research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
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research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
"HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
research 448 Challenges of securing insurance approval for oral tofacitinib treatment of alopecia areata: A multi-institutional retrospective review
Getting insurance to cover the hair loss treatment tofacitinib is hard because it's not officially approved for that use.
research Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
research Integration of Colorimetric Sensing Dyes and Multi‐Substrate Arrays for Food Quality and Safety Monitoring: Design, Optimization, and Analysis
Combining advanced sensors with portable devices could enhance on-site food safety monitoring.
research Regenerative Strategies for Androgenetic Alopecia: Evidence, Mechanisms, and Translational Pathways
New regenerative treatments show promise in improving hair growth for androgenetic alopecia.
research Artificial intelligence in dermatology: а scoping review
AI in dermatology shows high accuracy in diagnosing skin diseases but needs more research for improvement.
research A Novel Model System to Identify Cellular and Molecular Defects Underlying Rare Genetic Disorders
The new model helps understand and develop treatments for genetic skin disorders like AEC.
research The Trend of Four Consultation Models in Four Specialties at Four Tertiary Care Hospitals
Different specialties at different hospitals use various consultation models.
research A proposal for a new design: the exposure–crossover design
The "exposure–crossover design" helps assess individual changes in risk after events like car crashes.
research A use-and-transformation model for evaluating public R&D: Illustrations from polycystic ovarian syndrome (PCOS) research
The document suggests a new model for evaluating public research that better captures the full value of knowledge creation and use, using PCOS research as an example.
research Minimizing Factual Inconsistency and Hallucination in Large Language Models
A new method improves the accuracy and reliability of language models by up to 42%.
research Medical Reasoning with Large Language Models: A Survey and MR-Bench
Large language models struggle with accurate clinical decision-making compared to real-world needs.
research Phenotypic heterogeneity in human genetic diseases: ultrasensitivity-mediated threshold effects as a unifying molecular mechanism
Different people show different symptoms for genetic diseases because of how sensitive their bodies are to small changes in important factors.
research TECHNOLOGY AS AN EXTENSION OF MAN: THE LIMITS OF THE POSSIBLE AND NEW PARADIGMS
Technology enhances human design thinking, creating new possibilities.
research Confirmatory factor analysis of the causal illness attribution scale in Chinese patients with multiple somatic symptoms
The two-factor model fits better for Chinese patients' understanding of illness causes than the original four-factor model.
research An Expert System for Clinical Risk Assessment of Polycystic Ovary Syndrome under Uncertainty
The document concludes that the new expert system can assess the risk of PCOS effectively despite uncertainties in diagnosis.
research Mind the Gap: A Solution to the Robustness Problem of Turing Patterns Through Patterning Mode Isolation
Pattern mode isolation improves the reliability and predictability of Turing patterns.
research 603 Pathological modeling of epidermolysis bullosa simplex (EBS) using induced pluripotent stem cells (iPSC)
Scientists used stem cells to create a model of the skin disease Epidermolysis Bullosa simplex, which helped them understand its molecular mechanisms and could aid in finding treatments.
research Enhanced Differentiation Potential of Pigmented Human Epidermal Equivalents
PmtHEE is a better model for studying pigmented skin because it includes melanocytes and shows improved cell differentiation.
research Post-Exposure Syndromes as State-Space Trapping: A set-theoretic perspective on PSSD and the post-exposure family.
Post-exposure syndromes are persistent conditions caused by past exposures, needing unique interventions.
research Post-Exposure Syndromes as State-Space Trapping: A set-theoretic perspective on PSSD and the post-exposure family.
Post-Exposure Syndromes are persistent conditions caused by past exposures, needing unique interventions.
research The mind-body problem; three equations and one solution represented by immaterial-material data
The mind and body don't directly interact; the mind acts as an interface linking abstract and physical data.
research 0873 Modeling junctional epidermolysis bullosa using tissue-engineered skin substitutes
Tissue-engineered skin substitutes can model junctional epidermolysis bullosa and may help develop gene therapy.
research Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events
A new method makes analyzing large datasets with rare events faster and more efficient.
research A 3D microtumour system that faithfully represents ovarian cancer minimal residual disease
The study developed a 3D model that closely imitates remaining ovarian cancer after treatment and identified a potential drug targeting resistant cancer cells.
research PROMETHEUS: Automating Deep Causal Research Integrating Text, Data and Models
PROMETHEUS helps organize and evaluate causal claims from large language models.
research Amendments to Organizational Theorizing
Karl E. Weick recommended focusing on everyday events and smaller organizations to improve organizational theory.
research Psycho-physiologic emergentism; four minds in a body
The brain may create four separate minds, each with its own mental reality.