research Machine Learning--Enhanced Pharmacovigilance Assessment of Cardiac Adverse Events Associated With Minoxidil
Minoxidil is strongly linked to heart problems, and machine learning can improve drug safety checks.
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research Formulation and Evaluation of Anti-Oxidant Herbal Face Cream by using Pomegranate Leaves Extract
The pomegranate leaf extract face cream is stable, non-irritating, and has strong antioxidant and anti-aging effects.
research Formulation and Evaluation of Anti-Oxidant Herbal Face Cream by using Pomegranate Leaves Extract
The pomegranate leaf extract face cream is stable, non-irritating, and has strong antioxidant and anti-aging effects.
research A Comparative Study to Evaluate Efficacy of Prachanna Karma Followed by Chirabilva Lepa and Gunja Lepa in the Management of Indralupta w.s.r to Alopecia Areata
Prachanna followed by Chirabilwa lepa is more effective for alopecia areata than Prachanna followed by Gunja lepa.
research Platelet-rich plasma, low-level light therapy and microneedling for hair loss : an integrative review and case study
Combining PRP, light therapy, and microneedling can significantly regrow hair in severe alopecia cases.
research Red LED Photobiomodulation Enhances Metabolic Activity in Cultured Human Pericytes
Red LED light boosts cell activity and growth, aiding wound healing and blood vessel repair.
research Acute Toxicity Evaluation of Ficus Platyphylla Methanolic Leaf Extract on Wistar Rats
Ficus platyphylla leaf extract is likely safe in high doses, with minor temporary side effects.
research Acute Toxicity Evaluation of Ficus Platyphylla Methanolic Leaf Extract on Wistar Rats
Ficus platyphylla leaf extract is likely safe in high doses for rats.
research Autologous skin transplantation using water extract of bay leaves (Laurus nobilis L.)
Bay leaf extract speeds up skin graft healing and improves tissue regeneration.
research Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
research Pathogenesis of Chemical Leukoderma and Chemical‐Induced Vitiligo
Chemical leukoderma is temporary, while chemical-induced vitiligo can be persistent and harder to treat.
research Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
Machine learning can effectively identify genes to improve wool quality in sheep.
research The legacy of Bruce Ames and mitochondrial DNA mutagenicity: integrating oxidative stress, aging, and modern perspectives
Bruce Ames's work has greatly influenced research on genetics, aging, and health, inspiring ongoing studies on mitochondria and longevity.
research Hair growth efficacy and safety assessment of an ayurvedic leave-on treatment: a clinical trial
The Ayurvedic treatment improved hair growth and reduced hair loss safely.
research Serum Testosterone Level in Female Patients with Adult Acne and Its Correlation with Acne Severity
Testosterone levels don't predict acne severity in adult women.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.
research SAT-369 Marine-Lenhart Syndrome: Case Report
Combining medication and minimally invasive techniques can effectively manage Marine-Lenhart syndrome.
research Machine learning predicts scarring progression in lichen planopilaris: A multidimensional model integrating trichoscopy, vitamin D, and diagnostic timelines
A machine learning model can predict scarring in lichen planopilaris using factors like vitamin D levels and diagnostic delay.
research Effectiveness of anu taila nasya combined with gokshura lepa in khalitya: An ayurvedic and contemporary review
Combining Anu Taila Nasya and Gokshura Lepa may help reduce hair loss and promote regrowth.
research Detection of Serum Levels of Interleukins-17, 21, 6 and Tumor Necrosis Factor-α in Patients with Patchy Alopecia Areata and Their Association with Disease Severity
Higher levels of certain proteins in the blood are linked to more severe patchy alopecia areata.
research 62202 Network meta-analysis (NMA) of FDA-approved JAK inhibitors for alopecia areata (AA) with at least 50% hair loss per SALT score
Some JAK inhibitors are effective for significant hair regrowth in alopecia areata.
research Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research Hypomyelinating leukodystrophy-10 presenting with an additional atypical feature of increased body hair and Mongolian spots
HLD10 can include increased body hair and Mongolian spots.
research Comparative efficacy and safety of low-level laser therapy and topical Minoxidil combination vs. topical Minoxidil monotherapy in androgenetic alopecia management: a systematic review and meta-analysis of randomized controlled trials
Combining laser therapy with minoxidil improves hair growth and satisfaction without extra side effects.
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 Genetic Variant of the Canine FGF5 Gene for the Hair Length Trait in the Akita: Utility for Hair Coat Variations and Welfare in Conservation Breeding
The FGF5 gene variant causes long hair in Akitas, and genetic testing is advised to manage coat length and welfare.
research Identification of Stress-Related Hair Loss and Prevention Through the Application of a KNN Model Based on Machine Learning
Machine learning can predict stress-related hair loss and suggest prevention tips.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
The model accurately detects early-stage hair loss using images.
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 Management of Khalitya (Male pattern hair loss) through prachanna followed by chitrakadi lepa - A case report
The treatment improved hair thickness and reduced hair loss.