Multimodal Approaches to Diagnosing Metabolic Bone Diseases
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Endocrinology and Clinical Metabolic Research".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 1705
Special Issue Editors
Interests: metabolic bone diseases; inborn errors in metabolism; rare diseases; lysosomal diseases; diagnostics in metabolic diseases; biomarkers
Interests: multiple myeloma; microenvironment; oncology; angiogenesis; hematology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Metabolic bone diseases encompass a diverse group of disorders, ranging from inherited to acquired conditions, which share a common disruption in the balance between bone formation and resorption and carry significant morbidity and mortality when misdiagnosed.
Due to their complex nature, metabolic bone diseases often require a multimodal and multidisciplinary approach to diagnosis and management that relies on close teamwork among clinicians, radiologists, pathologists, and geneticists. Recent advances in sensitive diagnostic and prediction methods, such as emerging biomarkers, new or integrated imaging techniques, machine learning, and computer-based diagnosis have been proven to represent a useful tool for supporting a physician during the diagnostic process. In this landscape, multimodal approaches that enable the deep phenotyping of patients are crucial to advance precision medicine and ensure early/accurate diagnosis, leading to better treatment and outcomes.
Metabolites is launching a Special Issue focused on multimodal approaches to diagnosing metabolic bone diseases. On behalf of the Editorial Office, we invite you to contribute your research papers, review articles, and interesting case reports on state-of-the-art diagnostic approaches to metabolic bone disorders from diverse perspectives for peer review and possible publication.
Dr. Simona D’Amore
Dr. Antonio G. Solimando
Dr. Uma Ramaswami
Guest Editors
Manuscript Submission Information
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Keywords
- bone disease
- bone involvement in congenital and acquired conditions
- artificial intelligence
- bi-omarker discovery
- clinical algorithm
- integrated imaging approaches
- omics-based approaches
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