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: 30 October 2024 | Viewed by 105

Special Issue Editors


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Guest Editor
Unit of Internal Medicine “Guido Baccelli”, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari Aldo Moro, 70124 Bari, Italy
Interests: metabolic bone diseases; inborn errors in metabolism; rare diseases; lysosomal diseases; diagnostics in metabolic diseases; biomarkers

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Guest Editor
Unit of Internal Medicine “Guido Baccelli”, Department of Precision and Regenerative Medicine and Ionian Area (DiMePRe-J), University of Bari Aldo Moro, 70124 Bari, Italy
Interests: multiple myeloma; microenvironment; oncology; angiogenesis; hematology
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Lysosomal Disorders Unit, Royal Free London NHS Foundation Trust, London NW3 2QG, UK
Interests: lysosomal storage disorders; paediatric familial hypercholesterolaemia; inherited metabolic disorders

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

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. Metabolites 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 2700 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

  • bone disease
  • bone involvement in congenital and acquired conditions
  • artificial intelligence
  • bi-omarker discovery
  • clinical algorithm
  • integrated imaging approaches
  • omics-based approaches

Published Papers

This special issue is now open for submission.
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