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Progesterone treatment improved seizures in a woman with menstrual cycle-related epilepsy, but a wrong medication worsened her condition.

This study suggests that dysfunctions and altered expression of aquaporins may play a role in PCOS-related disorders, potentially impacting folliculogenesis and integrating with the insulin-dependent hypothesis of PCOS pathogenesis.

High-quality photos help track hair growth progress in androgenetic alopecia patients.

This study in rats found that a new hydroxypropyl-β-cyclodextrin formulation of minoxidil reduced the adverse cardiovascular and proliferative effects seen with traditional minoxidil solutions.

This study observed that multiple familial trichoepitheliomas commonly presented with a cribriform histopathological tumor pattern, differentiating them from solitary trichoepitheliomas.

This study found that intense pulsed light treatment primarily targets pigmented structures in hair follicles and may damage dermal papilla cells at high energy levels, but stem cells are mostly spared.

The document concludes that hair analysis is not good for assessing nutrition but can detect long-term heavy metal exposure.

This study found that Piezo2 channels are primarily located on sensory axon membranes in mechanosensory end organs, supporting a model where mechanical stimuli activate Aβ RA-LTMR neurons via axon protrusions.

In this study, a computer-aided imaging system accurately measured the width of balding areas in female pattern hair loss, correlating strongly with clinical staging severity.

In this study, UVB exposure was found to alter certain chemical properties of the hair shaft, such as keratin components and water content, without significantly affecting its physical morphology.

This study found that Platelet Rich Plasma is effective as a direct pulp capping agent, comparable to Mineral Trioxide Aggregate, but with potentially better cellular dentinogenic responses and homogenous tissue formation in dogs.

In this study, researchers observed that the combination of hair progenitors and their micro-niche changes every three days in mouse zigzag hair, and disruptions in specific genes affected this rhythm, highlighting the importance of this periodic change for normal hair morphology.

This study suggests that diffuse alopecia areata initially involves an intense inflammatory attack during the anagen phase, progressing through different hair cycle stages with specific shedding patterns.

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.

This study reported successful recovery of biologically active recombinant murine Wnt3a without detergent, suggesting usefulness for structure-activity studies avoiding detergent-related issues.

This book compiles papers from a 1988 symposium on human hair follicle research, highlighting collaboration between dermatology and industry, but reports no new clinical findings.

This study found that Sinja Valley residents possess traditional knowledge of 13 edible oil-producing plant species, yet this knowledge is at risk due to sociocultural changes. Despite its benefits, including treating disorders like gastritis, use of indigenous oils is declining as commercial products become prevalent.

In this study, researchers found that Elastic Net DNA methylation clocks are not accurate for distinguishing between individuals or identifying health markers, but measuring biological "noise" in stable cytosines may serve as a potential biomarker of aging and disease.

In this study, optical coherence tomography detected hair follicles at the dermoepidermal junction not visible on the scalp surface in alopecia areata patients, suggesting OCT may help monitor treatment response.

This study found that scalp thickness and hair follicle depth were reduced in individuals with androgenetic alopecia, and MRI signal intensity was higher compared to those without the condition.

This review discusses syphilis and reports no new clinical findings; it highlights the need for improved prevention and diagnosis to address increasing infection rates globally and in Hungary.

This editorial discusses the implications of neuroimaging for the treatment of epilepsy and reports no new clinical results; the author emphasizes its potential impact on therapeutic strategies.

This study demonstrated that CD19-CAR T cell therapy may promote structural regeneration in the skin of systemic sclerosis patients, as evidenced by histological improvements and fibroblast population changes, suggesting its potential for tissue remodeling in fibrotic diseases.

This study found that γδ T cells play a role in regulating stromal behavior, influencing the composition and vascularity of fibrotic tissues during the foreign body response.

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 found that AI using YOLOv11 architecture can reliably differentiate between hyaluronic acid and silicone oil cosmetic fillers on ultrasound, achieving high accuracy, whereas identifying calcium hydroxyapatite and polymethylmethacrylate remains less consistent, requiring further improvements.

This research found significant associations between gut microbiome composition and 14 out of 37 examined health conditions, suggesting that increased microbial abundance often aligns with favorable health states.

This study developed a culture method to expand and differentiate primary mammary basal cells, identifying key transcription factors like EGR1 and ELF3 that influence Claudin expression and actin organization, offering insights into epithelial cell biology and potential applications in related research fields.

This study reviews methods to ensure the reliability of machine learning models in medical imaging, focusing on bias detection, data drift assessment, and accuracy estimation without ground truth labels to enhance integration into clinical settings.

This study found that their proposed method for facial image restoration using Denoising Diffusion Probabilistic Models produced higher-quality results compared to traditional methods, particularly improving face recognition accuracy with different types of masks.