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This study developed a deep learning model using the VGG architecture to predict hair disorders and provide tailored therapeutic suggestions, showing reliable recognition of conditions like dandruff, fungal infections, and alopecia by analyzing images of hair and scalp.

In this narrative review, the authors highlighted that AI-supported electronic health record analysis could help recognize Polycystic Ovary Syndrome/Polyendocrine Metabolic Ovarian Syndrome earlier, but also warned that these systems might perpetuate historical biases if not properly validated and interpreted.

This review synthesizes recent research to propose a precision framework for treating androgenetic alopecia and alopecia areata based on genetic insights and pathway biology, highlighting the roles of androgen-receptor signaling, immune dysregulation, and emerging therapies like regenerative medicine and AI-assisted diagnostics.

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.

This study utilized the Random Forest Algorithm to create a machine learning model aimed at accurately predicting hair loss by considering complex datasets involving genetic, hormonal, lifestyle, and environmental factors, but specific outcomes were not reported.

This source provides an overview of diagnostic and treatment innovations for gastrointestinal disorders, such as wireless capsule technology for motility assessment and new methods for treating constipation and nausea, highlighting both current and emerging techniques.

This review discusses the advantages of robotic hair transplantation using the ARTAS iX robot compared to manual Follicular Unit Extraction, emphasizing enhanced precision, speed, and hair preservation capabilities, and reports no clinical results.

Innovative methods are reducing animal testing and improving biomedical research.

This study found that Oncostatin M, via JAK-STAT5 signaling, keeps hair follicle stem cells inactive, and its removal leads to hair growth initiation in mice.

This review highlights that microRNAs (miRNAs) play crucial roles in hair follicle development and cycling in cashmere goats, detailing recent advances in understanding their regulatory functions and potential applications in improving cashmere fiber quality and diagnosing hair disorders.

This review highlights new perspectives in genomics and epigenomics for skin rejuvenation, comparing innovative strategies like senolytics and DNA repair modulators with classical treatments, and emphasizing the importance of tailoring therapies using individual genomic profiles for personalized anti-ageing approaches.

This review discusses recent advancements in mobile technology and artificial intelligence for dermatology, offering an overview of their current applications but reports no new clinical findings.

This study reviewed current scientific evidence on the use of exosomes for treating alopecias, finding they may stimulate dermal papilla cell proliferation and modulate inflammation, though challenges in standardization and long-term efficacy remain.

This study reports that publicly available large language models are currently less accurate than human experts in diagnosing trichoscopic images, suggesting the need for further development and specialized training for these AI tools in trichology.

This study evaluates a framework using neural networks and machine learning techniques to classify and detect Alopecia Areata from hair images, aiming for accurate differentiation between healthy hair and the condition.

This review reports that while deep learning shows promise in diagnosing scalp disorders from images, challenges remain with data quality and model interpretability, suggesting that integrating explainable AI techniques is crucial for building trust and facilitating clinical adoption.

In this review, the potential role of the hormone prolactin in skin biology and its implications for treating skin diseases and hair disorders are explored, with a focus on its stress-related impacts and possible immunomodulatory function in the context of COVID-19.

This study explores potential treatments for post COVID-19 complications using natural substances through molecular docking, but reports no new clinical results and existing treatments remain limited to prophylaxis and therapeutics.

This study found that coconut seed extract may effectively treat scabies in rabbits by improving infection signs and causing high mite mortality, suggesting its potential as a cost-effective herbal alternative.

This study developed BroadAMP-GPT, a computational-experimental framework, to discover new antimicrobial peptides, identifying candidates effective against multidrug-resistant pathogens. Notably, AMP_S13 showed strong stability, low toxicity, and efficacy in infection models, highlighting the platform's potential in combating antimicrobial resistance.

This study proposed a model that accurately predicts skin condition using genotype information and machine learning, suggesting potential for creating customized cosmetics.

This review discusses recent advancements in bone tissue engineering, emphasizing a shift from passive to smart responsive antibacterial strategies to prevent implant-associated infections, and highlights AI's role in optimizing bone scaffold design for personalized, infection-free implants.

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 study reviewed the potential of Lupeol, a natural triterpenoid, in promoting hair growth and reducing inflammation related to alopecia, revealing promising molecular pathways and favorable pharmacokinetics while suggesting further research to validate these findings.

This review examined 40 studies on exosome-based therapies for alopecia areata, reporting significant hair regrowth and improvements in hair count, length, and thickness, but highlighted the need for standardized methodologies and robust RCTs before clinical application.

This systematic review investigated colchicine as a potential treatment for various skin conditions, finding that most studies reported generally positive clinical outcomes when used alone or with other drugs, despite some variability in results.

In this study, researchers identified two person-centered sexual function profiles among women, linked to physical and psychological factors, with PCOS showing greater, though not significant, presence in the dysfunction profile. The dysfunction was associated with higher adiposity and body-image distress.

This article provides an overview of microneedle technology for transcutaneous drug delivery, discussing microneedle designs, materials, and activation methods that enhance drug stability and regulated release, and outlines considerations for their successful clinical implementation, such as biocompatibility and production cost.

This meta-analysis found that platelet-rich plasma treatments significantly increased hair density in patients with androgenic alopecia, with results influenced by treatment frequency and patient age.