Recent Advances in Prevention, Diagnosis and Treatment of Pediatric Diseases
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pathology, Diagnostics, and Therapeutics".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 1257
Special Issue Editor
Interests: bioinformatics; machine learning; epigenetics; molecular epidemiology; DNA methylation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Pediatric diseases include a large set of disorders affecting children from birth to adolescence. Understanding the underlying molecular mechanisms of these diseases is crucial for developing effective diagnostic tools and therapeutic interventions.
Recent advancements in technology, coupled with cutting-edge analytical methods, machine learning, and artificial intelligence, have transformed pediatric medicine. These innovations enable the analysis of complex clinical and biomolecular data, providing deeper insights into disease pathogenesis.
This Special Issue aims to highlight the new advances in the prevention, diagnosis, and treatment of pediatric diseases, including the importance of deciphering the crucial role of in utero and early-life exposures in shaping pediatric and adult health outcomes. We invite researchers to submit manuscripts addressing the following critical areas:
- Genome-wide association studies for the identification of genetic variants associated with pediatric diseases.
- The development of predictive models for disease risk, treatment response, and clinical outcomes using machine learning and artificial intelligence, with a focus on pediatric diseases and incorporating the impact of early-life exposures.
- Elucidation of the molecular mechanisms connecting in utero and early-life exposures to future disease development through comprehensive clinical and omics data (including epigenomic, transcriptomic, proteomic, metabolomic, and gut microbiome analyses).
- Advancement of personalized medicine approaches for pediatric patients.
- Evaluation and recommendations regarding the effectiveness of novel therapeutic approaches for treating pediatric patients and preventing disease in high-risk populations.
We encourage the submission of original research articles that demonstrate the potential of novel technologies and analytical methods in improving the prevention, diagnosis, and treatment of pediatric diseases.
Dr. Giovanni Fiorito
Guest Editor
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. International Journal of Molecular Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. There is an Article Processing Charge (APC) for publication in this open access journal. For details about the APC please see here. 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
- pediatric diseases
- bioinformatics
- in utero and early-life exposures
- multi-omic biomarkers
- personalized medicine
- diagnosis
- prevention
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