research In Search of Predictive Models for Inhibitors of 5-alpha Reductase 2 Based on the Integration of Bioactivity and Molecular Descriptors Data.
The models can help find better inhibitors for conditions like baldness and prostate disorders.
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research Functional salivary gland regeneration by transplantation of a bioengineered organ germ
Scientists made working salivary glands in mice using bioengineered cells, which could help treat dry mouth.
research Machine Learning Applications for Drug Repurposing
Machine learning helps find new uses for existing drugs, improving healthcare.
research Alopecia areata incognita: a comment
The author clarified that Alopecia Areata Incognita (AAI) and diffuse Alopecia Areata (AA) are different conditions and the case discussed was actually AA, not AAI.
research Automated quantitative analysis of coat and skin coloration in laboratory animals
A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
research Exploring the Potential of DALL-E 2 in Pediatric Dermatology: A Critical Analysis
DALL-E 2 is only accurate for acne in pediatric dermatology and needs better data for other conditions.
research TECHNOLOGY AS AN EXTENSION OF MAN: THE LIMITS OF THE POSSIBLE AND NEW PARADIGMS
Technology enhances human design thinking, creating new possibilities.
research NIR‐Responsive Multifunctional Artificial Skin for Regenerative Wound Healing
The artificial skin promotes better wound healing and skin regeneration.
research Characterization of Hair Follicle Development in Engineered Skin Substitutes
Engineered skin substitutes can grow hair but have limitations like missing sebaceous glands and hair not breaking through the skin naturally.
research Hair transparency decoding in Asia: From stylists’ perception to in vitro measurement
Higher hair luminosity and shine mean higher perceived transparency.
research Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.
research Robotic Hair Restoration
Robotic hair restoration is a safe, efficient alternative to manual hair transplant, best for men with dark, thick hair and skin, requiring sufficient donor hair and postoperative care.
research Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods
Machine learning can help find new ways to treat alopecia areata.
research Dodatek A: Model matematyczny AL/RC/ASE. Functional Androgen Axis (FOA) - wersja operacyjna v1.2
The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
research Dodatek A: Model matematyczny AL/RC/ASE. Functional Androgen Axis (FOA) - wersja operacyjna v1.2
The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
research Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
research Leveraging nature’s nanocarriers: Translating insights from extracellular vesicles to biomimetic synthetic vesicles for biomedical applications
Biomimetic synthetic vesicles could improve precision medicine by combining natural and synthetic benefits.
research Alopecia areata: Animal models illuminate autoimmune pathogenesis and novel immunotherapeutic strategies
Animal models have helped understand hair loss from alopecia areata and find new treatments.
research Mathematical model for alopecia areata
The model showed that immune system guardians and the cytokine interferon-γ are key in alopecia areata progression.
research Exosome Revolution or Marketing Mirage? AI-Based Multi-domain Evaluation of Claims, Scientific Evidence, Transparency, Public Sentiment, and Media Narratives
research RESEARCHComparing Strategies for Identifying Falls in Older Adult Emergency Department Visits Using EHR Data
Natural language processing is the most accurate method for identifying falls in older adults in emergency departments.
research Template‐directed self‐assembly and growth of insulin amyloid fibrils
A new method speeds up insulin amyloid fibril growth, useful for studying diseases.
research Uncharted waters
New DNA analysis and machine learning are advancing forensic science, improving accuracy and expanding into non-human applications.
research A Comparative Study on the Application of Robotic Hair Restoration Technology Versus Traditional Follicular Unit Excision in Male Androgenetic Alopecia
Robotic hair transplants are easier and quicker to learn than traditional methods.
research Alopecia Areata Incognita
Alopecia areata incognita causes sudden hair thinning, responds well to steroids, and is more common in those with genetic hair loss conditions.
research Generalized Program Slicing for Software Maintenance.
research Bioengineering skin using mechanisms of regeneration and repair
Artificial skin development has challenges, but new materials and understanding cell behavior could improve tissue repair. Also, certain growth factors and hydrogel technology show promise for advanced skin replacement therapies.
research Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation
Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
research Needle Transportable Semi-Automatic Hair Follicle Implanter and Image-Based Hair Density Estimation for Advanced Hair Transplantation Surgery
A new semi-automatic hair implanter could make hair transplants easier, more successful, and more accessible.
research Comparison of Alopecia areata in Human and Nonhuman Mammalian Species
The document concludes that certain rats and mice are useful for studying hair loss in humans and testing treatments.