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.
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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 Hair Aging Revisited: An Expert Delphi Consensus on Pathogenesis, Clinical Features, and Future Therapies
Experts agree on understanding hair aging to improve diagnosis and treatments.
research Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
research International PCOS guideline clinical research priorities roadmap: a co-designed approach aligned with end-user priorities in a neglected women’s health condition
The roadmap calls for better research and funding to improve PCOS diagnosis, treatment, and health outcomes.
research Computational derivation of a molecular framework for hair follicle biology from disease genes
The research provides a gene-based framework for hair biology, highlighting the Hippo pathway's importance and suggesting links between hair disorders, cancer pathways, and the immune system.
research Decoding precision medicine in prediabetes: a citespace-based bibliometric analysis of current trends and future directions
Precision medicine is crucial for early diagnosis and personalized treatment in prediabetes.
research Precision Dermatology: A Review of Molecular Biomarkers and Personalized Therapies
Personalized medicine in dermatology uses molecular biomarkers to improve diagnosis and treatment but needs further advancements for practical use.
research Diagnosis of childhood and adolescent growth hormone deficiency using transcriptomic data
Childhood growth hormone deficiency can be accurately diagnosed using gene expression data and random forest analysis.
research Diagnostic, Therapeutic, and Theranostic Multifunctional Microneedles
Microneedles are becoming essential tools in medicine for sensing, drug delivery, and communication.
research Organoid‐Guided Precision Medicine: From Bench to Bedside
Organoid technology is improving personalized medicine by better predicting drug responses and treatments.
research The Use of Imaging Techniques in the Diagnosis of Dermatoses of the Scalp
Non-invasive imaging techniques improve scalp condition diagnosis and patient quality of life.
research Exosomes in precision dermatology: From biomarkers to targeted therapeutics in personalized care
Exosomes show promise in dermatology but need more research and FDA approval for clinical use.
research Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
Deep learning effectively diagnoses scalp disorders, but improvements are needed.
research Precision-Based Management of Chronic Hair Fall: A Genomic-Guided Trichology Approach - A Case Analysis from Qatar
Personalized genomic interventions can effectively manage chronic hair loss.
research POLYCYSTIC OVARY SYNDROME (PCOS): DIAGNOSIS, PATHOPHYSIOLOGY AND CONTEMPORARY THERAPEUTIC APPROACHES
Early diagnosis and personalized treatment are crucial for managing PCOS and preventing complications.
research Navigating Diagnostic Uncertainty: Frontal Fibrosing Alopecia Versus Keratosis Pilaris Atrophicans Faciei With Genetic Testing Insights
Genetic testing can help diagnose skin conditions but needs more research for full effectiveness.
research Enhancing diagnostic yield of monogenic diabetes through phenotypic and molecular reanalysis of 128 individuals with young onset hyperglycemia: highlighting the significance of accurate case characterization
Combining genetic and physical trait analysis improves diagnosis accuracy for monogenic diabetes.
research Advances of Microneedles for Cancer Diagnosis and Therapy
Microneedles show promise for cancer diagnosis and treatment due to their minimally invasive nature and effective drug delivery.
research Precision therapeutics in non-scarring alopecia: a systemic genomic and pathway-based framework for targeted interventions
Personalized treatments for hair loss focus on specific genetic and biological pathways.
research Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
The model accurately diagnoses hair diseases with 95% accuracy using deep learning.
research Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
The model accurately identifies hair diseases using deep learning.
research Microneedles meet photomedicine: emerging strategies for diagnosis and therapy of skin diseases
Microneedles combined with light therapy can improve skin disease diagnosis and treatment.
research Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
research Comprehensive Review on Hair Loss and Restorative Techniques: Advances in Diagnostic, Artistry, and Surgical Innovation
Advancements in diagnostics, treatments, and technology have improved hair loss detection and restoration, with some types being reversible.
research Embryologic layers in dermatology: Developmental checkpoint disorders, diagnostic insight, and regenerative futures
Understanding embryologic layers improves skin disorder diagnosis and supports developing targeted therapies.
research Emerging Technologies in Hair and Nail Diagnosis and Treatment
New technologies are improving the diagnosis and treatment of hair and nail disorders.
research Bubble-Based Drug Delivery Systems: Next-Generation Diagnosis to Therapy
Bubble-based systems show promise for precise, targeted drug delivery and diagnosis, especially in cancer treatment.
research HOW AI CAN SUPPORT FOLLICULAR LYMPHOMA DIAGNOSIS
AI can help diagnose Follicular Lymphoma by accurately identifying specific cell types.