research Letters to the Editors: Re: Role of automated devices in hair restoration
Automated devices are beneficial for hair restoration.
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research Spatial Gene Profiling in the Ischemic Heart
A new technology showed that the SOX9 gene might control heart scar formation after injury, suggesting new treatment possibilities.
research Expression and localization of A rtemis serine 516 phosphorylation in human scalp skin
Artemis phosphorylation at Ser516 may help regulate skin and hair structures.
research In Vitro differentiation of hair-follicle bulge stem cells into synaptophysin-expressing neurons: a potential new approach for neuro-regeneration
Hair follicle stem cells can be turned into neuron-like cells, offering a new way for brain repair.
research Parry-Romberg Syndrome Augmented by Hyaluronic Acid Filler
Hyaluronic acid filler can safely and effectively improve facial contour in Parry-Romberg Syndrome.
research Analysis of trichoscopic images using deep neural networks for the diagnosis and activity assessment of alopecia areata – a retrospective study
AI can accurately diagnose and assess alopecia areata using scalp images.
research 850 After skin wounding, noncoding dsRNA coordinates prostaglandins and WNT7b to promote regeneration
Double stranded RNA helps skin wounds heal by coordinating specific proteins and signaling pathways.
research Scalp Micropigmentation
Scalp micropigmentation is a process where tiny dots of pigment are tattooed onto the scalp to create the appearance of a shaved head or fuller hair.
research The study of improvement of hair follicle stem cells of rats in vitro culture identification and differentiation
Rat hair follicle stem cells can be effectively isolated and used for tissue engineering.
research Noncoding dsRNA induces retinoic acid synthesis to stimulate hair follicle regeneration via TLR3
Noncoding dsRNA boosts hair growth by activating TLR3 and increasing retinoic acid.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.
research ТРАВМАТИЗАЦИЯ СЛИЗИСТОЙ ОБОЛОЧКИ ПЕРЕГОРОДКИ НОСА КРЫС ИЗМЕНЯЕТ ПОВЕДЕНИЕ И БАЛАНС ВЕГЕТАТИВНОЙ НЕРВНОЙ СИСТЕМЫ.
Nasal septum injury in rats changes behavior and affects the nervous system.
research eLife assessment: Touch receptor end-organ innervation and function require sensory neuron expression of the transcription factor Meis2
Meis2 is essential for touch sensation and proper nerve connection to touch receptors in certain skin areas of mice.
research A Perspective on RNAi-Based Biopesticides
RNAi-based biopesticides could be safe and effective for pest control with careful development and risk assessment.
research Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
research Effects of Fermented Rhus Verniciflua Stokes Extract (FRVE) on Hair Growth Promote in Hair Cell and Experimental mice
Fermented Rhus Verniciflua Stokes Extract may help hair grow in cells and mice.
research Abstract: Facial Feminization Surgery: Effectiveness, Optimization of the Process and Complications
Facial Feminization Surgery is effective and safe, with minimal complications.
research Association of Anti-Signal Recognition Particle Myopathy with Systemic Lupus Erythematosus
Anti-SRP myopathy can be linked to systemic lupus erythematosus and may improve with specific treatment.
research Temporal expression and steroidal regulation of piRNA pathway genes (mael, piwi, vasa) during Silurana (Xenopus) tropicalis embryogenesis and early larval development
The piRNA pathway genes are crucial in early development and may influence sex differentiation through hormone regulation.
research Mobile phone app from NHS "hack day" is set to transform handovers and task lists
FFA can be mistaken for rosacea, requiring specific treatment for accurate diagnosis and management.
research ANÁLISES COMPUTACIONAIS PREDITIVAS COMO UM NOVO BIOPODER: MODIFICAÇÕES DO TEMPO NA SOCIEDADE DOS SENSORES
Predictive computational analyses have evolved biopower by using technology to track and predict individual and group behaviors.
research Optimizing hair transplant outcomes: integration of AI, robotics, and stem cell therapies
New technologies like AI, robotics, and stem cells have made hair transplants more effective and natural-looking.
research Skipping of Exons by Premature Termination of Transcription and Alternative Splicing within Intron-5 of the Sheep SCF Gene: A Novel Splice Variant
A new mRNA variant of the SCF gene in sheep skin produces a shorter, different protein.
research A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions
A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.
research Virilizing ovarian steroid cell tumor in a 40 year old South Indian female: a case report
A woman's masculine symptoms were caused by an ovarian tumor, which improved after surgery.
research Poly(rC) binding protein 2 acts as a negative regulator of IRES-mediated translation of Hr mRNA
A protein called PCBP2 controls the production of a hair growth protein by interacting with its genetic message and is linked to hair loss when this control is disrupted.
research 598 Response to ritlecitinib treatment based on salt improvement scores in patients with alopecia areata (AA): Post hoc analysis of the allegro phase 2b/3 study
Ritlecitinib significantly improves scalp hair regrowth in alopecia areata patients over time.
research Epidermal Stem Cells in Orthopaedic Regenerative Medicine
Epidermal stem cells show promise for treating orthopedic injuries and diseases.
research Lichen Sclerosus of the Labial Mucosa: A Case Report and Literature Review
Recognizing and treating oral lichen sclerosus is important, but treatment guidelines are lacking.
research Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Machine learning can effectively predict type 2 diabetes risk.