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This study found that ALRV5XR showed the highest efficacy for terminal hair regrowth in both men and women with androgenetic alopecia, with less treatment resistance compared to other therapies.

This study reports that compound heterozygous loss-of-function mutations in the HEPHL1 gene in a child were associated with abnormal hair and cognitive issues, linking altered ferroxidase activity to hair disorders.

This study proposes a deep learning model using CNN with VGG16, VGG19, and MobileNetV2 architectures, achieving high accuracy in classifying scalp diseases from images, potentially facilitating diagnosis and treatment via mobile devices.

This study found that the global prevalence of alopecia areata is estimated at 1.93%, affecting around 15.05 million people, with significant regional and demographic variations.

This study found that piglets' rapid growth during nursery and lactation was linked to changes in microbiota composition and increased cortisol conversion, highlighting critical early life factors influencing adult microbiota establishment.

In this study, the authors reported that combining PMSC-secretome and Wnt10b in a GelMA hydrogel scaffold promoted effective hair follicle biofabrication and hair growth in a small in vivo experiment. They emphasized the need for larger studies to confirm these results.

In this cross-sectional study, social support was found to improve empowerment and alopecia-related quality of life in breast cancer patients, with an indirect benefit on quality of life achieved through enhanced empowerment.

This review found that current forensic DNA phenotyping panels for biogeographical ancestry and visible traits face significant limitations due to inconsistencies in terminology, genetic understanding, and genotyping technologies, highlighting the need for harmonization and further research.

This study developed a model using cardiovascular radiomics to estimate biological heart age, finding obesity and other health factors strongly correlated with accelerated heart aging.

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 review explores the complexity of human–robot interactions in robotic surgery, finding that complexity increases with conditional autonomy and is predicted to decrease with full autonomy, without reporting new clinical results.

This review discusses the data resources and computational models used in drug repositioning, highlighting their role in discovering unknown drug mechanisms and reports no new empirical results.

In this study, Gaussian process regression models combined with Grey Wolf optimization were used to predict and optimize phenolic and flavonoid content extraction from Carthamus caeruleus L. rhizomes, showing high accuracy and helping improve understanding and extraction processes through a new interactive tool.

This study found that stem cell therapy significantly improved burn healing rates in animal models, with hair follicle stem cells showing particularly strong effects.

Martin-Perez et al. show that rapamycin's beneficial effects in a mouse model of Leigh syndrome are linked to the downregulation of protein kinase C.

This study reports that a novel ketoconazole-loaded microneedle array significantly enhances drug delivery and retention in the skin, demonstrating improved hair growth in animal models, suggesting a promising treatment for androgenic alopecia that addresses current topical therapies' limitations.

This review highlights that iPSC-derived artificial platelets offer a promising alternative to platelet-rich plasma for regenerative medicine, with standardized manufacturing and reproducible pharmacological properties, addressing variability issues associated with donor-derived platelets and showing therapeutic potential in preclinical models of osteoarthritis.

In this study, researchers evaluated various machine learning models for predicting type 2 diabetes risk, finding that Random Forest and K-NN models performed best in terms of precision, recall, accuracy, and other metrics using common symptoms as features.

This study compared JAK inhibitors for moderate-to-severe alopecia areata and found brepocitinib 30mg and deuruxolitinib 12mg to be most effective, though deuruxolitinib may cause more adverse events. Further research is needed for long-term efficacy and safety.

In this study, the researchers evaluated the exposure-response relationship of ritlecitinib on eyebrow and eyelash regrowth and concluded that the established models justify selecting a 50 mg dose for patients with severe alopecia areata, while highlighting differing efficacy among evaluation methods.

This study found that MEGA PROTAC improved the prediction of ternary structures with higher maximum DockQ scores compared to the BOTCP method in 16 out of 22 test cases.

This study found that the ashwagandha extracts ASH-Ext1 and ASH-Ext2 show different pharmacological activities in cell models due to their distinct withanolide proportions, highlighting the need for standardized extraction protocols to ensure consistent therapeutic efficacy.

This research identified two genetic variants that influence the white-spotted coat patterns in Holstein-Friesian cattle, involving regulatory changes in the MITF and KIT genes, confirmed through mouse models, along with possible effects on coat patterns in other cattle breeds.

This paper reviews the advancements and applications of single-cell transcriptomics in animal research, highlighting its potential to enhance understanding of animal nutrition, health, genetics, and disease models.

This review discusses the role of polarity signaling in coordinating tissue mechanics, micro-environmental functions, and cell fate decisions, but it reports no new results, highlighting the need for further study in mammalian models.

This study investigated transcription factors in human trophectoderm cells during development, finding that GATA2 and GATA3 are essential for transforming stem cells into induced trophoblast stem cells, which display characteristics similar to placental progenitor cells, offering new methods for modeling placental-associated diseases.

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 study suggests that the keratins found in reptile and bird skin appendages evolved independently from mammalian hair keratins, highlighting convergent evolution in these species.

This article describes standard methods for studying DNA methylation dynamics in mouse skin and hair follicle stem cells but presents no new research findings.

Forensic medicine is crucial for justice and needs continuous innovation and technology integration.