research Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
Deep-learning models can effectively diagnose and assess Alopecia areata using scalp images.
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research Multilayered Gel-Spotting Device for In Vitro Reconstruction of Hair Follicle-like Microstructure
The new method can create hair follicle-like structures but not complete hair with roots and shafts, needing more improvement.
research Order from disorder: Self-organization in mammalian hair patterning
Hair patterns in mice are controlled by both a global system dependent on Fz6 and a local self-organizing system.
research Foundations of Bayesian Networks
Bayesian networks are tools for modeling variables' probabilistic relationships, which can efficiently represent complex probabilities and help in making inferences.
research Novel tissue mechanics-guided cellular flows drive the formation of feather follicles
Feather follicles form through specific cellular flows and mechanical changes in the skin.
research Experimental Evidence in Hair Restoration Procedures: Plucked Hair Survival and Growth Rate.
Plucked hair follicles grow faster than conventional ones, making them a potentially better option for hair transplants.
research Computerized morphometry and three-dimensional image reconstruction in the evaluation of scalp biopsy from patients with non-cicatricial alopecias
The study suggests computer-assisted analysis of scalp biopsies could improve hair loss diagnosis but needs more validation.
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 Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
research A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
research Computing Your Ideal Haircut Routine
The ideal haircut routine can be determined using a model based on hair growth and regular haircuts.
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 Weakly supervised learning of biomedical information extraction from curated data
The method can effectively extract biomedical information without needing expert annotation, performing better than previous models.
research 644 Tumor cell adhesion as a risk factor for SLN metastasis and predictor of disease recurrence in primary cutaneous melanoma
Tumor cell adhesion is linked to higher risk of SLN metastasis and melanoma recurrence, and a model including these factors predicts these outcomes better than one with just clinical data.
research Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research Enhanced Hair Disease Classification Using Deep Learning
The model accurately classifies hair conditions with 97% accuracy.
research Estimation of biological heart age using cardiovascular magnetic resonance radiomics
Obesity and lifestyle strongly affect heart aging.
research Genetic architecture of thermotolerance traits in beef cattle: a novel integration of SNP and breed-of-origin effects
Combining genetic models helps improve heat tolerance in beef cattle.
research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research TOWARDS NOVEL DIAGNOSTIC MARKER BASED ON BREAST ARTERIAL CALCIFICATIONS
Detecting early breast arterial calcifications can help assess cardiovascular disease risk.
research How to Speak Postmodern: Medicine, Illness, and Cultural Change
The document suggests medicine should integrate biological and cultural factors and focus on holistic, equitable care.
research Disulfide Cross-Linked Network Structure of Intermediate Filament and Matrix in Hair and Wool Cortices
Hair and wool strength is affected by the number and type of bonds in their protein structures, with hair having more protein aggregates than wool.
research Distribution of Human Hair in Follicular Units
The research found that for a typical hair density, about 11 square centimeters of donor scalp is needed to get 800 hair grafts for transplantation.
research Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
Deep learning effectively diagnoses scalp disorders, but improvements are needed.
research Harmonic Vibrational Frequency Simulation of Pharmaceutical Molecules via a Novel Multi-Molecular Fragment Interception Method
The new method provides more accurate vibrational frequencies for drug molecules than traditional models.
research Minoxidil Cannot Be Used To Target Lysyl Hydroxylases during Postnatal Mouse Lung Development: A Cautionary Note
Minoxidil does not work to inhibit lysyl hydroxylases in newborn mouse lungs.
research HOW AI CAN SUPPORT FOLLICULAR LYMPHOMA DIAGNOSIS
AI can help diagnose Follicular Lymphoma by accurately identifying specific cell types.
research Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and An Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.