research Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
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research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research Modeling Dynamic Hair as a Continuum
The authors created a realistic and efficient method to simulate hair movement by combining fluid dynamics with individual hair strand behavior.
research The Dark Side of the Language: Syntax-Based Neural Networks Rivaling Transformers in Definitely Unseen Sentences
Syntax-based neural networks can match Transformers in handling unseen sentences.
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 Revolutionizing Hair Fall Analysis: The Advanced Precipitation U-Net Model
The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
research A modified FLIT-B model of trigeminal neuralgia reveals anterior cingulate cortex involvement in anxiety-like behavior in mice
Inhibiting certain brain neurons may reduce pain and anxiety in trigeminal neuralgia.
research Some progress in global existence of solutions to a higher-dimensional chemotaxis system modelling Alopecia Areata
The system can have a stable solution under certain conditions, helping understand hair loss in Alopecia Areata.
research A modular modeling approach for investigating wool critical buckling from biologically variable along-fiber microstructure
The model helps understand how wool fiber structure affects its strength and flexibility.
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
research A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions
A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.
research Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-sectional Study
The study aims to create a model to predict health attributes using diverse health data from Japanese adults.
research Piebaldism in tree shrews
research Community Detection and Patient Experience Analysis in Reddit Conversations on Janus Kinase Inhibitors using Large Language Models
A few users dominate Reddit discussions on JAK inhibitors, highlighting social media's potential for tracking drug safety but needing expert oversight.
research Azimuthal Scattering from Elliptical Hair Fibers
Light scatters differently from elliptical hair fibers than from circular ones, and a new model better predicts this behavior, especially for shiny highlights.
research Modeling the dynamics of human hair cycles by a follicular automaton
The model successfully simulates human hair growth and patterns, including hair loss types.
research Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models
Mitochondrial genes help predict breast cancer outcomes and spread.
research Simulation Guided Hair Dynamics Modeling from Video
The method improves hair animation from video by combining image techniques and simulations.
research A Reconstitution of the Face of the French Bayard Knight (1473?-1524) Based on DNA Analyses and on Informatics Study of his Official Portrait
The face of French knight Bayard was recreated using DNA and portrait analysis.
research A Body Divided: Toward Reunification of the Paradigm
The body and mind should be seen as interconnected for better medical understanding and treatment.
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 Analysis of Animal Models of Alopecia Areata(AA) Based on Clinical Features of Traditional Chinese and Western Medicine
Better models and evaluation methods for alopecia areata are needed.
research ARTIFICIAL INTELLIGENCE TECHNIQUES IN PREDICTION OF COVID-19 MORTALITY AND ITS RELATED FACTORS: A MULTI-CENTER STUDY
AI can effectively predict COVID-19 mortality risk using patient data.
research Genetic Prediction of Male Pattern Baldness
Genetic factors can predict male pattern baldness risk.
research Semantic textual similarity using maximal weighted bipartite graph matching
The gel effectively thickens eyelashes and eyebrows without side effects.
research P154 Revised basic and specific (BASP) classification for pattern hair loss
The revised BASP classification for hair loss is less accurate and harder to use but could still be a viable option.
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 In-silico cardiac aging regulatory model including microRNA post-transcriptional regulation
Researchers created a model to understand heart aging, highlighting the role of microRNAs and identifying key genes and pathways involved.
research Modified basic and specific (BASP) classification for pattern hair loss
The modified hair loss classification is more detailed but less user-friendly.
research Decision letter: Dynamics of nevus development implicate cell cooperation in the growth arrest of transformed melanocytes
Moles may stop growing due to cell cooperation, not just because of individual cell aging.