Background/Objectives: Complete blood count (CBC)-derived markers such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) have gained increasing attention as accessible indicators of systemic inflammation. These parameters, calculated from routine blood tests, are widely available in clinical settings and are potentially relevant for a variety of chronic diseases. This review aims to explore current evidence and highlight potential future directions regarding the use of hematologic inflammatory biomarkers in chronic disease. Methods: We performed an extensive literature search on PubMed to identify full-text original studies published in the past five years, focused on investigating the clinical applications of hematologic inflammatory markers in chronic conditions. Results: CBC-derived inflammatory markers have been studied in a wide range of chronic diseases, including autoimmune diseases, metabolic disorders, chronic kidney disease, chronic infections, psychiatric diseases, and other conditions. These markers have been evaluated for multiple clinical purposes, such as aiding diagnosis, monitoring disease status, assessing disease activity, disease subtype characterization, predicting prognosis, and evaluating associations with disease outcomes. Conclusions: As chronic diseases affect millions of individuals globally, placing a burden for the healthcare system, patients, and their families, simple and cost-efficient tools like CBC-derived inflammatory markers have the potential to improve clinical case management.

Background: Research in personalized medicine, with applications in oncology, dermatology, cardiology, urology, and general healthcare, requires facile and safe access to accurate data. Due to its particularly sensitive character, obtaining health-related data, storing it in repositories, and federating it are challenging, especially in the context of open science and FAIR data. Methods: An online survey was conducted among medical researchers to gain insights into their knowledge and experience regarding the following topics: health data repositories and data federation, as well as their opinions regarding data sharing and their willingness to participate in sharing data. Results: The survey was completed by 189 respondents, the majority of whom were attending physicians and PhD candidates. Most of them acknowledged the complex, beneficial implications of data federation in the medical field but had concerns about data protection, with 75% declaring that they would agree to share data. A general lack of awareness (80%) about the importance of interoperability for federated data repositories was observed. Conclusions: Implementing federated data repositories in the health field requires thorough understanding, knowledge, and collaboration, enabling translational medicine to reach its full potential. Understanding the needs of all involved parties can shape the success of medical data federation initiatives, with this study serving as a foundation for further research.