue Editors
Interests: pharmaceutical technology; machine learning; solid dosage forms; drug dissolution; biopharmaceutics
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; machine learning; pulmonary drug delivery; particle technology; spray drying; biopharmaceutics; image processing and analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Currently, scientists have more options for multidimensional assessments of products, combined with advanced computational tools like AI/ML and well-known computer vision algorithms with good performance. These tools enable a deeper understanding of production process outcomes and quality attributes of dosage forms quality attributes. They also allow for the prediction of the safety and efficacy of drug dosage forms. These developments are why we have proposed this topic, which we recognize as an important trend.
This Special Issue explores the application of artificial intelligence, machine learning, and computer vision (AI/ML/CV) with advanced imaging techniques—such as micro-computed tomography (µCT), Raman spectroscopy, scanning electron microscopy (SEM), IR microscopy, and RT UV imaging—for the assessment and optimization of drug dosage forms. Please note that a validation experiment is compulsory for article-type papers.
This collection aims to showcase the potential of these state-of-the-art methods in analyzing the structural, chemical, and morphological characteristics of pharmaceutical formulations.
Topics of interest include the following areas of research:
- Imaging-based evaluation of dissolution processes (UV/IR/MRI);
- Structural and compositional analysis of complex dosage forms (µCT/SEM/IR);
- AI-driven image processing and data analysis for pharmaceutical research;
- Real-time imaging techniques for in-process monitoring (AI-based in-line monitoring);
- Innovations in imaging for quality control and regulatory compliance.
Dr. Jakub Szlęk
Dr. Adam Pacławski
Guest Editors
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 250 words) can be sent to the Editorial Office for assessment.
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. Pharmaceutics 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
- artificial intelligence
- computational tools
- advanced imaging in drug development
- pharmaceutical analysis
- dosage form characterization
- pharmaceutical process monitoring
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