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This review highlights the limitations of mouse models in human hair loss research and emphasizes the potential of using human cell bioengineered models and artificial intelligence for future advancements, but reports no new clinical results.

This study found that a stochastic follicular automaton model replicates hair follicle cycle fluctuations, with deterministic simulations aligning with steady-state levels as follicle numbers increase.

This review highlights recent advances in hair follicle research, noting that new 3D culture techniques have enabled formation of HF-like structures in vitro, offering potential benefits for alopecia and burn patients, but it reports no new clinical results.

This study found that organoid cultures of human epithelial and mesenchymal cells can produce hair peg-like structures, and their growth is enhanced by minoxidil, suggesting potential for hair drug screening.

This review outlines the transition from simple hair follicle organoids to immune-competent microphysiological systems, addressing limitations in replicating native hair follicle immune features and discussing their applications in disease modeling and regenerative medicine.

In this study, low-intensity ultrasound was investigated as a noninvasive method for promoting hair regrowth in androgenetic alopecia using C57BL/6 male mice, revealing that specific frequencies and intensities can safely enhance hair regrowth compared to controls by optimizing mechanical effects without causing unsafe cavitation.

In this systematic review, the authors found that hair loss in women causes significant psychological distress, with supportive interventions like cognitive behavioral therapy and cosmetic solutions helping to reduce anxiety, improve coping, and enhance quality of life.

This article discusses the development of a management strategy for baldness using complementary medicine, particularly Ayurveda and yoga, but reports no clinical results; further studies are needed.

This study presents a new method using UPLC-ESI-MS/MS for analyzing the constituents of a medicinal herbal complex extract, which includes herbs traditionally used to prevent hair loss and promote hair growth; no clinical results were reported.

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 review discusses common hair loss conditions and explores how advancements in hair follicle biology might lead to more effective treatments but reports no new results.

This study found that valproic acid promoted human hair growth by increasing β-catenin levels, suggesting it may be a potential therapeutic option for alopecia.

In this study, researchers reported that the activation of EDA2R by p53 leads to p53-dependent cell death in cancer cells and is involved in chemotherapy-induced hair loss.

The conclusion is that small hair follicles cause baldness in macaques, and treatments like antiandrogens and minoxidil can prevent hair loss and promote regrowth.

This study in hairless rats suggests that the deletion of specific hair keratin genes contributes to hypotrichosis and highlights the strain's potential as a model for hair follicle research.

This study reported that a novel vasodilator drug called TOP-M119, when delivered using a specially designed dissolving microneedle system, showed enhanced targeting of hair follicles and effectiveness in treating alopecia, demonstrated through in vitro, ex vivo, and in vivo studies involving mouse skin.

This study used a 3D simulation to show that human hair provides varying levels of UV protection depending on head orientation and hair alignment, highlighting hair's role in scalp UV protection, especially for those with alopecia.

This paper proposes an integrated model suggesting that psychological stress, sleep disturbances, nutrition, lifestyle, and various biological factors collectively influence hair health, including hair loss and premature greying.

This study synthesizes evidence on the complex interplay between stress, sleep, nutrition, lifestyle, and systemic health and their impact on hair health, encompassing premature greying, hair loss, and follicle cycling.

Many are open to telemedicine for hair loss if combined with in-person visits and better technology.

This study evaluated an AI-driven system for personalizing non-medicated hair loss treatments in women, showing significant improvements in hair growth, shedding, texture, and scalp health over 24 weeks, with no adverse effects reported.

This study developed a model for detecting sparse hair clusters using enhanced object detection neural networks and medical images, which accurately identifies and counts sparse hair clusters with greater accuracy and efficiency than existing methods.

This source presents the Drug Database for Hair Loss Disorders, offering comprehensive details about pharmacological agents for treating hair loss conditions, including information on chemical properties, efficacy, and safety, aimed at supporting research and drug development.

This study introduced the Drug Database for Hair Loss Disorders, which provides comprehensive details on pharmacological agents used to treat hair loss conditions, aiding research and development efforts in drug companies through accessible chemical properties, mechanisms, and efficacy data.

This review examines the anatomy and physiology of hair, focusing on the hair growth cycle and various types of alopecia, using animal models such as mice and rats to study the condition's pathophysiology and aid in developing new treatments.

This study developed a mathematical model to simulate immune interactions and hair cycle dynamics in alopecia areata, identifying influential factors affecting hair growth and offering insights into potential treatment strategies by targeting immune dysregulation.

In this study, researchers developed a mathematical model to explore how immune system dynamics affect hair follicle behavior in alopecia areata, identifying key parameters influencing disease progression and suggesting potential treatment strategies targeting immune dysregulation.

This study developed a follicular automaton model that simulates human hair cycle dynamics and can replicate hair pattern changes associated with diffuse or androgenetic alopecia.

This review discusses various in vitro and in vivo models for studying hair follicle function, noting their potential in developing new treatments for hair disorders but reports no new results.

This review discusses the expression of circadian genes in hair follicles and their potential for monitoring circadian-rhythm-related conditions, reporting no clinical results; the authors suggest combining hair sampling with other assessments for better insight.