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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780-810 / 1000+ resultsresearch Xgboost Algoritmasıyla Polikistik Over Sendromu Teşhisi
XGBoost can effectively diagnose PCOS with 87% accuracy.
research Identification of VLDL as a biomarker for prewarning of androgenic alopecia
VLDL could be an early warning sign for male pattern baldness.
research The Dark Side of the Language: Pre-trained Transformers in the DarkNet
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
research 891 Comparison of phenotypes and transcriptomes of mouse skin-derived precursors and dermal mesenchymal stem cells
The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
research ADVANCEMENTS IN TREATMENT STRATEGIES FOR ANDROGENETIC ALOPECIA: NOVEL THERAPIES AND FUTURE PERSPECTIVES
New treatments for androgenetic alopecia show promise but need more research for validation.
research Association between hemoglobin A1c and the severity of androgenetic alopecia among female patients in a specialty alopecia clinic
Higher blood sugar levels may lead to more severe hair loss in women.
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 Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
AI can improve early diagnosis and classification of PCOS, aiding in prevention of related health issues.
research rPanglaoDB: an R package to download and merge labeled single-cell RNA-seq data from the PanglaoDB database
rPanglaoDB helps study rare cell types by merging RNA data, showing fibrocytes aid in healing.
research Identification and characterization of four immune-related signatures in keloid
Four specific genes are linked to keloid formation and could be potential treatment targets.
research A systematic simulation-based meta-analytical framework for prediction of physiological biomarkers in alopecia
The study identified 12 potential biomarkers for hair loss and how they affect hair growth.
research Transcriptome meta-analysis reveals the hair genetic rules in six animal breeds and genes associated with wool fineness
Different sheep breeds share similar genetic factors affecting wool fineness.
research Machine Learning Applications for Drug Repurposing
Machine learning helps find new uses for existing drugs, improving healthcare.
research A Gender Hypothesis of sex disparities in adverse drug events
Gendered social factors, not just biology, contribute to sex differences in adverse drug events.
research Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
research Genomic and transcriptomic landscape to decipher the genetic basis of hyperpigmentation in Lanping black-boned sheep (Ovis aries)
Two genes, ERBB4 and ROR1, may cause the unique pigmentation in Lanping black-boned sheep.
research Identification of Hypoxia and Mitochondrial-related Gene Signature and Prediction of Prognostic Model in Lung Adenocarcinoma
A gene-based model predicts lung adenocarcinoma outcomes and helps guide treatment decisions.
research Construction of regulatory network for alopecia areata progression and identification of immune monitoring genes based on multiple machine-learning algorithms
Researchers found four genes that could help diagnose severe alopecia areata early.
research Hair and Scalp Disease Detection using Machine Learning and Image Processing
The machine learning model accurately detected hair loss and scalp diseases using processed images.
research Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
The device accurately estimates natural hair color at the roots in real time.
research A novel eco-friendly Acinetobacter strain A1-4-2 for bioremediation of aquatic pollutants
Acinetobacter strain A1-4-2 can safely clean water pollutants.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research Pharmacophore and Atom Based 3D QSAR Studies on the Novel 5-Alpha-Reductase Inhibitors
The developed model can predict effective 5-alpha-reductase enzyme inhibitors.
research Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers
AI can accurately identify some cosmetic fillers in ultrasound images but needs improvement for others.
research Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
VGG19 is more accurate, but MobileNetV2 is faster and uses fewer resources.
research Mendelian randomization analysis of the causal relationship between low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and androgenic alopecia
Higher LDL cholesterol may increase the risk of hair loss, while HDL cholesterol does not.
research Modeling Oxidative Stress-Linked Telogen Effluvium Using Monte Carlo Simulation of Published Trichoscopy Norms and Cannabis Exposure Distributions
Higher cannabis exposure may lead to increased hair loss.
research Efficient integration of human skin single-cell RNA sequencing data
A comprehensive human skin cell atlas was created to better understand skin biology and disease.
research Efficient integration of human skin single-cell RNA sequencing data
A comprehensive human skin cell atlas was created to better understand skin biology and disease.