research Mechanism of apoptosis in oral squamous cell carcinoma promoted by cardamonin through PI3K/AKT signaling pathway
Cardamonin may help treat oral cancer by promoting cell death and stopping cancer cell growth.
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research Fully Natural Lecithin Encapsulated Nano-Resveratrol for Anti-Cancer Therapy
Lecithin-encapsulated resveratrol nanoparticles could be a safe and effective anti-cancer treatment.
research The shifting preferences of patients and physicians in nonsurgical hair loss treatment
Minoxidil and Finasteride are the most popular hair loss treatments, with rising interest in other options, and economic or health crises can change what treatments people prefer.
research Flow-guided hair removal for automated skin lesion identification
The new method removes hair from skin images quickly and accurately to help identify skin lesions better.
research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research Restoring neuropetide Y levels in the hypothalamus ameliorates premature aging phenotype in mice
Increasing neuropeptide Y in the brain can slow aging signs in mice.
research NLKFill: high-resolution image inpainting with a novel large kernel attention
NLKFill improves high-resolution image inpainting by effectively capturing image details and enhancing speed.
research High-throughput phenotyping methods for quantifying hair fiber morphology
Hair fiber shape and curvature are not significantly linked when ancestry is considered.
research ELL Facilitates RNA Polymerase II–Mediated Transcription of Human Epidermal Proliferation Genes
ELL is crucial for gene transcription related to skin cell growth.
research How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders
AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
research Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms
Researchers found four genes that could help diagnose severe alopecia areata early.
research Sequence and structure based assessment of non-synonymous SNPs in hypertrichosis universalis
Two specific SNPs in the TRPS1 gene cause excessive hair growth by altering the protein's structure.
research Clonal expansion from standing genetic variation underpins the evolution of an emerging plant pathogen in Australia
The plant pathogen in Australia evolves through existing genetic variation, not new genotypes.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research Root hair specification and its growth in response to nutrients
More research is needed to understand how nutrients affect root hair growth.
research Disorders of ovulation
Ovulation disorders are a major cause of infertility and menstrual problems in women.
research Forensic DNA Phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges due to inconsistent terminology, limited genetic understanding, and debates over technology and models.
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research Effects of molybdenum on growth and fruit quality of small fruit melon (Cucumis melo L.) cultivated under high-temperature stress
Using 0.1 mg·L–1 molybdenum improves melon growth, quality, and yield under high heat.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research Comparison of self-assessed and clinician-assessed hirsutism diagnosed according to the modified Ferriman-Gallwey scale among female outpatients in Brazil
Self-assessed hirsutism scores are not reliable for clinical diagnosis but may help in screening.
research An Overview of Chemotherapy Side Effects on Patients with Prostate Cancer, Bladder Cancer, and Testicular Cancer at Haji Adam Malik General Hospital Medan from 2020-2022
Chemotherapy for prostate, bladder, and testicular cancer patients commonly causes hair loss, fatigue, and decreased appetite.
research Machine Learning Approach for Predicting Systemic Lupus Erythematosus in Oman-based Cohort
The machine learning model accurately predicts Systemic Lupus Erythematosus in Omani patients.
research Cost-effectively dissecting the genetic architecture of complex wool traits in rabbits by low-coverage sequencing
Low-coverage sequencing is a cost-effective way to identify genes related to wool traits in rabbits.
research Efficient Editing of CSLD2 Orthologue by CRISPR/Cas9 Affects Cell Morphogenesis of Root Hair in Spinach
CRISPR/Cas9 editing in spinach affects root hair growth by altering specific genes.
research Resident Stem Cell in Skin
Skin stem cells can help improve skin repair and regeneration.
research MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
MSF-VMDNet accurately segments skin cancer images better than existing methods.
research Artificial Intelligence in Non-Surgical Cosmetic Procedures: A Multi-Stakeholder Revolution
AI is revolutionizing non-surgical cosmetic procedures by improving personalization, safety, and access.
research Modeling Oxidative Stress-Linked Telogen Effluvium Using Monte Carlo Simulation of Published Trichoscopy Norms and Cannabis Exposure Distributions
Higher cannabis exposure may lead to increased hair loss.
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.