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This study reports that the ScalpEye system accurately diagnosed dandruff, folliculitis, hair loss, and oily hair with a precision range of 97.41% to 99.09%.

This study reports that deep learning models, particularly CNN and FCN, achieved high accuracy in diagnosing scalp and skin disorders, suggesting potential for improved diagnostic systems with further advancements.

In this review, researchers detail how immunosenescence and chronic neuroinflammation contribute to Parkinson's disease progression, exploring potential therapeutic strategies targeting this axis, such as senolytic agents and immune rejuvenation, while highlighting associated challenges and future research needs.

This supplementary issue of the Pakistan Journal of Urology contains diverse studies spanning organ donation's significance, surgical techniques, and the comparison of treatments in urology, but it doesn't provide specific research results or detailed findings.

This review summarizes the application of genome wide association studies and selection signature analyses in sheep and goat breeding in China, highlighting genomic regions that influence traits like reproductive performance and body size.

This abstract does not report specific research findings but describes a book titled "Medical Physics and Laser Technology: Advancements and Applications in Modern Healthcare," authored by Zahraa Zuhair Ghafel Saeid and colleagues, which is available for purchase.

In this bibliometric analysis, researchers observed that precision medicine approaches, such as individualized interventions and biomarker-guided subtyping, are increasingly integrated into prediabetes research, highlighting shifts toward using multi-omics data and artificial intelligence for patient stratification and prevention strategies.

This study demonstrated that disrupting EGFR signaling in mice leads to immune sensitivity compromising the hair follicle's protective environment, but JAK1/2 inhibition can restore this immune privilege and stimulate hair growth, suggesting a potential therapy for scarring hair loss diseases like cicatricial alopecia.

This congress summary highlights the COMEF 2023 event, which focused on medical ethics, education, and health through discussions with the theme "Learn, practice, excel," but reports no new research findings.

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.

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 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 study found that machine learning techniques, such as Random Forest, SVMs, and KNN, can significantly improve the early detection and determination of hair loss, potentially transforming treatment with more accurate and personalized approaches compared to traditional methods.

In this study, SNPs in genes affecting skin pigmentation were linked to each skin type's unique response to environmental stress, suggesting potential for personalized skin care products.

This source does not report specific results but compiles information on recent advancements in Advanced Therapy Medicinal Products and regenerative medicine from non-academic sources as of March 2026.

This study found that integrating machine learning enhances the predictive accuracy of forensic DNA phenotyping from low template DNA, achieving high accuracy for traits like eye color, although challenges remain for admixed populations and complex traits.

This study found that optimizing proteomic genotyping conditions from single human hair samples significantly improves the detection of genetically variant peptides, enhancing human identification with high precision across different biogeographic backgrounds.

This study proposed and tested an Ensemble Pre-Learned Deep Learning and Optimized Long Short-Term Memory (EPL-OLSTM) model for classifying Alopecia Areata, achieving a 93.1% accuracy in differentiating healthy from varying severity levels of AA scalp hair using specific datasets.

Personalized medicine is important for treating skin disorders, with new treatments and connections to hormones and genetics being explored.

This study systematically examines how smart biomaterials used with DLP technology can enhance bioprinting in tissue engineering and regenerative medicine, while also identifying current challenges and future research needs.

This article discusses drug repurposing as a strategy to find new uses for existing medications, highlighting its potential benefits like faster development and lower costs, while also addressing challenges such as drug specificity, ethical concerns, and regulatory issues.

This review introduces a framework to integrate bioinspired conductive materials and advanced 3D/4D printing in regenerative medicine for dynamic, responsive tissue regeneration, emphasizing the potential of smart scaffolds to adapt to physiological cues.

This review highlights the potential of regenerative medicine therapies, such as biologics and emerging technologies, to significantly impact aesthetic and reconstructive procedures in plastic surgery and dermatology.

This review highlights the potential of microalgae as sustainable sources for nutraceuticals and cosmeceuticals, emphasizing their applications in functional foods, dietary supplements, and cosmetics for roles such as anti-aging and photoprotection in alignment with sustainability principles.

This case study reports a 70-year-old man with treatment-resistant pityriasis rubra pilaris achieving complete clinical remission with ustekinumab, adding to evidence supporting biologic therapy when TNF inhibitors are unsuitable.

The researchers reported that repurposing the drug eflornithine may offer a treatment option for Bachmann-Bupp Syndrome, highlighting a potential model for other rare diseases.

This review explores the potential of regenerative cosmetics, specifically engineered skin tissues, for rejuvenating aging skin, healing wounds, and restoring hair, offering promising alternatives to traditional dermocosmetic treatments by promoting collagen production, reducing wrinkles, and regenerating hair follicles.

This research explored the use of machine learning and deep learning methods to accurately identify alopecia areata in humans by analyzing facial images and demonstrated the potential of these techniques for medical, security, and commercial applications.

This article provides diagnostic and therapeutic recommendations for hidradenitis suppurativa based on a systematic literature search and expert consensus, but reports no new clinical results.

This study identified a stable combination of house-keeping genes, NCBP3 + SDHA + PTPRA, for normalizing gene expression in goat skin tissues using RNA sequencing.