research Assessment of cardiovascular risk in patients with androgenetic alopecia using high-sensitivity C-reactive protein and lipoprotein a
People with androgenetic alopecia have a higher risk of heart disease.
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90-120 / 1000+ resultsresearch Qualitative and Quantitative Assessment of Taste and Smell Changes in Patients Undergoing Chemotherapy for Breast Cancer or Gynecologic Malignancies
Chemotherapy reduces taste and smell, but they mostly recover after treatment; adding spices may help improve appetite.
research Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
research Introductory Chapter: Learning and Recognizing the Post-COVID Syndromes
Long COVID affects many survivors with ongoing symptoms, needing more research and care.
research Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation
The LTF gene may help predict and manage nonspecific orbital inflammation.
research Innovative approaches to baldness detection and management with artificial intelligence and machine learning
research Epigenetic Mechanisms, Assessment and Therapeutics of Epidermal Stem Cells in Skin Aging
Epigenetic changes in skin cells contribute to aging, but targeting these changes may offer new antiaging treatments.
research Indian Medicinal Herbs and Formulations for Alzheimer’s Disease, from Traditional Knowledge to Scientific Assessment
Indian herbs like Bacopa monnieri and Centella asiatica may help memory, but more research is needed.
research Treatment options and emotional well-being in patients with rosacea: An unsupervised machine learning analysis of over 200,000 posts
Rosacea patients often discuss treatments and emotional struggles online, highlighting the need for professional support.
research Prediction of therapeutic outcomes of female pattern hair loss patients based on clinical features with application of artificial intelligence
Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
research Oral minoxidil for late alopecia in cancer survivors
Oral minoxidil effectively improves hair regrowth in cancer survivors with late alopecia.
research Past, present, and future of global research on artificial intelligence applications in dermatology: A bibliometric analysis
AI in dermatology is growing rapidly, showing promise in diagnosing skin conditions as accurately as dermatologists.
research Whole Neonatal Cochlear Explants as an In vitro Model
The new method makes it easier to study the whole cochlea from newborn mice and rats in the lab.
research Innovations in skin microphysiological systems for nonclinical testing and FDA modernization
New technologies replicate human skin for testing without animals.
research Surgical Treatment of the Brow and Upper Eyelid
Individualized assessment and meticulous planning are crucial for successful brow and upper eyelid surgery.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
research Regenerative Strategies for Androgenetic Alopecia: Evidence, Mechanisms, and Translational Pathways
New regenerative treatments show promise in improving hair growth for androgenetic alopecia.
research Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
research Dermatologia e Procedimentos Estéticos Ed. XXVII
Continuous learning and personalized treatments are crucial in dermatology due to rapid technological advancements.
research P62: An increase in Breslow thickness: coronavirus or coincidence?
The pandemic likely caused delays in skin cancer assessments, leading to fewer early diagnoses and thicker melanomas.
research PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics uses AI to find new disease treatment targets and biomarkers.
research Using artificial intelligence to compute Severity of Alopecia Tool scores
AI can accurately measure hair loss severity in alopecia areata.
research Knowledge Mapping of Drug Repositioning’s Theme and Development
Drug repositioning can save time and money but needs more support.
research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
research Analysis of modern approaches to hair care: An overview of products and techniques
Personalized hair care using modern techniques and science is essential for healthy hair.
research A State-of-the-Art Overview on (Epi)Genomics and Personalized Skin Rejuvenating Strategies
Personalized skin rejuvenation using genomics shows promise but needs more research.
research Neuropharmacological profile of Eclipta alba (Linn.) Hassk
Eclipta alba extract improved learning, memory, and stress-related ulcers in rats without affecting movement or causing anxiety.
research HAIR LOSS AND REGENERATION PERFORMED ON ANIMAL MODELS
Animal models are crucial for learning about hair loss and finding treatments.
research 2018 ISPAN Meeting Abstracts
The 2018 ISPAN Meeting emphasized hands-on learning, patient safety, and professional growth in medical aesthetics and reconstructive practices.