research Transcriptomes reveal microRNAs and mRNAs in different photoperiods influencing cashmere growth in goat
Different amounts of daylight affect cashmere growth in goats by changing the activity of certain genes and molecules.
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research The Gut-Scalp Axis: A Systematic Review of Dietary Interventions on Microbiome Dysbiosis in Scalp Disorders
Dietary interventions improved hair density and reduced dandruff by balancing scalp microbiota and reducing inflammation.
research A Critical Evaluation of Evaluations for Long-form Question Answering
Current automatic metrics for long-form question answering don't align with human preferences; a multi-faceted evaluation approach is needed.
research STRIAA (Severity TRichoscopy Index Alopecia Areata): Validation of a Novel Trichoscopic Tool for Evaluation of Alopecia Areata
The STRIAA tool helps doctors quickly and effectively assess the severity of Alopecia Areata.
research Progress in computer-assisted function analysis
research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research Artificial Intelligence-Based Personalization of Treatment Regimen for Hair Loss: A 6-Month Clinical Trial.
AI-personalized hair loss treatments improved hair growth and scalp health without side effects.
research Development of the AAcQLI : A New Instrument for Assessing Quality of Life in Children With Alopecia Areata
The AAcQLI is a promising tool for assessing quality of life in children with alopecia areata.
research BEYOND HAIR LOSS: EXPLORING THE EVOLUTION OF ANDROGENETIC ALOPECIA RESEARCH BASED ON TEXT MINING AND BIBLIOMETRICS
Data visualization tools are crucial for understanding and advancing androgenetic alopecia research.
research Alopecia areata incognito: an elusive disease
Accurate diagnosis of alopecia areata incognito requires trichoscopy and histopathology.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods
Machine learning can help find new ways to treat alopecia areata.
research Alopecia Areata Incognita
Alopecia areata incognita causes sudden hair thinning, responds well to steroids, and is more common in those with genetic hair loss conditions.
research La relación que presenta la calidad de vida y la condición física en un grupo de adultos mayores que realizan actividad física en Toluca, Estado de México.
Better physical condition leads to improved quality of life in older adults.
research Acne is a medical and social problem
Acne affects mental health and requires comprehensive treatment.
research A férfi és női testek medikalizációja a XIX. századtól napjainkig
Medicalization has shaped how society views health and gender roles over the past 200 years.
research Efecto del plasma rico en plaquetas en el tratamiento de las cicatrices por acné: revisión sistemática y metaanálisis
Platelet-rich plasma (PRP) effectively improves acne scars.
research Un asentamiento de la primera Edad del Hierro en el término de Raposal (Arnedo, La Rioja)
The early Iron Age settlement at Raposal shows diverse cultural influences and challenges previous ideas about settlement types in the Ebro Valley.
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 AnnoPharma: Detection of substances responsible of ADR by annotating and extracting information from MEDLINE abstracts
AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
research Using artificial intelligence to analyze publicly available social media posts to understand patient perspectives toward specific treatments of alopecia areata
Patients generally feel positive about alopecia areata treatments, but emotions vary by treatment type.
research 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
research ABHRS Profile
The document's conclusion cannot be summarized because the content is not accessible or understandable.
research The Epochal Transition Vol.1 No.8 (March 2026) 时代跃迁 第八期
The "Danti Original Source" method can reverse androgenetic alopecia.
research Alopecia Areata Incognita: Current Evidence
Alopecia areata incognita causes sudden hair loss but usually improves with topical steroids.
research Psychometric validation of the Spanish alopecia areata–life impact questionnaire
The SAALIQ is a reliable tool for measuring the impact of alopecia areata on Spanish-speaking patients' quality of life.
research Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
research The Telephone Translation Game: An Illustration of Translation Challenges
Translation can lead to misunderstandings in clinical research.
research Rule-out test for autism using machine-learning analysis of molecular temporal dynamics in hair - a multicenter study
A machine-learning test using hair can help detect autism early in infants.
research Evaluating anti-LGBTQIA+ medical bias in large language models
Large language models often give biased or inaccurate medical responses, especially for LGBTQIA+ prompts.