Special Issue "New Frontiers in Psoriasis: From Immunogenetics to the Concept of Endotypes"
Deadline for manuscript submissions: 31 December 2020.
2. Young Dermatologists Italian Network (YDIN), GISED Study Centre, 24121, Bergamo, Italy
3. Clinical Dermatology, IRCCS Istituto Ortopedico Galeazzi, 20161, Milan, Italy
4. Department of Biomedical, Surgical and Dental Sciences, University of Milan, 20122, Milan, Italy
Interests: psoriasis; hidradenitis suppurativa; systemic inflammation; dermatoepidemiology; multi-omics integration; machine learning; artificial intelligence; big data; biologics; systemic treatments
Psoriasis is now a well-known systemic inflammatory disease that heavily impacts patients' quality of life; however, several efficacious treatments are currently available. Despite the latest therapeutic and biological advances, determining the most suitable drug for a patient (precision medicine) continues to be challenging.
Recently omics, big data, immunogenetics, and artificial intelligence have contributed to making precision medicine possible; in fact, all these technologies have allowed clinicians to better cluster psoriatic patients susceptible to responding to certain drugs or developing complications.
These clusters of clinical, biological, genetic, and therapeutic characteristics depict the endotypes.
This new approach is also of paramount importance in order to decrease healthcare costs related to anti-psoriatic drugs unresponsiveness, lack of response, and complications.
Within this Special Issue of the Journal of Clinical Medicine, we invite you to describe the state-of-the-art for psoriasis care, new therapeutical strategies omics-based, big data, and artificial intelligence contributions in psoriasis precision medicine.
We welcome both lab-based and dermatoepidemiological studies that may shed light on new therapeutic approaches in psoriasis care.
Dr. Giovanni Damiani
Manuscript Submission Information
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- Hidradenitis suppurativa
- Systemic inflammation
- Multi-omics integration
- Machine learning
- Artificial intelligence
- Systemic treatments