research Recent Advances in the Electro-Active Therapeutic Phytochemical-Based Sensors
Plant-based sensors can help in healthcare but need skilled technicians.
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research Using a Natural Clay Mineral as an Active Drug Carrier to Promote Hair Growth
Illite can effectively carry minoxidil for hair growth without causing scalp irritation.
research Solubility Preformulation Screening of Minoxidil in Different Natural Oils Using Experimental and Computational Approaches
Minoxidil dissolves best in shea butter, stearic acid, and rosemary oil, which may improve hair growth treatments.
research The Effects of Spermidine on Functional and Transcriptomic Markers in Human Primary Keratinocytes
Spermidine may improve skin health and hair growth by enhancing cell function.
research Caffeine as an Active Molecule in Cosmetic Products for Hair Loss: Its Mechanisms of Action in the Context of Hair Physiology and Pathology
Caffeine may help with hair loss, but more research is needed to confirm its effectiveness.
research Rejuvenating senescent hair follicles: a novel conjugated linoleic acid based nanovesicle approach to treat androgenic alopecia
A new treatment using special nanovesicles with linoleic acid shows promise in improving hair growth and reducing irritation for hair loss.
research Corrigendum to "Fabrication of carboxymethyl cellulose/hyaluronic acid/polyvinylpyrrolidone composite pastes incorporation of minoxidil-loaded ferulic acid-derived lignin nanoparticles and valproic acid for treatment of androgenetic alopecia" [Int. J. Biol. Macromol. 249 (2023) 126013].
research Breaking the “rule-of-five” to access Bridged Bicyclic Heteroaromatic Bioisosteres
A new method creates valuable compounds for drug discovery by breaking traditional chemical rules.
research Hyaluronic acid-FGF2-derived peptide bioconjugates for suppression of FGFR2 and AR simultaneously as an acne antagonist
The new anti-acne treatment HA-P5 effectively reduces acne by targeting two key receptors and avoids an enzyme that can hinder treatment.
research 27604 Response to baricitinib in the treatment of patients with early and late onset alopecia areata in the phase 2 portion of BRAVE-AA1 randomized controlled trial
Baricitinib was effective in treating both early and late onset alopecia areata.
research Intranasal sensitization model of alopecia areata using pertussis toxin as adjuvant
Pertussis toxin may contribute to hair loss in alopecia areata.
research PCA: A tFNA-based targeted nucleic acid nanocomposite hydrogel for the treatment of androgenetic alopecia through the promotion of angiogenesis and hair follicle stem cell proliferation
PCA hydrogel promotes hair growth by enhancing blood vessel formation and hair follicle stem cell activity.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research Anticoronavirus Isoquinoline Alkaloids: Unraveling the Secrets of Their Structure–Activity Relationship
Certain alkaloids could help create new coronavirus drugs.
research Computing Your Ideal Haircut Routine
The ideal haircut routine can be determined using a model based on hair growth and regular haircuts.
research Cytotoxic Effect of YH239-EE and Its Enantiomer on MCF7 Cell Line
The (+) enantiomer of YH239-EE effectively kills breast cancer cells.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
research Confirmatory factor analysis of the causal illness attribution scale in Chinese patients with multiple somatic symptoms
The two-factor model fits better for Chinese patients' understanding of illness causes than the original four-factor model.
research Behavioral effects and somnolence due to levetiracetam versus oxcarbazepine — a retrospective comparison study of North Indian patients with refractory epilepsy
Levetiracetam often causes behavioral issues, while oxcarbazepine is more likely to cause sleepiness in epilepsy patients.
research Vertex Overload: A Thermo Mechanical and Metabolic Framework for Androgenetic Alopecia
Hair loss is caused by mechanical, thermal, and metabolic stress, not just hormones.
research G.P.2.16 Valproate, acetylcarnitine, folic acid and vitamin B12 in spinal muscular atrophy: Preliminary data of an open-label study in children
The treatment with valproate, acetylcarnitine, folic acid, and vitamin B12 may improve muscle strength in children with SMA without significant side effects.
research MSCs and their exosomes: a rapidly evolving approach in the context of cutaneous wounds therapy
MSCs and their exosomes may speed up skin wound healing but need more research for consistent use.
research Role of Aire and Notch4 Allelic Mutations in Alopecia Areata in C3H/HeJ Mice
Aire mutation reduces alopecia areata, while Notch4 mutation prevents it in mice.
research CNN-KNN Model for Assessing Hair Health in Telogen Effluvium
The model accurately predicts hair breakage in Telogen Effluvium, aiding early detection and treatment.
research A double-blind, placebo-controlled study with Kevis lotion
research Hair vibrancy: A quantitative multi‐modal approach bridging consumer perception, expert and instrumental evaluation
Hair vibrancy involves how hair looks and feels, helping create better hair products.
research Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
Artificial neural networks can accurately diagnose Alopecia Areata.
research Oxytocin receptor expression in hair follicle stem cells of valproic acid-induced rat model of autism: Insights for autism spectrum disorder
Oxytocin receptor changes in hair cells may help identify autism, especially in males.
research Revolutionizing Hair Fall Analysis: The Advanced Precipitation U-Net Model
The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.