Otolaryngology in Clinical Practice: The Necessity of Personalized Medicine
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Clinical Medicine, Cell, and Organism Physiology".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 43
Special Issue Editor
Interests: otolaryngology; laryngology; oncology; artificial intelligence; reflux disease
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Background:
Otolaryngology-Head and Neck Surgery is confronted with challenges in treatment optimization due to the complex interplay of anatomical, physiological, and histopathological findings of ear, nose, and throat pathologies affecting individual patients' quality of life. Traditional "one-size-fits-all" approaches often yield suboptimal outcomes, highlighting the need for personalized therapeutic strategies.
History:
The field has evolved from standardized protocols to increasingly individualized approaches, initially through clinical phenotyping and biomarker identification. Recent technological advances, especially in artificial intelligence, have accelerated the shift toward precision medicine in otolaryngology.
Aim and Scope:
This Special Issue aims to provide insight into the integration of personalized medicine approaches in otolaryngology-head and neck surgery, emphasizing how patient-specific factors (genetic profiles, environmental influences, comorbidities) can be considered to lead to tailored therapeutic strategies. A particular focus on the synergistic potential of artificial intelligence and machine learning in advancing personalized care can be performed through improved diagnostic accuracy, treatment selection, and outcome prediction.
Cutting-edge Research:
Current innovations include AI-powered imaging analysis for surgical planning, machine learning algorithms for treatment response prediction, personalized tissue engineering, targeted molecular therapies, and the application of big data analytics to identify patient-specific risk factors and optimal intervention timing.
Papers Solicited:
We welcome original research, systematic reviews, and comprehensive reviews dedicated to:
- AI/ML applications in personalized diagnosis and treatment;
- Novel biomarker identification and validation studies;
- Patient-specific outcome prediction models;
- Precision therapeutics in head and neck surgery;
- Integration of multi-omics data in personalized care;
- Real-world implementation of personalized medicine approaches.
Prof. Dr. Jerome Rene Lechien
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. Journal of Personalized Medicine 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 2600 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
- otolaryngology
- otorhinolaryngology
- artificial Intelligence
- personalized Medicine
- treatments
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