Non-invasive Diagnosis of Skin Diseases
Deadline for manuscript submissions: 31 March 2024 | Viewed by 4432
Interests: non-invasive diagnosis; skin tumors; inflammatory skin diseases; skin infestations
Special Issues, Collections and Topics in MDPI journals
The non-invasive diagnosis of skin disease is a rapidly growing field of medical research. The emergent diagnostic devices that allow for in vivo and ex vivo tissue imaging are constantly improving patient management in a true bench-to-bedside approach. These technologies have now become faster and more accurate than ever before. Devices are growing smaller and more user-friendly, and complementary imaging technologies have started to be integrated together into imaging platforms capable of addressing multiple skin evaluation needs. Moreover, since the development of such technologies, the beneficial role of artificial intelligence (AI) in assisting the physician in the non-invasive diagnostic process is also becoming more evident. Even though many studies have addressed the physiologic and pathologic processes of the skin, the intricate mechanisms of inflammatory and neoplastic skin diseases are yet to be fully elucidated and demonstrated. In addition to the study of skin diseases, the quantification of the natural skin aging process and its improvement through several therapeutic procedures is still in its infancy. The present Special Issue is aimed at increasing our knowledge of the various physiological and pathological skin processes through novel, non-invasive skin imaging techniques which are currently available or under development. This represents an opportunity to expand our comprehension of both skin diseases and these new technologies, which will surely become more and more relevant for current clinical practice.
Dr. Mihai Lupu
Manuscript Submission Information
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- non-invasive diagnosis
- optical coherence tomography
- reflectance confocal microscopy
- RCM-OCT imaging
- multiphoton microscopy
- skin tumors
- inflammatory skin diseases
- skin infestations