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750-780 / 1000+ resultsresearch Differential Expression and Analysis of TBX3 Gene in Skin Tissues of Dun Mongolian Horses with and Without Bider Markings
TBX3 gene affects pigmentation and marking formation in Dun Mongolian horses.
research 200 Deep learning model to predict sentinel lymph node status in melanoma patients
The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
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 The Color Blindness Disorders and the Role of Sex-Linked Genes
No link between finger length ratios and color blindness was found.
research Aligning Stem Cell Models and Postmortem Studies to Query Striatal Neurodevelopment in Schizophrenia
Schizophrenia risk genes may affect early brain development, contributing to the disease.
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.
research Regenerative medicine meets mathematical modelling: developing symbiotic relationships
Mathematical modeling can improve regenerative medicine by predicting biological processes and optimizing therapy development.
research 267 Deep phenotyping of patients with xeroderma pigmentosum and trichothiodystrophy
Deep phenotyping helps distinguish between xeroderma pigmentosum and trichothiodystrophy, aiding in diagnosis and treatment.
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 Improving human forensics through advances in genetics, genomics and molecular biology
DNA profiling in forensics has improved, but predicting physical traits and ancestry from DNA has limitations and requires ethical consideration.
research 0034 Cross-species insights into hair follicle-T cell interactions in discoid lupus erythematosus: A comparison of human, canine and mouse models using spatial transcriptomics
Discoid lupus erythematosus involves immune activation and fibrosis around hair follicles, with shared pathways across humans, dogs, and mice, suggesting potential treatments for both humans and animals.
research Comparison of large language models in generating patient handouts for the dermatology clinic: A blinded study
ChatGPT is preferred for creating dermatology patient handouts, but all models can be useful with oversight.
research Trichoscopic Differentiation in Alopecia: Retrospective Case Series Comparing Lichen Planopilaris, Discoid Lupus Erythematosus, and Alopecia Areata
Exclamation-mark hairs and yellow dots indicate alopecia areata, while follicular ostia loss and white scarring indicate lichen planopilaris and discoid lupus erythematosus.
research Recent advances in Forensic DNA Phenotyping of appearance, ancestry and age
Forensic DNA Phenotyping can now better predict appearance, ancestry, and age from DNA, but more research is needed for precise police use.
research Mathematical Modeling of Alopecia Areata: Unraveling Hair Cycle Dynamics, Disease Progression, and Treatment Strategies
The model helps understand alopecia areata and suggests treatment strategies.
research Bayesian Hidden Markov Modelling of Blood Type Distribution for Covid-19 Cases Using Poisson Distribution
Blood type affects COVID-19 infection rates differently in Europe and Africa.
research The Three-Dimensional Human Skin Reconstruct Model: a Tool to Study Normal Skin and Melanoma Progression
3D skin models better mimic human skin and melanoma progression than older methods.
research Modeling animal genomics in mice: An authentic approach for the functional interrogation of evolutionarily and agriculturally critical variants
Mouse models are essential for studying and improving genetic traits in agriculture.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research Linear alopecia in pediatrics: RCM and dermoscopy reveal diagnostic cues
RCM and dermoscopy help identify different types of hair loss in children.
research Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
Computer vision techniques can help detect and assess skin conditions like vitiligo, alopecia areata, and dermatitis.
research Forensic DNA phenotyping: A promising tool to predict human appearance for forensic purposes
Forensic DNA phenotyping is becoming useful for predicting physical traits in criminal investigations but is limited by ethical concerns and incomplete genetic understanding.
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 Pharmacophore Models for Toxicology Prediction
Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
research Zebrafish Model of Hereditary Pigmentary Disorders
Zebrafish help understand genetic causes of skin pigment disorders like albinism.
research Hair analysis based on medical history and spatial-temporal data
Machine learning can predict hair health accurately using personal data.
research A Model for Predicting Polycystic Ovary Syndrome Using Serum AMH, Menstrual Cycle Length, Body Mass Index and Serum Androstenedione in Chinese Reproductive Aged Population: A Retrospective Cohort Study
A model using hormone levels, cycle length, and BMI can help identify PCOS in Chinese women but isn't for screening teens.
research Detecting shortcut learning for fair medical AI using shortcut testing
The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
research Genetic prediction of male pattern baldness
Genetic factors can help predict male pattern baldness risk.