research Role of the Wnt signaling pathway in keratoacanthoma
The Wnt signaling pathway is not a major factor in the development of keratoacanthoma, a type of skin tumor.
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research The role of versican in the skin ECM and its interaction with hyaluronic acid
Hyaluronic acid and versican are important for skin healing and hair growth and might help in regenerative medicine.
research Therapeutic Effect of a Xeno-Free Three-Dimensional Stem Cell Mass in a Hind Limb Ischemia Model
Xeno-free three-dimensional stem cell masses are safe and effective for improving blood flow and tissue repair in limb ischemia.
research Cutaneous Side Effects of Chemotherapy and Radiotherapy
Chemotherapy and radiotherapy can cause skin side effects like rashes, hair loss, and nail changes, which are usually managed with conservative treatments.
research ESGCT and FSGT Collaborative Congress Helsinki, Finland September 17–20, 2015 Abstracts
The congress highlighted new gene therapy techniques and cell transplantation methods for treating diseases.
research Atlas of Geriatric Dermatology
The book details skin conditions in older adults, their link to mental health, cancer treatment importance, hair loss remedies, and managing autoimmune and itchy skin.
research Outcome and clinical–biological characteristics of patients with advanced breast cancer undergoing removal of ovarian/pelvic metastases
Patients with advanced breast cancer and high hormone receptor levels who had surgery for ovarian/pelvic metastases lived longer, especially if they had high estrogen receptor levels.
research Deep phenotyping of skin tissue remodeling in patients with systemic sclerosis treated with CD19-CAR T cells
CD19-CAR T cell therapy may help regenerate skin in systemic sclerosis.
research Advances in nanomaterial-mediated CRISPR/Cas delivery: from lipid nanoparticles to vesicle-derived systems
Ionizable lipid nanoparticles are the best for delivering gene-editing therapies.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.