Diagnostics in Personalized Medicine
A section of Journal of Personalized Medicine (ISSN 2075-4426).
Section Information
Aim
Diagnostic research is rapidly evolving, shifting from traditional biomarkers to novel omics technologies such as epigenetics, microbiome profiling, advanced imaging and the use of mobile phone apps. These innovations aim to move beyond the outdated "one-size-fits-all" treatment model by capturing distinct disease phenotypes and identifying targeted therapies. Modern diagnostics not focus on both disease detection and the recognition of pre-disease states, supporting early interventions to reduce the risk of chronic conditions. Additionally, AI is emerging as a powerful tool, further advancing the transition toward personalized medicine. However, despite these technological advancements, developing high-quality diagnostic research with real clinical impact remains a challenge that is crucial for improving patient care and optimizing healthcare costs.
Scope
Our Focus:
- High-quality, methodologically sound, and up-to-date diagnostic research.
- Novel biomarkers for detecting pre-disease states and improving disease profiling.
- Diagnostics that inform treatment decisions and enhance patient prognosis.
- The use of mobile applications for screening, diagnosis, and treatment.
- Health economics of screening and diagnostic biomarkers.
- Big data and AI applications in disease diagnosis and predictive modeling.
- Perspectives, debates, and expert opinions on key issues in diagnostics.
- The implementation of diagnostic research in personalized medicine.
- Step-by-step guidelines and methodological insights for clinicians and researchers.
- Practical tools for integrating diagnostic research into medical education and clinical practice.
- Promoting best practices in diagnostic research.
