research Hair Loss Diagnosis Using Artificial Neural Networks
Neural networks can effectively predict hair loss.
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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 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 Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research Situation-Specific Purposes and Epistemic Games: A Framework for Teaching the Evaluation of Causal Information
The framework helps people evaluate scientific information for specific needs.
research A Survey on Robotic Surgery and Autonomous Systems in Modern Medicine including Neonatal Surgical Innovations
Robotic surgery and AI improve precision and recovery in medicine but face cost and training challenges.
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 Editorial: Progress and Prospects on Skin Imaging Technology, Teledermatology and Artificial Intelligence in Dermatology
New skin imaging, teledermatology, and AI could become key in future dermatology care.
research Autoimmune Disease Induction in a Healthy Human Organ: A Humanized Mouse Model of Alopecia Areata
Alopecia areata can be triggered by specific immune cells without genetic or environmental factors.
research The Dark Side of the Language: Pre-trained Transformers in the DarkNet
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
research Alopecia Areata
The document concludes that ongoing research using animal models is crucial for better understanding and treating Alopecia Areata.
research AIRE Deficiency Leads to the Development of Alopecia Areata‒Like Lesions in Mice
AIRE deficiency causes hair loss similar to alopecia areata in mice.
research Generative adversarial networks for anonymous acneic face dataset generation
The method creates realistic, anonymous acne face images for research, achieving 97.6% accuracy in classification.
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 Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.
research ISID0199 – Computer vision AI-based androgenetic alopecia analysis using a novel mobile web app.
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 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 Plasticity and Cytokinetic Dynamics of the Hair Follicle Mesenchyme: Implications for Hair Growth Control
Hair growth is influenced by dynamic changes in hair follicle cells, which could help treat hair loss.
research 307 Computer-assisted epitope prediction revealed potential autoantigens associated with human alopecia areata
Melanogenesis-related proteins may trigger immune responses in alopecia areata patients.
research The repression of mètis within digital organizations
Over-reliance on automation limits human problem-solving in emergencies.
research DEEP REINFORCEMENT LEARNING FOR SCALABLE CONTROL OF BOOLEAN MODELS IN THE CONTEXT OF CELLULAR REPROGRAMMING
pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.
research What is behind the ‘swarm of bees’ in alopecia areata
Alopecia areata is caused by immune system issues, and JAK inhibitors might help treat it.
research Alopecia Areata Incognita: A Case Report
Alopecia Areata Incognita causes sudden hair loss in young females but usually has a better outcome than other types.
research Alopecia areata: Animal models illuminate autoimmune pathogenesis and novel immunotherapeutic strategies
Animal models have helped understand hair loss from alopecia areata and find new treatments.
research Alopecia areata − animal models
Alopecia areata is influenced by genetics and immune system factors, and better understanding could improve treatments.
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: a review of disease pathogenesis
Alopecia areata is likely an autoimmune disease with unclear triggers, involving various immune cells and molecules, and currently has no cure.
research Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
Deep learning can improve non-invasive alopecia diagnosis using hair images.
research Resistance of Transplanted Hair Follicles to the Onslaught of Diffuse Alopecia Areata
Transplanted hair follicles can resist hair loss from an autoimmune condition better than natural hair.