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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 review discusses the integration of Artificial Intelligence in non-surgical cosmetic procedures, highlighting its potential to improve personalized aesthetic care and operational efficiency while addressing ethical and regulatory challenges; it presents no new clinical findings.

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.

This study evaluated machine-learning models to predict PCOS among reproductive-aged women in Bangladesh, finding that the XGBoost model achieved high accuracy (99.63%) and effectiveness, particularly when prioritizing clinical features over psychological ones in the predictive process.

This thesis examines the medicalization of the male and female body from the 19th century to the present, highlighting how biomedicine has shaped norms around health and illness.

The document concludes that while some advocate for a patient voucher system, it may be unequal and current healthcare reforms should be given a chance, and it also recommends various medical books for their comprehensive coverage and advice on specific health issues.

Understanding breast cancer requires considering both medical advancements and social influences.

This study found that ensemble machine learning models effectively predict hair fall by combining the strengths of individual algorithms, leading to higher accuracy, precision, and recall in identifying hair and non-hair fall instances compared to single algorithms.

This study introduced a novel deep clustering approach for melanoma detection from dermoscopic images, demonstrating improved performance over existing methods by mitigating class imbalance issues using a center-oriented margin-free triplet loss.

This review examines dandruff and seborrheic dermatitis, highlighting the role of Malassezia yeasts in inflammation and hyper-proliferation, and reports no new clinical findings.

This article reviews the complexities and challenges in classifying systemic lupus erythematosus and the problematic role of the anti-dsDNA antibody as a biomarker, without presenting new experimental findings.

This review discusses major advances in understanding inherited hair diseases through genetic research and reports no new clinical results; the authors emphasize the potential for new preventive and therapeutic tools.

This review discusses the addition of skin cancer caused by UV irradiation to the list of occupational diseases in Germany and reports no new clinical results.

This article reviews options and principles for reconstructing defects of the scalp, skull, orbit, and maxilla, but reports no new clinical results.

This study reports that a new protocol using Angio PRP improved wound healing in mice by enhancing key healing processes and regulating inflammation, suggesting potential for clinical advancements.

This study found that modeling and simulation effectively informed decision-making and dose selection for ritlecitinib in treating alopecia areata, supporting an accelerated drug development strategy.

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 used in vivo confocal microscopy and a ResNet34 deep learning model to classify meibomian gland images with an AUROC greater than 0.95, indicating its potential for automatic diagnosis and screening of meibomian gland dysfunction.

This study highlights the use of data mining techniques to identify malnutrition and nutritional deficiencies contributing to global health burdens, but it presents no new research findings.

This review discusses 'vibe coding', a new approach that allows clinicians with minimal coding skills to utilize machine learning tools for medical research by using natural language directives to generate and refine code through AI-driven platforms.

In this study, researchers suggest that hair follicle miniaturization in conditions like androgenetic alopecia may result from impaired conversion of quiescent stem cells to progenitor cells, influenced by the follicular niche, its collagen network, and various mechanical constraints.

In this study, DOP treatment improved hair regrowth in androgenetic alopecia by altering local steroid metabolism and follicular morphology.

This review posits that alopecia in PCOS results from the interaction between local follicular signaling failures, insulin resistance, inflammation, and genetic predispositions, rather than solely from androgen excess, and recommends a systems-level framework for its management.

This study reviews advances in targeted therapies for moderate-severe dermatological conditions like plaque psoriasis and atopic dermatitis, reporting on newly approved treatments and highlighting the need for further innovations in managing rare inflammatory skin diseases through emerging laboratory techniques and trials.

This study established consensus guidelines for diagnosing and managing androgenetic alopecia in Egypt, emphasizing individualized care and emerging therapies based on a survey of Egyptian dermatologists and refinement through expert review.

This report details a six-month internship experience, split between hospital and community pharmacy settings, which enhanced practical skills and theoretical knowledge in pharmaceutical care and highlighted the pharmacist's role in ensuring safe medication use.

This source analyzes linguistic difficulties faced by speakers of East Slavic languages learning Polish, emphasizing challenges in pronunciation, vocabulary, and grammar. It suggests that tailored educational materials comparing linguistic nuances can improve learning outcomes by highlighting important differences between the languages.

This source highlights the emerging field of psychodermatology, which examines the interplay between psychological factors and skin disorders, noting a historical lack of attention due to inadequate professional training and emphasizing the need for integrated care involving dermatologists, psychiatrists, and psychologists.

The document updates on EU legal changes, including pharmaceutical patents, class actions in Italy, and various drug-related rulings.

This article discusses the role of filaggrin gene mutations in understanding atopic dermatitis and their link to allergic sensitization but does not report new clinical results.