Pharmacokinetics and Artificial Intelligence for Drug Predictions
A special issue of Pharmaceutics (ISSN 1999-4923). This special issue belongs to the section "Pharmacokinetics and Pharmacodynamics".
Deadline for manuscript submissions: 10 August 2024 | Viewed by 181
Special Issue Editor
Interests: clinical pharmacology; pharmacometrics; population pharmacokinetics; artificial intelligence; antimicrobial chemotherapy
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent advancements in computer technology and data sciences, such as Artificial Intelligence (AI) and machine learning (ML), have enabled the manipulation of vast volumes of data and intricate mathematical models. Over the past few years, the fields of medical science have experienced a fresh surge of interest in machine learning, deep learning, and artificial intelligence. Within the medical domain, significant emphasis has been placed on utilizing AI for tasks such as medical image-based diagnostics, drug discovery, and drug repositioning.
However, could the principles of artificial intelligence and machine learning also be extended to the pharmacometrics and clinical pharmacology community? Certain researchers have already started applying tree algorithms and artificial neural networks to pharmacometrics. Previous studies have made attempts at incorporating artificial intelligence and machine learning into pharmacometrics. For instance, automated covariate selection in pharmacometrics model development has been explored by employing gene expression programming, leading to the creation of notably improved models compared to their predecessors.
In this context, this issue aims to delve into the applications of machine learning within the realm of pharmaceutics, as well as its potential implications for pharmacometrics and clinical pharmacology. How can artificial intelligence be effectively harnessed to predict time-series pharmacokinetics and pharmacodynamics? Moreover, how can the scientific validity of these AI-based models be substantiated?
We eagerly anticipate the submission of your pioneering initiatives and research accomplishments in this domain.
Prof. Dr. Yasuhiro Tsuji
Guest Editor
Manuscript Submission Information
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Keywords
- pharmacokinetics
- pharmaceutics
- artificial intelligence
- machine learning
- therapeutic drug management
