Application of Statistical and Mathematical Techniques in Personalized Medicine and Healthcare

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Methodology, Drug and Device Discovery".

Deadline for manuscript submissions: closed (25 December 2024) | Viewed by 448

Special Issue Editor


E-Mail Website
Guest Editor
Faculty of Engineering and Physical Sciences, Southampton University, Southampton, UK
Interests: X-ray imaging; radiation; neural network; neutron/gamma radiography; diagnosis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce the launch of a Special Issue entitled "Application of Statistical and Mathematical Techniques in Personalized Medicine and Healthcare". This Special Issue will focus on the innovative and impactful applications of statistical, mathematical, and artificial intelligence techniques in the fields of medicine and healthcare.

We welcome submissions (reviews or original research articles) that showcase the use of advanced analytical methods in areas such as clinical trials, medical imaging, epidemiology, healthcare resource allocation, and predictive modeling. By highlighting the latest research and cutting-edge methodologies in this rapidly evolving field, this Special Issue aims to foster collaboration and the exchange of ideas among researchers, practitioners, and policymakers in the healthcare domain.

Dr. Ehsan Nazemi
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. 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

  • statistical analysis
  • mathematical modeling
  • healthcare analytics
  • predictive modeling
  • clinical trials
  • medical imaging
  • epidemiology
  • healthcare resource allocation
  • machine learning
  • data mining
  • artificial intelligence
  • artificial neural networks

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Review

12 pages, 234 KiB  
Review
Ultrafast Breast MRI: A Narrative Review
by Ottavia Battaglia, Filippo Pesapane, Silvia Penco, Giulia Signorelli, Valeria Dominelli, Luca Nicosia, Anna Carla Bozzini, Anna Rotili and Enrico Cassano
J. Pers. Med. 2025, 15(4), 142; https://doi.org/10.3390/jpm15040142 - 2 Apr 2025
Viewed by 78
Abstract
Breast magnetic resonance imaging (MRI) is considered the most effective method for detecting breast cancer due to its high sensitivity. Yet multiple factors limit its widespread use, including high direct and indirect costs, a prolonged acquisition time with consequent patient discomfort, and a [...] Read more.
Breast magnetic resonance imaging (MRI) is considered the most effective method for detecting breast cancer due to its high sensitivity. Yet multiple factors limit its widespread use, including high direct and indirect costs, a prolonged acquisition time with consequent patient discomfort, and a lack of trained radiologists. During the last decade, new strategies have been followed to increase the availability of breast MRI, including the omission of non-essential sequences to generate abbreviated MRI protocols (AB-MRIs) aimed at reducing the acquisition time with the potential of improving the patient’s experience and accommodating a higher number of MRI examinations per day. An alternative method is ultrafast MRI (UF-MRI), a novel technique that gathers kinetic data within the first minute after contrast injection, offering high temporal resolution. This enables the analysis of early contrast wash-in curves, showing promising outcomes. In this study, we reviewed the role of UF-MRI in breast imaging and detailed how the integration of this new approach with radiomics and mathematical models might further improve diagnostic accuracy and even have a prognostic role, a fundamental characteristic in the modern scenarios of personalized medicine. In addition, possible clinical applications and advantages of UF-MRI will be discussed. Full article
Back to TopTop