Personalized Treatment and Management in Dermatology

Dear Colleagues,

Personalized (or precision) medicine can be defined as a medical model whereby health interventions are tailored based on the individual characteristics of each patient. This term implies the incorporation of a wide array of “private” data, including clinical, lifestyle, genetic and biomarker information, thus going beyond the classical “signs-and-symptoms” approach. The four principles of personalized medicine are as follows: (i) prediction and prevention of the disease; (ii) precise diagnosis; (iii) personalized interventions; (iv) and participatory role of the patients in health decisions.

Dermatology has been one of the most involved fields of medicine in new technologies and precision medicine, as attested by the tremendous scientific advances during the last 20 years. The deep phenotyping of patients at different levels (from medical history to functional diagnostics, immunology/histology and omics) are revolutionizing our clinical practice, providing an opportunity to apply artificial intelligence (AI) and machine learning algorithms to this vast dataset to create prognostic/diagnostic models and predict treatment response.

The aim of this Special Issue is to gather articles and new ideas on the topic of personalized medicine in the field of immune-mediated inflammatory skin diseases and oncodermatology. Both clinical and basic research studies are to be considered to offer readers a wider perspective of the field with a focus on prognostic and/or diagnostic biomarker discovery, genetic and omic approaches, individual response to treatment, patient-related outcomes and novel machine learning algorithms.

Original research and reviews will be particularly appreciated. We look forward to your contributions to provide update progress on this topic.

Dr. Maurizio Romagnuolo
Dr. Chiara Moltrasio
Guest Editors

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