research Skinformatics: Navigating the big data landscape of dermatology
Clinicians and researchers must stay informed about big data to improve dermatology care.
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540-570 / 1000+ resultsresearch Gene trajectory inference for single-cell data by optimal transport metrics
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT helps understand single-cell gene expression better than current methods.
research Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings
Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.
research Case-Only Trees and Random Forests for Exploring Genotype-Specific Treatment Effects in Randomized Clinical Trials with Dichotomous End Points
Case-only trees and random forests improve predictions of treatment effects in clinical trials.
research Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross-sectional Study (Preprint)
The study aims to create a model to improve personalized and preventive health care.
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 Addressing continuous data for participants excluded from trial analysis: a guide for systematic reviewers
The conclusion is that the risk of losing significance in meta-analysis results increases with smaller effects and more missing data, and using the median standard deviation for imputation is recommended.
research The Localization of Label-Retaining Cells in Eccrine Glands
Stem cells in eccrine glands could be used for regenerative medicine.
research Circumscribed alopecia areata incognita
A rare form of alopecia causes hair thinning without bald spots and may be more common than thought, responding well to steroid treatment.
research iPrimer-seq: A Streamlined and Cost-Effective Early-Barcoding 3'-End Rna-Seq Method for Transcriptome Profiling from Limiting Cell Inputs
research Penerapan Algoritma Naive Bayes untuk Prediksi Kerontokan Rambut
Naive Bayes algorithm can help predict hair loss risk early.
research signatureSearch: environment for gene expression signature searching and functional interpretation
The package helps analyze and interpret gene expression data by comparing it to a database of conditions.
research Rapid Genetic Analysis of Epithelial-Mesenchymal Signaling During Hair Regeneration
The document's conclusion cannot be provided because the document is not available for analysis.
research AnnoPharma: Detection of substances responsible of ADR by annotating and extracting information from MEDLINE abstracts
AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
research Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can mislead our understanding of COVID-19 risk and severity.
research Analysis of the heterogeneity and complexity of murine extraorbital lacrimal gland via single-cell RNA sequencing
The research mapped diverse cell types in mouse lacrimal glands, aiding understanding of gland biology and diseases.
research If I Were You
The document's conclusion cannot be summarized because the content is not available.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
A deep learning model accurately detects early hair loss signs using scalp images.
research BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
BaldGraphFormer accurately predicts early baldness, aiding better hair loss treatment.
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 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 Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
research Improved trichoscopic assessment of yellow dots using Sub-Ultraviolet Light
research Improved trichoscopic assessment of yellow dots using Sub-Ultraviolet Light
research Multimodal Human Scalp Atlas Defines Cell Landscape and Lineage Architecture In Situ
The atlas maps human scalp cells, revealing insights into hair loss and potential treatments.
research Stem cell identification-in vivo lineage analysis versus in vitro isolation and clonal expansion
In vivo lineage labelling is better than in vitro methods for identifying and understanding stem cells.
research lncRNAs UC.145 and PRKG1-AS1 Determine the Functional Output of DKK1 in Regulating the Wnt Signaling Pathway in Gastric Cancer
UC.145 may be a new biomarker for predicting gastric cancer.