Special Issue "Machine Learning for Dosage Forms Developments"
Deadline for manuscript submissions: 30 September 2023 | Viewed by 7643
Interests: controlled release dosage forms development; 3D printing; application of machine learning tools in product/process optimization and QbD implementation in development of dosage forms and processes
Over the last two decades, the pharmaceutical industry has faced a number of challenges. By implementing the quality by design concept in drug development, stakeholders are urged to become aware of the necessity of collecting more data on products and processes, and to analyze them accurately in order to gain useful knowledge. Along with the requirements in drug development, various machine learning techniques used in the pharmaceutical industry are being used more and more often and intensively.
This Special Issue “Machine Learning for Dosage Forms Developments” of Pharmaceutics addresses this multidisciplinary field and aims to discuss the application of machine learning tools in formulation and process dosage form development. Colleagues are invited to participate by proposing original and review papers that deal with the application of artificial intelligence in dosage form development, including different machine/deep learning tools, multivariate analysis, and computer-aided biopharmaceutical classification.
Prof. Dr. Svetlana Ibrić
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. 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.
- machine learning
- deep learning
- artificial neural networks
- dosage from development
- process optimization
- design space
- quality by design