research Computational drug discovery of potential 5α-reductase phytochemical inhibitors and hair growth promotion using in silico techniques
Jamogenin from plants may help hair growth and is a potential alternative to finasteride.
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510-540 / 1000+ results research Integrated edge information and pathway topology for drug-disease associations
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
research Development of a Predictive Model for Iron Levels in Bovine Muscle Tissue Using Hair as a Predictor
Hair can accurately predict iron levels in cattle muscle, helping diagnose mineral imbalances.
research Skin Extenders
Skin extenders help treat baldness with fewer side effects.
research Hair Transplantation
Hair transplants can effectively treat hair loss but may need multiple sessions for full results.
research Chemically Induced Hair Loss/Alopecia
Certain chemicals and drugs can cause hair loss.
research Evidence-Based Hair Transplantation
Hair transplantation can effectively restore hair in stabilized hair loss cases.
research Advantages of Microvascular Free Scalp Flap Transfer as a Means of Hair Transplantation
Microvascular free scalp flap transfer is an effective method for hair restoration.
research Mesotherapy for Treatment of Male-Type Alopecia
research PIXE microanalysis in green hair
Copper levels in green hair decreased significantly after treatment.
research Hair Follicle Transglutaminases and the Formation of ε-(γ-Glutamyl) Cross-links
Transglutaminases help form strong hair by linking proteins, and can potentially alter hair properties.
research Human Hair Pigment: A Mild Isolation Procedure and a Method for Characterization
A new method was developed to gently isolate hair pigment while keeping its structure intact.
research Skin diseases
Skin ages and changes due to sun, wind, and aging, causing dryness, thinning, and hair loss.
research Sculpting the future: A narrative review of 3D printing in plastic surgery and prosthetic devices
3D printing is increasingly used in plastic surgery and prosthetics, but more research is needed.
research Proceedings of the Ninth World Congress for Hair Research (2015)
The 2015 Hair Research Congress concluded that stem cells, maraviroc, and simvastatin could potentially treat Alopecia Areata, topical minoxidil, finasteride, and steroids could treat Frontal Fibrosing Alopecia, and PTGDR2 antagonists could also treat alopecia. They also found that low-level light therapy could help with hair loss, a robotic device could assist in hair extraction, and nutrition could aid hair growth. They suggested that Alopecia Areata is an inflammatory disorder, not a single disease, indicating a need for personalized treatments.
research Abstracts from the 4th Annual Student Medical Summit
The document concludes that more research is needed to reduce frequent hospital visits, addiction medicine education improves with specific training, early breast cancer surgery findings are emerging, nipple smears are not very accurate, surgery for older melanoma patients doesn't extend life, a genetic condition in infants can often be treated with one drug, doctors are inconsistent with blood clot medication, a certain gene may protect against cell damage, muscle gene overexpression affects many other genes, and some mitochondrial genes are less active in mice with tumors.
research Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
The new AI system improves remote skin condition diagnosis and access to care.
research Machine Learning Guided Discovery of Superoxide Dismutase Nanozymes for Androgenetic Alopecia
Machine learning identified promising nanozymes for treating hair loss.
research Machine Learning-Driven Optimization of Therapeutic Substance Composition for High-Hardness, Fast-Dissolving Microneedles for Androgenetic Alopecia Treatment.
Machine learning optimized microneedles for hair loss treatment showed better hair regrowth than minoxidil without safety risks.
research A Data-Driven Approach to Polycystic Ovary Syndrome Diagnosis: Evaluating Machine Learning Models
Machine learning can improve early and accurate detection of PCOS.
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 OR20-01 Machine Learning-based Steroid Metabolome Analysis In Women With Polycystic Ovary Syndrome Reveals Three Distinct Androgen Excess Subtypes With Different Metabolic Risk Profiles.
Machine learning identified three unique subtypes of androgen excess in women with PCOS, each with different metabolic risks.
research Applying Machine Learning Technique on Registry Data to Assess Factors Associated With In-Hospital Mortality Among STEMI Patients With Hypertension
research Supplemental Materials: Machine Learning Applications in Androgenetic Alopecia: A Systematic Review
research Supplemental Materials: Machine Learning Applications in Androgenetic Alopecia: A Systematic Review
research GBP1 as a machine learning-prioritized biomarker and therapeutic target for epstein-barr virus-induced clear cell renal cell carcinoma: multi-omics causal validation
GBP1 is a key target for treating Epstein-Barr virus-related kidney cancer, and finasteride may help.
research AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
The new AI software predicts melanoma outcomes more accurately than traditional methods.
research How Can Clinicians Leverage Vibe Coding for Machine Learning and Deep Learning Research?
Clinicians can use vibe coding to easily engage in machine learning research without needing to know Python.
research The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline
The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
research Global Research Trends for Platelet-Rich Plasma: A Science Mapping with Machine Learning Techniques
The USA, China, Italy, and Türkiye lead in diverse PRP research, focusing on healing and pain management.