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This study reports the development of a prototype robotic hair transplant system capable of efficiently harvesting and implanting hair grafts, showing promising accuracy and performance in tests using a spherical scalp phantom.

This review highlights various plant-based and herbal treatments that reportedly help prevent hair loss and encourage hair growth. It also explores the molecular mechanisms, identified plant compounds, recent technologies such as nanoarchitectonics, and patents related to hair growth promotion.

This study identified a primitive coarse wool characteristic in Merino sheep that enhances environmental adaptability and fine wool yield without reducing quality, suggesting that epigenetic mechanisms, particularly involving the imprinted Gtl2-miRNAs locus, regulate this advantageous trait.

This source reviews the potential of 3D printing, biomaterials, and smart sensors in tissue engineering, noting their application in creating artificial membranes for skin and tissue regeneration and assessing their strengths and limitations for wound dressing development and disease modeling.

This study suggests that the curly hair phenotype in Mangalitza pigs may involve complex gene interactions related to calcium signaling and lipid metabolism, rather than changes in TRPM2 or CYP4F3 expression.

This study observed defects in hair cuticle cross-linking in some, but not all, mouse mutants with sparse or structurally unsound hair.

In this study, a deep learning model using an optimized VGG19 architecture achieved a high classification accuracy of 98.64% for detecting ten hair disease classes from a balanced dataset, indicating its potential for reliable use in mobile diagnostics for clinical and remote applications.

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 study describes previously unknown immune characteristics of the normal human nail, highlighting its similarities to the hair follicle immune system and suggesting an immune privilege in the proximal nail matrix that both provides autoimmunity protection and presents infection susceptibility.

Mutations in the DSG4 gene cause specific hair and scalp issues.

This study found that curcumin administration improved cognitive and anxiety-related behaviors and neurochemical levels in HgCl₂ exposed mice pups, suggesting protective effects against heavy metal-induced neurotoxicity.

This study found that celery supplementation improved cognition and behavioral disorders in LPS-exposed mouse offspring by increasing levels of dopamine, acetylcholinesterase, and serotonin in the forebrain.

This study identified multiple genetic variants in Pakistani families with oculocutaneous albinism, including two novel variants, enhancing understanding of its genetic basis and aiding better management and counseling.

This Mendelian randomization study found that specific dietary patterns, such as consuming antioxidant-rich foods like melon and tea, may have protective effects against hair loss, while processed carbohydrates, alcohol, and certain dairy products could increase the risk of androgenetic alopecia and alopecia areata.

This study explored a mother and daughter with loose anagen hair syndrome linked to wooly hair, identifying an intronic variant in the KRT71 gene that affects hair keratin splicing, thus broadening the spectrum of KRT71-related disorders.

In this study, MitoQ was found to enhance hair growth and reverse DHT-induced hair loss in a mouse model of androgenetic alopecia by mediating the WNT/β-catenin pathway and increasing CYP19A1 expression, suggesting potential as a therapeutic intervention.

This review highlights the lack of research on Afro-textured hair, emphasizing the need for better understanding of its genetic traits and molecular structure to develop more effective hair care solutions.

In this study, researchers found that young men with androgenic alopecia exhibited significantly higher mRNA levels of 5α-reductase isozymes and changes in prostate cancer-related genes, which could explain varying responses to treatment and guide future therapies.

This study found that a deep learning framework using the ResNet50 model achieved 95% overall accuracy in classifying 10 categories of hair diseases, demonstrating reliable performance but also identifying potential improvements due to misclassifications between similar conditions.

This study evaluated a novel, user-friendly approach for detecting hairfall trends over time using machine learning models. The Temporal Fusion Transformer model demonstrated high accuracy in identifying anomalies in hair shedding patterns, potentially aiding in the early detection of health risks related to hormonal fluctuations.

This study evaluated various NLP models for detecting bias in medical curricula, finding that fine-tuned BERT models perform well, whereas LLMs, despite being state-of-the-art in many tasks, are unsuitable for this application.

This study introduced a novel, weakly supervised method for segmenting hair in Scanning Electron Microscope images using simple image-level annotations, achieving over 30% improvement in mean Hausdorff Distance compared to Unet and SAM, while enhancing interpretability and refinement.

This study revealed that frizzled 3 can fully rescue polarity defects in frizzled 6-null mice, while frizzled 6 can partially rescue defects in frizzled 3-null mice, highlighting conserved signaling roles in these proteins.

This study found that the combination of Stemoxydine® and Resveratrol improved hair density in women with Female Pattern Hair Loss.

This research presents the Dodatek A model, elaborating on androgen function through new mathematical indices and methodological improvements, shifting focus from serum hormone concentrations to system interactions to better describe androgen activity comprehensively.

This study found that AI using YOLOv11 architecture can reliably differentiate between hyaluronic acid and silicone oil cosmetic fillers on ultrasound, achieving high accuracy, whereas identifying calcium hydroxyapatite and polymethylmethacrylate remains less consistent, requiring further improvements.

This study introduces ALUDWIG, an automated tool for assessing female androgenic alopecia severity from smartphone images, which may offer a more consistent alternative to current scoring methods like the Ludwig scale.

In this study, the BaldGraphFormer framework, integrating visual and clinical data, outperformed unimodal baselines in early-stage androgenetic alopecia detection, achieving an F1-score of 97.62% and macro-average AUC of 0.992, suggesting its potential to support dermatological decision-making and early intervention.

The model can effectively identify good quality skin images but needs more testing for real-world use.