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This study introduces Kalya Research, an AI-driven tool designed to identify and categorize literature on complementary and alternative medicines, showing its effectiveness compared to Medline in finding relevant alopecia research within the context of breast cancer patients.

This systematic review synthesizes the current state of drug repurposing, revealing its potential in various therapeutic areas like oncology and infectious diseases through insights from mechanistic studies and real-world evidence, and discusses emerging tools and challenges in the field.

In this study, prenatal ultrasonography was found to be a valuable tool for screening ectodermal dysplasia during pregnancy, and a new EDA gene variant associated with X-linked hypohidrotic ectodermal dysplasia was identified, aiding in more accurate diagnoses and reproductive decision-making.

This review discusses major advances in understanding inherited hair diseases through genetic research and reports no new clinical results; the authors emphasize the potential for new preventive and therapeutic tools.

This study observed that using the Fisher score feature selection approach with capsule network models led to a promising 94% accuracy in diabetes detection, indicating its potential as a diagnostic tool.

This study used association rule mining and network analysis to identify frequently combined herb sets for treating alopecia from 56 articles, highlighting the potential of Polygonum multiflorum, Angelica sinensis, and Ligusticum chuanxiong in traditional medicine and suggesting further bioinformatics research to understand their efficacy.

This study developed a genetic toolbox to engineer Cutibacterium acnes for dermal applications, successfully creating a strain that secretes antioxidants to reduce oxidative stress in a UV stress model.

This review critically examines Forensic DNA Phenotyping, highlighting high accuracy in predicting certain traits but also legal and ethical challenges, particularly around regulatory fragmentation and issues of genetic privacy.

This study highlighted the effectiveness of HT-scCAT-seq as a tool for understanding gene regulation in single cells, offering insights into embryonic skin development and proposing a framework for exploring regulatory mechanisms in various biological and disease contexts.

This study found that the transcriptome of skin stem cells in mice changes significantly with age, revealing specific age-dependent biological programs and transcriptional hubs.

This review discusses techniques for analyzing the cell cycle, highlighting emerging tools for measuring cell cycle speed at single-cell resolution in live animals, and reports no new results.

In this study, iPSC-derived epidermal organoids demonstrated potential as a novel tool for regenerative medicine by producing high-performance extracellular vesicles that promote proliferation, migration, and angiogenesis in cell-free therapies for wound healing.

In this study, the researchers reported that their novel algorithm for hair restoration in dermoscopy images achieved high accuracy and texture preservation, outperforming other techniques in diagnostic accuracy and texture quality measures.

In this study, type I interferon response-related genes activated by RIG-1 and IL-17 signaling pathways were significantly up-regulated in both hair follicles and skin tissues affected by chronic discoidal lupus erythematosus.

This study found that type I interferon response-related genes activated by RIG-1 and IL-17 pathways were significantly up-regulated in hair follicle and skin samples with chronic discoidal lupus erythematosus.

This study demonstrated that metabolomics could identify persistent biomarkers distinguishing between heavy ion and γ radiation exposures, offering a potential tool for assessing long-term radiation risk for intestinal pathologies.

This review examines the use of computer vision techniques, specifically deep learning architectures and image processing algorithms, for detecting and assessing skin conditions like vitiligo and dermatitis, and highlights the need for disease-specific datasets to improve automated diagnostic tools in dermatology.

In this research, sequencing the chloroplast genomes of 10 Sansevieria trifasciata cultivars allowed the identification of a trnT-psbD deletion marker capable of distinguishing closely related species, and highlighted evolutionary links with Dracaena, contributing molecular tools for taxonomy and phylogenetic studies in Asparagaceae.

This study integrated single-cell RNA-seq data from four previous studies to create a comprehensive human corneal cell state meta-atlas, revealing novel marker genes, rare cell states, and distinct transcription factors, and offering a tool to enhance future cornea research.

In this study, researchers used transcriptomics and modeling to uncover previously unknown cell populations and marker genes in developing hair follicles, providing insights into early cell fate establishment and offering tools for further research on skin appendages.

This study developed a deep learning-based method that identified 3,620,516 potential drug-disease associations, suggesting a promising tool for large-scale virtual screening in drug research.

In this study, researchers developed a 3D in-vitro system for generating functional AT-resident macrophages without cell sorting, providing a valuable tool to study their differentiation and function in various physiological and pathological conditions.

This study found that DrugNet, a network-based prioritization method, effectively improves drug repositioning tasks, achieving high performance in validation tests and clinical trial comparisons.

This study identified new potential targets and indications for several marketed drugs using in silico profiling, suggesting opportunities for drug repositioning.

In this study, researchers developed a new photoactivatable Cre recombinase mouse model, DiLiCre, which allows precise light-induced genetic modifications and cell tracing, demonstrating its effectiveness for advancing biological and biomedical research.

This study found that specific SNPs in the sheep FAT1 gene are significantly associated with wool quality traits, suggesting potential markers for improving wool crimp, fibre length, and fibre diameter in breeding.

This review highlighted the role of microRNAs (miRNAs) in gouty arthritis, emphasizing their potential influence on disease progression through immune and inflammatory regulation, and their prospective use in diagnosis, prognosis, and therapy.

This study found that mutations in the TULP3 gene are associated with progressive degeneration of the liver, kidney, and heart in adults, highlighting the importance of early detection and management.

This review examines the current landscape of drug repositioning, highlighting that computational methods expand possibilities for reusing existing drugs to treat unmet medical needs. The authors discuss both the potential of these methods and the challenges faced in identifying new therapeutic applications.

This study concluded that the GIANT brain atlas, which integrates genetic and neuroanatomical variations, provides a more accurate representation of brain structure than traditional neuroanatomical atlases, allowing for better exploration of genetic influences on the brain.