research Mathematical Modeling and Inference of Epidermal Growth Factor-Induced Mitogen-Activated Protein Kinase Cell Signaling Pathways
Mathematical modeling helps understand and predict the MAPK cell signaling pathway.
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research Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
The model can effectively help diagnose meibomian gland dysfunction automatically.
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.
research Mathematical Modeling of Alopecia Areata: Unraveling Hair Cycle Dynamics, Disease Progression, and Treatment Strategies
The model helps understand alopecia areata and suggests better treatment strategies.
research Modeling using discriminant analysis of the possibility of occurrence and features of the course of various forms of urticaria in ukrainian women depending on the features of anthropo-somatotypological indicators
The models accurately predicted urticaria in Ukrainian women but struggled to differentiate between mild and severe cases based on body structure.
research Poster Abstracts
The model and estimator can predict drug exposure in kidney transplant patients well.
research Drug repositioning using in silico compound profiling
Using computers to analyze drugs can find new uses for them, but actual experiments are needed to confirm these uses.
research Modeling share dynamics by extracting competition structure
The model can predict website market shares by identifying competition among them.
research Perceptions and utilization of telemedicine for hair loss treatment: A survey-based analysis of Korean consumers
Many are open to telemedicine for hair loss if combined with in-person visits and better technology.
research Artificial Intelligence-Based Personalization of Treatment Regimen for Hair Loss: A 6-Month Clinical Trial.
AI-personalized hair loss treatments improved hair growth and scalp health without side effects.
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 Immunomodulatory Potential and Biocompatibility of Chitosan–Hydroxyapatite Biocomposites for Tissue Engineering
Chitosan–hydroxyapatite biocomposites are promising for tissue engineering due to their safety and ability to support healing.
research Design and Characterization of Baricitinib Incorporated PLA 3D Printed Pills by Fused Deposition Modeling: An Oral Pill for Treating Alopecia Areata
The study created 3D-printed pills that effectively release a hair loss treatment drug over 24 hours.
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.
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 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 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 Modeling cell–cell communication for immune systems across space and time
The document concludes that computational models are useful for understanding immune responses and could improve cancer immunotherapy.
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 Modeling of chronic radiation-induced cystitis in mice
Researchers developed a mouse model that successfully mimics the bladder damage seen in humans after radiation therapy.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
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 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 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.