Advances in Physiologically Based Pharmacokinetics

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Pharmacogenetics".

Deadline for manuscript submissions: 20 June 2026 | Viewed by 23

Special Issue Editors


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Guest Editor
Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, FL, USA
Interests: liquid biopsy; organotypic models; microphysiological systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor Assistant
Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, College of Pharmacy, University of Florida, Orlando, FL, USA
Interests: tissue engineering; biomaterials; mechanobiology; mitochondria; microphysiological systems; stem cell; organoids

Special Issue Information

Dear Colleagues,

Personalized medicine is a transformative approach in healthcare that tailors medical decisions, treatments, and prevention strategies to the unique genetic, environmental, and lifestyle characteristics of each individual patient. By leveraging advances in genomics, pharmacokinetics, biotechnology, and data analytics, personalized medicine moves away from the traditional "one-size-fits-all" model, enabling doctors to predict disease risk, select the most effective therapies, and minimize side effects based on a person's specific genetic profile and health data. This individualized strategy is already making significant progress in areas such as cancer, cardiovascular disease, and diabetes, promising more accurate diagnoses, better health outcomes, and a new era of patient-centered care.

In this context, physiologically based modeling, leveraging systems biology principles, has emerged as a useful tool to advance personalized medicine, mainly by informing precision dosing strategies.

This Special Issue will focus on advances in physiologically and pharmacokinetics-based modeling for precision dosing. We are soliciting innovative papers integrating cutting-edge technologies like machine learning, patient-derived organoids, microphysiological systems, and organism- and organ-level digital twins to inform mechanistic modeling (like PBPK and QSP) for personalized medicine contexts of use.

Dr. Rodrigo Cristofoletti
Guest Editor

Dr. Janny Piñeiro-Llanes
Guest Editor Assistant

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. Journal of Personalized Medicine 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 2600 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

  • personalized medicine
  • precision dosing
  • mechanistic modeling and simulation
  • microphysiological systems
  • pharmacokinetics

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Published Papers

This special issue is now open for submission.
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