Trends and Future Development in Precision Medicine

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: 20 May 2026 | Viewed by 1022

Special Issue Editor


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Guest Editor
Centre Hospitalier de L’Universite de Montreal, Montreal, QC, Canada
Interests: precision/presonalized medicine; omics; genetics/genomics; epigenetics/epigenomics; nutrition and nutrigenomic/nutrigenetics; microbiota; pharmacomicrobiomics; pharmacogenomic/pharmacogenetics; complex diseases (cancer, type2 diabetes (T2D), psychiatry), cancer biology and genetics; electronic health record (EHR); interdisciplinarity; public health genomics

Special Issue Information

Dear Colleagues,

We are pleased to announce the launch of a Special Issue about a viral topic in precision medicine. In 2003, exactly 50 years after the discovery of DNA, with the completion of the Human Genome Project (HGP), genetic research moved into the “post-genomic era” regarding the integration of genetic knowledge into our everyday lives.

Upon arriving in the “post-genomic” era of medicine, over the last 20 years, an important conceptual shift was observed with a greater emphasis on the “prevention” and “personalization” of future health outcomes (e.g., disease susceptibility, response to pharmacologic interventions) through the use of individual genetic, epigenetic information along with environmental and lifestyle differences among individuals. A corollary is that preventive, customized interventions and diagnostic tests may now be conceptualized and, in some cases, implemented during the presymptomatic phase of a disease or before pharmacotherapy is initiated.

In this context, the fast-tracked development of high-throughput technologies allowing the generation of large-scale data related to “omics” analysis, which is the sine qua non for the effective integration of precision medicine, has led scientists and physicians to have avant-garde thinking about how to detect and finally treat diseases precisely, steering towards the implementation of precision medicine for personalized health care.

While this Special Issue, “Trends and Future Development in Precision Medicine”, delves into the latest developments in precision medicine, it provides effective knowledge-dissemination regarding the different current applications of genomics, epigenomics, microbiomics/metagenomics, nutrigenomics, pharmacogenomics, but also the challenges and future perspectives in the context of precision medicine.

In this Special Issue, specific areas of focus include, but are not limited to, the following:

  • Precision medicine approaches in complex chronic diseases (Alzheimer’s; cancer; obesity; psychiatric disorders; type2 diabetes (T2D, etc.), and rare diseases;
  • Pharmacogenomics/ pharmacogenetics;
  • Epigenetics in health and human diseases;
  • Epigenetic mechanisms in aging and longevity;
  • Sex differences in genomics/epigenomics and complex human diseases;
  • Gene–environment interactions (GxE);
  • Gut microbiota and complex human chronic diseases;
  • Emerging technologies in “omics” disciplines;
  • Systems biology and omics approaches;
  • Multiomics approaches in complex diseases;
  • Polygenic risk score (PRS);
  • Nanomedicine;
  • Nutrigenomics/personalized nutrition;
  • Bioinformatics/big data/data sharing/artificial intelligence (AI) and precision medicine;
  • Precision medicine in emerging countries;
  • Precision medicine and public health;
  • Interdisciplinary and transdisciplinary approaches in precision medicine.

Against this backdrop, we welcome and encourage authors to submit original studies, reviews and meta-analyses as well as multi-country collaborative research and interdisciplinary works.

Dr. Candan Hizel
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

  • precision/personalized medicine/genomic medicine
  • omics disciplines
  • pharmacogenomics/pharmacogenetics
  • systems biology
  • bioinformatics
  • big data
  • complex diseases
  • rare diseases
  • inter-disciplinarity
  • public health genomics

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Published Papers (1 paper)

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Research

19 pages, 1880 KB  
Article
Development and Piloting of Co.Ge.: A Web-Based Digital Platform for Generative and Clinical Cognitive Assessment
by Angela Muscettola, Martino Belvederi Murri, Michele Specchia, Giovanni Antonio De Bellis, Chiara Montemitro, Federica Sancassiani, Alessandra Perra, Barbara Zaccagnino, Anna Francesca Olivetti, Guido Sciavicco, Rosangela Caruso, Luigi Grassi and Maria Giulia Nanni
J. Pers. Med. 2025, 15(9), 423; https://doi.org/10.3390/jpm15090423 - 3 Sep 2025
Viewed by 445
Abstract
Background/Objectives: This study presents Co.Ge. a Cognitive Generative digital platform for cognitive testing. We describe its architecture and report a pilot study. Methods: Co.Ge. is modular and web-based (Laravel-PHP, MySQL). It can be used to administer a variety of validated cognitive [...] Read more.
Background/Objectives: This study presents Co.Ge. a Cognitive Generative digital platform for cognitive testing. We describe its architecture and report a pilot study. Methods: Co.Ge. is modular and web-based (Laravel-PHP, MySQL). It can be used to administer a variety of validated cognitive tests, facilitating administration and scoring while capturing Reaction Times (RTs), trial-level responses, audio, and other data. Co.Ge. includes a study-management dashboard, Application Programming Interfaces (APIs) for external integration, encryption, and customizable options. In this demonstrative pilot study, clinical and non-clinical participants completed an Auditory Verbal Learning Test (AVLT), which we analyzed using accuracy, number of recalled words, and reaction times as outcomes. We collected ratings of user experience with a standardized rating scale. Analyses included Frequentist and Bayesian Generalized Linear Mixed Models (GLMMs). Results: Mean ratings of user experience were all above 4/5, indicating high acceptability (n = 30). Pilot data from AVLT (n = 123, 60% clinical, 40% healthy) showed that Co.Ge. seamlessly provides standardized clinical ratings, accuracy, and RTs. Analyzing RTs with Bayesian GLMMs and Gamma distribution provided the best fit to data (Leave-One-Out Cross-Validation) and allowed to detect additional associations (e.g., education) otherwise unrecognized using simpler analyses. Conclusions: The prototype of Co.Ge. is technically robust and clinically precise, enabling the extraction of high-resolution behavioral data. Co.Ge. provides traditional clinical-oriented cognitive outcomes but also promotes complex generative models to explore individualized mechanisms of cognition. Thus, it will promote personalized profiling and digital phenotyping for precision psychiatry and rehabilitation. Full article
(This article belongs to the Special Issue Trends and Future Development in Precision Medicine)
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