The skin provides a life-sustaining interface between the body and the environment. Recent findings highlight the complex regulatory networks that control skin immunity, inflammation, tumor, and regeneration. However, the chronic recurrent disease course is partly known because the disease mechanisms are not well-understood, though much progress has been made in the past years. Thus, the goals of the accepted research articles in this Research topic are expected to help better understand the disease pathophysiology and discuss better surgical therapies with more efficacies and fewer adverse effects.
Deep learning (AI) has emerged as a promising technology of artificial intelligence in recent years. With continuous progress in the field of deep learning, artificial intelligence has made great breakthroughs in the field of medicine. Researchers have also shown positive outcomes in the smart diagnosis of the skin or other disorders including retinal disease based on medical images. Yet the mechanism of disease and artificial intelligence in diagnosis is seldom linked together and investigated synergistically.
Scope:
The aim of this Research Topic is to encourage new discoveries about skin disorders and skin regeneration. This Research Topic also welcomes materials on the role of skin surgeries in therapies for skin disorders and lesions such as (but not limited to)
• Skin biopsy (punch biopsy, shave biopsy, incisional biopsy and excision biopsy)
• Mohs microscopically controlled excision
• Cryotherapy (liquid nitrogen)
• Subcision
• Electrosurgery
• Curettage and cautery
• Wound closure
• Skin grafting
• Artificial intelligence-aided skin lesion diagnosis & surgery
Both Original Research articles and Review articles are welcome. Preferred subtopics include but are not limited to:
• Rare skin disorders
• Advancements in the treatment of skin disorders including skin immunity, inflammation, tumor, and regeneration
• Advanced technologies in skin engineering
• Novel molecular and cellular mechanisms in the development of skin tumors or other disorders
• Stem cells-based treatments for skin regeneration
• System review of skin wound healing and skin regeneration
• Computational and bioinformatics techniques for skin cancer
• Application of bioinformatics methods in skin tissue regeneration
• New insights and innovations of AI techniques in skin disorders and other diseases;
• Application of AI in forensic microbiology, data processing model establishment and algorithm optimization, innovation and real-world clinical application;
Please note: Descriptive studies (e.g. gene expression profiles, or transcript, protein, or metabolite levels under particular conditions or in a particular cell type) and studies consisting solely of bioinformatic investigation of publicly available genomic/transcriptomic data do not fall within the scope of the journal unless they are expanded and provide significant surgical or mechanistic insight into the process being studied.
The skin provides a life-sustaining interface between the body and the environment. Recent findings highlight the complex regulatory networks that control skin immunity, inflammation, tumor, and regeneration. However, the chronic recurrent disease course is partly known because the disease mechanisms are not well-understood, though much progress has been made in the past years. Thus, the goals of the accepted research articles in this Research topic are expected to help better understand the disease pathophysiology and discuss better surgical therapies with more efficacies and fewer adverse effects.
Deep learning (AI) has emerged as a promising technology of artificial intelligence in recent years. With continuous progress in the field of deep learning, artificial intelligence has made great breakthroughs in the field of medicine. Researchers have also shown positive outcomes in the smart diagnosis of the skin or other disorders including retinal disease based on medical images. Yet the mechanism of disease and artificial intelligence in diagnosis is seldom linked together and investigated synergistically.
Scope:
The aim of this Research Topic is to encourage new discoveries about skin disorders and skin regeneration. This Research Topic also welcomes materials on the role of skin surgeries in therapies for skin disorders and lesions such as (but not limited to)
• Skin biopsy (punch biopsy, shave biopsy, incisional biopsy and excision biopsy)
• Mohs microscopically controlled excision
• Cryotherapy (liquid nitrogen)
• Subcision
• Electrosurgery
• Curettage and cautery
• Wound closure
• Skin grafting
• Artificial intelligence-aided skin lesion diagnosis & surgery
Both Original Research articles and Review articles are welcome. Preferred subtopics include but are not limited to:
• Rare skin disorders
• Advancements in the treatment of skin disorders including skin immunity, inflammation, tumor, and regeneration
• Advanced technologies in skin engineering
• Novel molecular and cellular mechanisms in the development of skin tumors or other disorders
• Stem cells-based treatments for skin regeneration
• System review of skin wound healing and skin regeneration
• Computational and bioinformatics techniques for skin cancer
• Application of bioinformatics methods in skin tissue regeneration
• New insights and innovations of AI techniques in skin disorders and other diseases;
• Application of AI in forensic microbiology, data processing model establishment and algorithm optimization, innovation and real-world clinical application;
Please note: Descriptive studies (e.g. gene expression profiles, or transcript, protein, or metabolite levels under particular conditions or in a particular cell type) and studies consisting solely of bioinformatic investigation of publicly available genomic/transcriptomic data do not fall within the scope of the journal unless they are expanded and provide significant surgical or mechanistic insight into the process being studied.
