5 citations
,
January 2025 in “Burns & Trauma” This review highlights recent research using single-cell RNA sequencing and machine learning in wound healing, revealing significant insights into fibroblast diversity, immune cell dynamics, and the spatial organization of cells, which may transform therapeutic strategies for chronic wounds, fibrosis, and tissue regeneration.
41 citations
,
June 2022 in “Biomedicines” This study proposes reclassifying PCOS into two distinct phenotypes based on androgen levels and suggests androgen supplementation may overcome IVF resistance in one group with advancing age.
April 2017 in “Journal of Investigative Dermatology” In this study, deep phenotyping of 68 patients with XPD gene defects successfully separated individuals by clinical diagnosis and survival status, potentially improving diagnosis and prognosis for xeroderma pigmentosum and trichothiodystrophy.
2 citations
,
July 2025 in “Drug development & registration” This study developed and tested a new algorithm for analyzing coat and skin coloration in laboratory animals, using digital images and hierarchical color clustering, which effectively quantified color proportions and tracked changes over time without specialized software.
January 2020 in “SSRN Electronic Journal” This study observed distinct clusters of autoantibodies in children with pSLE, with significant differences in several clinical manifestations like hair loss, oral ulcers, arthritis, neurological symptoms, renal issues, and AIHA among the clusters.