research Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
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research Advertiser Beware
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research ANÁLISES COMPUTACIONAIS PREDITIVAS COMO UM NOVO BIOPODER: MODIFICAÇÕES DO TEMPO NA SOCIEDADE DOS SENSORES
Predictive computational analyses have evolved biopower by using technology to track and predict individual and group behaviors.
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 AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
SL-HyDE improves medical information retrieval accuracy without needing labeled data.
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.
research How Can Clinicians Leverage Vibe Coding for Machine Learning and Deep Learning Research?
Clinicians can use vibe coding to easily engage in machine learning research without needing to know Python.
research Alopecia areata incognita: clinical characteristics and use of the Sinclair shedding scale
The Sinclair Shedding Scale is effective for diagnosing Alopecia Areata Incognita and monitoring treatment success.
research Clinical Assessment of Alopecia Areata Severity and Validating the Patient Experience: A Vodcast
Clinicians should use evidence-based tools and consider mental health when assessing alopecia areata to guide treatment.
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 Identification of a Novel Three-immunogene Diagnostic Signature for Alopecia Areata
A new diagnostic model can help better diagnose and understand Alopecia Areata.
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 PRACTICAL PEARL
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research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
The new model improves Alopecia Areata classification accuracy to 93.1%.
research Signposts to the Promised Land in Alopecia Areata
Patient-reported outcomes better reflect the quality of life impact of alopecia areata than traditional severity scores.
research Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.
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 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 Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
A deep learning model accurately detects early hair loss signs using scalp images.
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 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 Examining the Relationship between Alopecia Areata, Androgenetic Alopecia, and Emotional Intelligence
Alopecia patients struggle with emotions and stress, and improving emotional intelligence may help manage hair loss.
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 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 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 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 The Japanese Meeting
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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 Quantifying Alopecia Areata via Texture Analysis to Automate the SALT Score Computation
Researchers created a fast, accurate computer program to measure hair loss in alopecia areata patients.
research Alopecia Areata Incognita and Diffuse Alopecia Areata: Clinical, Trichoscopic, Histopathological, and Therapeutic Features of a 5-Year Study
The study concluded that AAI and DAA are forms of the same disease, with different symptoms in men and women, and that corticosteroid treatment is effective.