Novel Diagnostic Tools and Biomarkers in Hematology
A special issue of Biomolecules (ISSN 2218-273X). This special issue belongs to the section "Molecular Biomarkers".
Deadline for manuscript submissions: 17 September 2026 | Viewed by 5
Special Issue Editor
2. Dynamics of Fluids, Experimental Physics, Saarland University, 66123 Saarbruecken, Germany
Interests: calcium imaging; electrophysiology; patch clamp recording; optical imaging; confocal microscopy; calcium; calcium signaling; physiology; cell physiology; patch-clamp electrophysiology
Special Issue Information
Dear Colleagues,
Blood circulates continuously throughout the entire body, acting as a dynamic carrier of countless molecules, cells, and signals. In doing so, it gathers a rich spectrum of “material” and “information” that reflects physiological and pathological processes occurring in virtually every organ system. This makes blood an exceptionally powerful and versatile medium for diagnostic purposes. Its clinical value is further enhanced by the fact that blood is relatively easy to access through minimally invasive procedures, enabling repeated sampling and longitudinal monitoring with minimal burden to patients.
In recent years, rapid technological progress has transformed the landscape of blood‑based diagnostics. Advances in omics technologies—such as genomics, proteomics, metabolomics, and lipidomics—have dramatically expanded our ability to detect subtle molecular changes associated with disease. At the same time, innovations in photonics, microfluidics, and lab‑on‑a‑chip systems have enabled highly sensitive, real‑time analyses using only minute sample volumes. Machine learning and artificial intelligence are adding yet another dimension, allowing researchers to integrate complex datasets, uncover hidden patterns, and identify novel biomarkers with unprecedented precision.
Together, these developments are reshaping modern hematology and opening new avenues for early detection, disease stratification, and personalized therapy. This Special Issue highlights the latest advances in diagnostic technologies as well as emerging biomarkers derived from blood. We welcome both original research articles and comprehensive review papers that contribute to this rapidly evolving field.
Prof. Dr. Lars Kaestner
Guest Editor
Manuscript Submission Information
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Keywords
- blood-based biomarkers
- diagnostic innovation
- omics technologies
- microfluidics
- photonics
- machine learning
- hematology
- precision medicine
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