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This review explores the therapeutic potential of brown adipose tissue for treating polycystic ovary syndrome and reports no new experimental results, emphasizing the need for future research to develop effective strategies.

In this study, researchers found that coordinated intercellular Ca2+ signaling among basal stem cells in mice is crucial for cell cycle progression and tissue-wide communication during epidermal regeneration.

This review discusses the experimental strategies and technological challenges of proton minibeam radiotherapy (pMBRT) and reports no clinical results; it highlights the potential of using a 3 GHz linear accelerator for precision therapy research.

This systematic review provides an in-depth evaluation of non-invasive imaging and biophysical methods for diagnosing and monitoring vitiligo, emphasizing the need for studies with larger sample sizes to verify their use in clinical practice and research.

This review highlights the evolution of forensic genetics from basic DNA analysis to complex genome-wide studies, enabling insights into personal traits, ancestry, and habits, and suggests future advancements through technologies like CRISPR and AI.

This review discusses the growing role of colorimetric sensors in food safety, highlighting their potential to enhance detection accuracy and manageability, while also noting challenges such as environmental interference and the need for further industrial validation.

This study developed a 3D bioprinted skin model to mimic pemphigus vulgaris, providing a tool to study disease mechanisms and test targeted therapies by reproducing the architecture and pathogenic disruptions of native skin.

This review highlights how utilizing unconventional and non-traditional cell sources for cultivated meat production could overcome manufacturing challenges, with distinct biological advantages potentially improving bioprocess efficiency and enabling the creation of novel meat products, according to the authors.

This study introduced a high-viscosity epoxy photoresist to enhance the fabrication of complex microstructures with monolithic integration and mechanical stability, enabling advancements in two-photon 3D printing for creating functional micro-mechanical devices.

This research identified unique gut microbiota patterns in alopecia areata patients, with potential as diagnostic biomarkers and suggesting avenues for microbiota-focused therapies.

This study introduces a novel computational model using fuzzy logic and multi-criteria decision-making techniques to create a triage system for androgenetic alopecia management, stratifying patients into seven severity levels and aiding in resource allocation and treatment planning.

MultiKano accurately identifies cell types in complex data better than existing methods.

This study concluded that fractional laser therapy, alone or combined with minoxidil or cortisol, effectively treated alopecia areata, showing better outcomes than the drugs alone, without increasing adverse effects, though effectiveness did not significantly differ from similar physical treatments.

This chapter discusses various skin diseases and the adaptation of clinical trial methods to different dermatological conditions, without providing new research findings.

This article reviews the biological and physical principles of laser hair removal and reports that current laser systems do not consistently achieve permanent hair follicle destruction across treated areas.

This review discusses the role of gut microbiota in autoimmune and immune-mediated dermatological conditions like lupus and psoriasis, but reports no new clinical results; the authors emphasize the need for further study into microbial signatures and treatments.

This review highlights current and future AI applications in hair restoration and diagnosis of hair disorders, including automated systems for hair detection and self-diagnosis, emphasizing the need for experts to understand their benefits and limitations.

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 in male rats found that Cernitin™ significantly relieved pain and decreased prostate weight in models of chronic prostatitis and benign prostatic hyperplasia, suggesting an anti-inflammatory effect.

This review highlights that surface mechanical regulation can program macrophage behavior through specific mechanical cues on material surfaces, potentially advancing immunotherapies and regenerative medicine by enabling precise control over macrophage functions.

This narrative review found that while AI-based tools in dermatology, particularly for hair disorder assessment, have potential to enhance clinical practice by improving objectivity and personalization, they currently serve mainly a complementary role and face challenges like methodological limitations and data bias.

This study demonstrated that a CNN-based model using VGG-16 architecture achieved a 94.5% accuracy in classifying ten types of hair diseases, implying a promising tool for aiding health professionals in diagnosing hair conditions accurately.

This study developed a high-resolution phototrichogram system that can automatically and accurately assess hair growth metrics in cosmetic trials, achieving over 90% correlation with manual measurements.

This study confirmed that microneedle therapy systems (MTS) significantly improve hair growth and skin conditions, including acne and acne scars, without serious side effects.

This study found that a centrifugation protocol of 1300 rpm/246 g for 20 minutes followed by 1600 rpm/373 g for 20 minutes achieved the highest platelet yield in platelet-rich plasma.

This study reviews the transformative role of artificial intelligence in biomaterial design, highlighting its ability to reduce costs through virtual screening, enhance material performance, and predict biological interactions to advance personalized and precision medicine.

This study identified distinct human and bacterial protein profiles in sebaceous follicular casts, with acne samples showing proteins linked to inflammation and normal samples showing proteins involved in stress protection.

This article discusses the foundational concepts of nanotechnology and its contributions to dermatology and medicine, but does not present new research findings.

This study reported that the PM-DBiGRU model enhances aspect-level sentiment classification in drug reviews, outperforming existing methods on the newly proposed SentiDrugs dataset.

In this article, the authors describe how drug repurposing, supported by large-scale data and artificial intelligence, can make drug discovery more cost-effective and expedient compared to traditional methods, despite certain regulatory challenges.