research Design, proof-of-concept of single robotic hair transplant mechanisms for both harvest and implant of hair grafts
A single robotic system can accurately harvest and implant hair grafts, showing promise for real-world use.
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research A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
research HERBSNAP: Advanced Classification of Bhringaraja and Honegone Herbal Species
Machine learning can accurately tell apart False Daisy and Smooth Joy Weed.
research 0040 Machine learning algorithms as tools for identifying predictive autoantibody biomarkers in pemphigus vulgaris
Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.
research Giant pigmented tumour of the scalp—a diffuse neurofibroma or a congenital naevus showing neurofibromatous changes? Immunohistochemical and electron microscopic studies
The tumor likely shows dual neural crest differentiation.
research Transcriptional Profiling in Rat Hair Follicles following Simulated Blast Insult: A New Diagnostic Tool for Traumatic Brain Injury
Hair follicles can help diagnose traumatic brain injury quickly and non-invasively.
research Human Dermal Fibroblasts Demonstrate Positive Immunostaining for Neuron- and Glia- Specific Proteins
Fibroblasts can be mistaken for neural cells, so functional validation is needed.
research Highly Efficient Neural Differentiation of CD34-Positive Hair-Follicle-Associated Pluripotent Stem Cells Induced by Retinoic Acid and Serum-Free Medium
Hair follicle stem cells can become nerve cells using specific treatments.
research LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
research Ppp2r2a Knockout Mice Reveal That Protein Phosphatase 2A Regulatory Subunit, PP2A-B55α, Is an Essential Regulator of Neuronal and Epidermal Embryonic Development
The PP2A-B55α protein is essential for brain and skin development in embryos.
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 Forensic DNA Phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges due to inconsistent terminology, limited genetic understanding, and debates over technology and models.
research 43367 Infantile Pacinian Neurofibroma: A Rare Neurogenic Tumor
A rare benign scalp tumor in an infant requires surgical removal.
research Detecting shortcut learning for fair medical AI using shortcut testing
The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
research Multipotent Neural Crest Stem Cell-Like Cells from Rat Vibrissa Dermal Papilla Induce Neuronal Differentiation of PC12 Cells
Rat whisker cells can help turn other cells into nerve cells and might be used to treat brain injuries or diseases.
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 Discovery of HAP Stem Cells
HAP stem cells in hair follicles could help repair nerves and spinal cords.
research A texture-driven model for male baldness
The document concludes that the new model realistically simulates male baldness and could be useful for medical purposes and entertainment.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
research Evaluation of loci to predict ear morphology using two SNaPshot assays
Genetic markers can help predict ear shapes for forensic use.
research Generative Artificial Intelligence Tools: Evaluating Ways to Automate Your SALT ( GATEWAYS ) Scoring of Alopecia Areata
Generative AI tools can accurately score alopecia areata, reducing subjectivity in evaluations.
research Evaluation of DNA Variants Associated with Androgenetic Alopecia and Their Potential to Predict Male Pattern Baldness
DNA variants can predict male pattern baldness, with higher risk scores increasing baldness likelihood.
research Exosomes from Hair Follicle Epidermal Neural Crest Stem Cells Promote Acellular Nerve Allografts to Bridge Rat Facial Nerve Defects
Exosomes from stem cells help improve nerve repair in rats.
research Mind the Gap: A Solution to the Robustness Problem of Turing Patterns Through Patterning Mode Isolation
Pattern mode isolation improves the reliability and predictability of Turing patterns.
research Neural progenitor cell-derived nanovesicles promote hair follicle growth via miR-100
Tiny particles from brain cells help hair grow by targeting a specific hair growth pathway.
research Multipotent nestin‐expressing hair follicle stem cells
Hair follicle stem cells can turn into various cell types and help repair nerves.
research Remote photobiomodulation ameliorates behavioral and neuropathological outcomes in a rat model of repeated closed head injury
Remote photobiomodulation improves brain injury outcomes and behavior in rats.
research Therapeutic Potential of Nerve Growth Factor-Modified Hair Follicle Stem Cells Transplantation in a Rat Model of Alzheimer’s Disease
NGF-modified hair follicle stem cells may help treat Alzheimer's by improving brain function and reducing harmful proteins.
research Induced pluripotent stem cell–derived mesenchymal stem cells enhance acellular nerve allografts to promote peripheral nerve regeneration by facilitating angiogenesis
Stem cells improve nerve repair by enhancing blood vessel growth.
research Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.