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In this study, tubular 3D bioprinted structures made from sodium alginate and gelatin, containing NIH/3T3 fibroblast cells, demonstrated the ability for cell growth and network formation over 6 weeks, although structural tensile strength decreased with cell growth and polymer degradation.

This article proposes a machine learning framework for classifying healthy hair and alopecia areata using image processing and classification techniques, but does not report new clinical findings.

This study reported that a new deep learning algorithm using Mask R-CNN improved hair follicle classification accuracy by 4 to 15%, suggesting potential clinical application for enhanced hair loss diagnosis.

This study found that the HairComb algorithm achieved high accuracy in quantifying percentage hair loss across various types of alopecia, suggesting its potential for standardized automated assessments.

This study presented a new algorithm and camera-based system that successfully reconstruct high-quality, 3D representations of facial hair and underlying skin surfaces even in dense regions like eyebrows.

This review highlights that drug repositioning offers a cost-effective alternative to traditional drug discovery, especially for treating orphan and resistant diseases like COVID-19, by repurposing existing drugs such as Hydroxychloroquine and Remdesivir.

In this study, researchers found that a low-cost USB dermoscope can effectively detect microscopic hair changes associated with early female pattern hair loss, making it a useful tool for diagnosis even without expensive equipment or programs.

This study observed that ethnic Indian women with PCOS often experience early symptom onset, delays in diagnosis, and report poor quality of life, highlighting the need for culturally tailored healthcare approaches.

A new reliable scale improves accuracy in measuring hair density and treatment response.

This review highlights the clinical usefulness of bimatoprost in lowering intraocular pressure for glaucoma patients and its promising results in promoting hair growth for conditions like alopecia, with research also exploring potential new applications and delivery systems.

This study found that a nano-preparation of quercetin, using a self-nanoemulsifying drug delivery system, was more effective than standard quercetin in reducing cardiac complications and tissue damage in rats with metabolic syndrome, although both formulations similarly reduced oxidative and inflammatory markers.

This case report describes an 18-month-old male with ichthyosis follicularis alopecia photophobia syndrome who experienced transient improvement in skin symptoms after oral isotretinoin treatment.

This study found that differences in skin transcriptomes between juvenile and adult mink, as well as between black and white mink, suggest genes regulating hair color are active during early development rather than adulthood.

This review discusses the repurposing of natural products for COVID-19 treatment but reports no new clinical findings, highlighting ongoing research to target host and viral mechanisms.

Adjusting hair dryer settings improves drying efficiency and keeps hair healthy.

In this study, the application of hibiscus hair oil combined with Gua-sha improved eyebrow hair rejuvenation more effectively than hibiscus oil alone in female participants, enhancing microcirculation and aesthetic features after 30 days.

This bibliometric analysis reviewed 4,515 articles on strabismus research from 2004 to 2023, highlighting a shift towards innovative and interdisciplinary treatment methods, with significant contributions noted from the USA, China, and the UK.

This study examines the effects of excessive or prolonged exposure to blue light on retinal function and highlights its potential health implications, noting that both photoreceptor and intrinsically photosensitive retinal ganglion cells (ipRGCs) are particularly sensitive to blue wavelengths.

This case report describes a rare association where herpes zoster infection may have triggered the first attack of NMOSD with systemic vasculitis in a patient, suggesting potential overlaps in immunopathogenesis.

This review summarizes advancements in forensic DNA phenotyping for appearance, ancestry, and age prediction from crime scene samples, reporting no new research findings but highlighting areas needing further research and validation.

This review discusses the evolution of surgical robotics and examines the potential and current limitations of autonomous and intelligent systems in robotic-assisted surgeries.

This study reports that emotion recognition technology integrated with intelligent devices is advancing applications to support emotion recognition and interventions, though further research is needed for effective use in dynamic or complex environments.

This study found that artificial intelligence assistance improved diagnostic accuracy in dermatologic cases for primary care physicians and nurse practitioners, with higher agreement rates with reference diagnoses observed.

This study demonstrated that current facial recognition software can accurately identify individuals from MRI head scans within minutes, highlighting significant privacy concerns for clinical trial participants and the need for enhanced data protection measures.

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.

In this study, a novel GAN-based image translation method focusing on regions of interest showed improved predictive performance for post-hair transplant images compared to existing methods, using an ensemble approach to enhance robustness and detection accuracy.

In this study, researchers developed a machine learning model that accurately diagnosed scalp conditions like fine dandruff and perifollicular erythema with 75% and 82% accuracy, respectively, and created a user-friendly web platform for scalp health self-assessment, which achieved high user satisfaction.

This study introduced a multitask learning method to identify shortcut learning in clinical ML systems, revealing it's not always responsible for unfairness and emphasizing the necessity of comprehensive fairness approaches in medical AI.

This research discusses the shift in cosmetic dermatology towards integrating regenerative medicine, AI, and personalized care, highlighting their potential to improve aesthetic outcomes and skin function while considering ethical and regulatory challenges.

This review highlights that gut dysbiosis and bacterial extracellular vesicles are key factors in PCOS pathophysiology, and suggests AI-driven analysis of these profiles could enhance diagnostic accuracy and treatment personalization, though ethical concerns like data privacy and bias must be considered.