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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.

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.

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.

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.

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.

This study presents iSiMPRe, a method identifying protein regions enriched in mutations, revealing potential cancer-related genes and enhancing understanding of mutation effects across a wide range of cancer types.

This study proposes an AI-based method, DRGCC, using GraphSAGE and clustering constraints to predict associations between drugs and diseases, demonstrating reliable predictive performance that may aid drug repositioning efforts, including exploring drugs for COVID-19 treatment.

This study explored a multidimensional approach to examine body hairs' physico-chemical properties, potentially supporting their use over scalp hairs in forensic and intoxication studies.

This study evaluated genetic diversity and morphological trait-associated genes in 897 animals from 14 African sheep breeds, finding the lowest genomic heterozygosity in Zulu sheep and the highest in Merino, with genetic analysis revealing associations between specific morphological traits and certain genes.

This study compiled an archive of 684 genes associated with monogenic hair disorders, identifying previously unrecognized components of Hippo signaling and proposing a new biologically-grounded disease taxonomy.

This study identified Armillaria gallica and Armillaria cepistipes as the most common symbiotic species with Polyporus umbellatus in China, and reported genetic diversity among their genotypes.

This study found a rare germline mutation in the Birt–Hogg–Dubé gene in a Japanese patient with renal cell carcinoma, suggesting distinct biological features and challenging current renal tumor classifications.

In this study, researchers analyzed the chemical constituents of male and female Gynostemma longipes plants and different parts like roots and leaves, identifying significant variations in metabolites which could aid in assessing and selecting quality medicinal materials.

This study established a rapid and accurate ultra-performance liquid chromatographic method for chemical fingerprinting and analyzing Platycladi cacumen, effectively distinguishing batches based on geographical and climatic conditions.

This study identified m6A-related genes, particularly IGF2BP3, as significantly up-regulated in keloid patients, potentially implicating them in the condition's molecular mechanisms and suggesting targets for therapy.

This study outlines the Human Gene Correlation Analysis tool, which classifies human genes by coexpression levels and identifies overrepresented annotation terms in correlated gene groups, with no new clinical results reported.

This study identified differentially expressed mRNAs and lncRNAs in Hu sheep hair follicles, suggesting certain genes and pathways are involved in the development of wool curvature patterns.

This study identified proteins that are differentially expressed in balding versus non-balding dermal papilla cells, potentially aiding the understanding and treatment of androgenetic alopecia.

This study found that M30 may protect against cyclophosphamide-induced alopecia in mice by enhancing hair growth and preventing abnormal hair, suggesting its potential as a treatment.

This study found that OM-X® supplementation effectively prevented adverse biological changes caused by vitamin C deficiency in SMP30/GNL KO mice, improving energy maintenance, antioxidant capacity, and protein synthesis.

This study found that hMSC secretomes from umbilical cord Wharton's jelly had the most potent angiogenic effects, whereas those from adipose tissue demonstrated the weakest angiogenic potential.

This review discusses the properties and therapeutic potentials of beta-sitosterol, highlighting a need for more detailed studies on its mechanisms and long-term effects in humans; it reports no new results.

This study identified the main secondary metabolites in Ziziphus jujuba seeds and confirmed that UPLC-MS/MS and GC-MS effectively demonstrate their pharmaceutical quality.

This study found that topical valproic acid significantly increased hair count in male patients with moderate androgenetic alopecia compared to placebo over 24 weeks.

This study reported that specific non-coding RNAs may regulate the hair follicle cycle in Angora rabbits by acting as competitive endogenous RNAs, enhancing understanding of ncRNA roles in hair growth.

This study suggests that UMPP activation is a key signaling pathway in differentiating primary and secondary hair follicles in cashmere goats.

In this study, researchers identified novel long non-coding RNAs related to cashmere fineness in goats, highlighting a potential regulatory network involving lncRNA XLOC_008679 and its target gene KRT35.

In this study, fractional laser treatment was observed to reverse age-related gene expression changes in skin and enhance dermal remodeling, further improved by multiple treatments.

This article presents a computer imaging algorithm that may automate and enhance the Severity of Alopecia Tool scoring for alopecia areata through texture analysis of pediatric images.

In this study, researchers analyzed spaceflight data from various sources and found that skin issues during spaceflight are linked to DNA damage, mitochondrial dysregulation, and gene alterations, while also highlighting the skin's adaptability post-flight.