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.
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210-240 / 1000+ results research The Telephone Translation Game: An Illustration of Translation Challenges
Translation can lead to misunderstandings in clinical research.
research 546 Gene expression signatures and ALADIN score correlates with response of alopecia areata patients to treatment with JAK inhibitors
The ALADIN score can predict how well patients with alopecia areata will respond to JAK inhibitor treatments.
research Innovative approaches to baldness detection and management with artificial intelligence and machine learning
research A Critical Evaluation of Evaluations for Long-form Question Answering
Current methods can't accurately predict which long-form answers people prefer; evaluations should consider different answer qualities separately.
research Ewha Medical Journal’s inclusion in PubMed Central and PubMed, and artificial intelligence and guidelines in this issue
The Ewha Medical Journal is now in PubMed, has an AI article editor, and offers Korean reporting guidelines.
research 26 Characterization of a murine model of aa induced by adoptive transfer of cultured lymph node cells
The study developed a mouse model for Alopecia Areata that responds to treatment, useful for future research.
research Role of the Autoimmune Regulator (AIRE) gene in alopecia areata: Strong association of a potentially functional AIRE polymorphism with alopecia universalis
A specific gene change is linked to severe hair loss.
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 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 Performance Evaluation of the Generative Pre-trained Transformer (GPT-4) on the Family Medicine In-Training Examination
GPT-4 performs well on medical exams but still needs human doctors for critical thinking.
research Analysis of alopecia areata surveys suggests a threshold for improved patient-reported outcomes
A SALT score of ≤ 20 indicates meaningful improvement in alopecia areata treatment.
research The Third Annual ASHRS Conference – Rancho Mirage, California
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research QuantAnts machines discover biomarkers for RAS signaling activation and design sgRNAs for CRISPR to target complex CD9, CD34, and CD74.
The QuantAnts machines can find cancer markers and create CRISPR targets for them.
research AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
SL-HyDE improves medical information retrieval accuracy without needing labeled data.
research Harnessing Microbiome, Bacterial Extracellular Vesicle, and Artificial Intelligence for Polycystic Ovary Syndrome Diagnosis and Management
Microbiome analysis, BEVs, and AI can improve PCOS diagnosis and treatment.
research Aspect-Level Drug Reviews Sentiment Analysis Based on Double BiGRU and Knowledge Transfer
A model called PM-DBiGRU was developed for analyzing sentiments in drug reviews, and it performed better than other models, but struggled with complex sentences and situations requiring background knowledge.
research ISID0199 – Computer vision AI-based androgenetic alopecia analysis using a novel mobile web app.
research Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
The FAW-FS algorithm improves depression recognition, and psychological interventions help AGA patients' mental health.
research A Review on the Form and Complexity of Human–Robot Interaction in the Evolution of Autonomous Surgery
Human-robot interaction becomes simpler as robots achieve full autonomy in surgery.
research Innovative Approaches to the Assessment of Alopecia Areata: Incorporating the SALT Index Through Transparent Devices
research LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA
Inflammatory diets may increase the risk and severity of alopecia areata.
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 Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
research The BIOMarkers in Atopic Dermatitis and Psoriasis (BIOMAP) glossary: developing a lingua franca to facilitate data harmonization and cross‐cohort analyses
The BIOMAP glossary standardizes data to improve research on atopic dermatitis and psoriasis.
research The Japanese Meeting
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research The Multidimensional Assessment of Interoceptive Awareness-2 Scale: A Turkish Validity and Reliability Study in Patients Admitted to the Dermatology Outpatient Clinic
The Turkish version of the MAIA-2 Scale is valid and reliable for patients at a dermatology clinic.
research Association of Autoimmune Regulator Gene Rs2075876 Variant, but Not Gene Expression with Alopecia Areata in Males: A Case–control Study
The AIRE gene variant rs2075876 is linked to a higher risk of alopecia areata in males.
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 Visualizing Severity of Alopecia Tool (SALT) scores in the clinical setting using patient images from a clinical trial
The study helps doctors use patient images to understand and apply SALT scores for treating severe alopecia areata.