research Ultrahigh-Power Sonicator Lysis Enables Deep ProteomicProfiling of Hair Shafts for Fetal Growth Restriction Biomarker Discovery
A new method helps find proteins in hair to identify fetal growth issues.
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30 / 1000+ resultsresearch 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.
research Ultrahigh-Power Sonicator Lysis Enables Deep Proteomic Profiling of Hair Shafts for Fetal Growth Restriction Biomarker Discovery
A new method improves protein extraction from hair, helping identify potential biomarkers for fetal growth issues.
research Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
Machine learning and single-cell analysis improve understanding and treatment of wound healing.
research Deep skin fibroblast-mediated macrophage recruitment supports acute wound healing
Deep skin fibroblasts help recruit immune cells for better wound healing.
research Deep facial mycosis due to Trichophyton verrucosum—molecular genetic identification of the dermatophyte in paraffin‐embedded tissue—case report and review of the literature
An 80-year-old man's deep beard infection was cured with oral terbinafine after identifying the fungus Trichophyton verrucosum.
research Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
AI can predict hair loss by analyzing genetic, scalp, and lifestyle data.
research Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
research JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison
A new method helps diagnose alopecia areata using specific gene markers and could guide targeted treatments.
research Lamellar ichthyosis with pseudoexon activation in the transglutaminase 1 gene
The boy's severe skin disorder is caused by two new mutations in his TGM1 gene.
research Local IL-17 orchestrates skin aging
Blocking IL-17 signaling can delay skin aging and improve skin and hair health.
research 494 Epidermolysis bullosa pruriginosa, muscular dystrophy, and immune-mediated myasthenia gravis in a patient with homozygous nonsense PLEC mutation
A patient with a PLEC mutation has epidermolysis bullosa, muscular dystrophy, and myasthenia gravis, which improved with steroid treatment.
research 836 Applying FACS-based single cell RNA-seq to study neonatal mouse skin
Researchers improved a method to study individual cells in newborn mouse skin and found a way to assess the severity of a skin condition in humans.
research Complications/Sequelae of Neck Rejuvenation
Neck lift surgery can lead to complications like hematoma, nerve injury, and skin issues, with various treatments available for each.
research Comprehensive analysis of circRNAs from cashmere goat skin by next generation RNA sequencing (RNA-seq)
Four circRNAs were found to be significantly different in cashmere goat skin, affecting cashmere fineness.
research Differential gene expression analysis between anagen and telogen of Capra hircus skin based on the de novo assembled transcriptome sequence
Signaling pathways are crucial for hair growth in goats.
research RNA sequence analysis of dermal papilla cells’ regeneration in 3D culture
3D culture helps maintain hair growth cells better than 2D culture and identifies key genes for potential hair loss treatments.
research Activity of Sorafenib against Desmoid Tumor/Deep Fibromatosis
Sorafenib is effective in treating Desmoid Tumor/Deep Fibromatosis.
research Deep Insight of Design, Mechanism, and Cancer Theranostic Strategy of Nanozymes
Nanozymes show promise for effective and safe cancer treatment.
research Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
The new method improves skin cancer detection in imbalanced datasets.
research Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
research Deep Plane Fixation in Integumental Surgery
Deep Plane Fixation in scalp surgeries allows for more tissue removal with less tension, leading to better healing and less scarring.
research Fibroblast heterogeneity and functions: insights from single-cell sequencing in wound healing, breast cancer, ovarian cancer and melanoma
Different types of fibroblasts play specific roles in wound healing and cancer, which could help improve treatments.
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 Molecular heterogeneity of quiescent melanocyte stem cells revealed by single-cell RNA-sequencing
Different types of inactive melanocyte stem cells exist with unique characteristics and potential to develop into other cells.
research Deep Plane Fixation in Integumental Surgery
Deep Plane Fixation in scalp surgeries allows for more tissue removal with less tension and minimal scarring.
research Cost-effectively dissecting the genetic architecture of complex wool traits in rabbits by low-coverage sequencing
Low-coverage sequencing is a cost-effective way to identify genes related to wool traits in rabbits.
research Genome-wide detection and sequence conservation analysis of long non-coding RNA during hair follicle cycle of yak
Researchers found that certain RNA sequences play a role in yak hair growth and these sequences are somewhat similar to those in cashmere goats.
research Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.