research Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images
A deep learning method can detect nutritional deficiencies from hair and nail images with 89% accuracy.
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research MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
MSF-VMDNet accurately segments skin cancer images better than existing methods.
research DEEP REVIEW ON ALOPECIA AREATA DIAGNOSIS FOR HAIR LOSS-RELATED AUTOIMMUNE DISORDER PROBLEM
Machine learning and deep learning can effectively diagnose alopecia areata.
research Modeling using discriminant analysis of the possibility of occurrence and features of the course of various forms of urticaria in ukrainian women depending on the features of anthropo-somatotypological indicators
The models accurately predicted urticaria in Ukrainian women but struggled to differentiate between mild and severe cases based on body structure.
research Polymorphisms in the promoter regions of the CXCL1 and CXCL2 genes contribute to increased risk of alopecia areata in the Korean population
Certain gene variations increase the risk of alopecia areata in Koreans.
research Research on hair removal algorithm of dermatoscopic images based on maximum variance fuzzy clustering and optimization Criminisi algorithm
The new hair removal algorithm for skin images works better for detecting and fixing hair, improving melanoma diagnosis.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
research Multi-modal skin atlas identifies a multicellular immune-stromal community associated with disrupted cornification and specific T cell expansion in atopic dermatitis
A specific group of immune and skin cells may cause chronic inflammation in atopic dermatitis.
research Stem-cell therapy in dermatology – Challenges and opportunities
Stem-cell therapy shows promise for skin conditions but needs more research.
research Multiscale Morphological Reconstruction for Hair Removal in Dermoscopy Images
The method accurately detects and removes hair from skin images to improve melanoma diagnosis.
research 319 Novel Circulating Natural Killer Cell Subset as Biomarkers in Alopecia Areata Progression
Certain NK cell changes in blood may indicate alopecia areata progression.
research Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
research Identification of morphological characters and kinship relationships of candlenut plants ( Aleurites moluccana ) in Karo regency
Candlenut plants in Karo have common traits and varied kinship, with MTB1 and MTB2 being closest.
research Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.
research Sparse haplotype-based fine-scale local ancestry inference at scale reveals recent selection on immune responses
Recent selection on immune response genes was identified across seven ethnicities.
research HOW AI CAN SUPPORT FOLLICULAR LYMPHOMA DIAGNOSIS
AI can help diagnose Follicular Lymphoma by accurately identifying specific cell types.
research Nestin is expressed in HMB‐45 negative melanoma cells in dermal parts of nodular melanoma
Nestin helps identify certain melanoma cells in nodular melanoma.
research The N‑K Healing Series: Complete Geometric Restoration for Wounds, Pain, and Burns PAIN-GM1, REGEN-GM1, and BURN-GM1 — Complete Geometric Analysis Using N‑K Universal Computer, 1 Million Virtual Injuries Simulated, 100% Accuracy Comparison with Mainstream Medicine — Why Current Treatments Fail and How N‑K Geometry Succeeds
N-K Geometric Medicine heals wounds, pain, and burns better and faster than current treatments, without side effects.
research The N‑K Healing Series: Complete Geometric Restoration for Wounds, Pain, and Burns PAIN-GM1, REGEN-GM1, and BURN-GM1 — Complete Geometric Analysis Using N‑K Universal Computer, 1 Million Virtual Injuries Simulated, 100% Accuracy Comparison with Mainstream Medicine — Why Current Treatments Fail and How N‑K Geometry Succeeds
N-K Geometric Medicine heals wounds, pain, and burns better and faster than current treatments, without side effects.
research A machine learning and network framework to discover new indications for small molecules
A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
research A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
A new method accurately measures cell changes in breast cancer.
research 원저 : 한국인의 원형탈모중과 남성형탈모중의 횡단절편 조직 소견
Horizontal sectioning helps diagnose hair loss, but Korean follicle differences matter.
research Editorial: Machine Learning Techniques on Gene Function Prediction Volume II
Machine learning is effective in predicting gene functions and their relationships with diseases.
research Safe and easy hair transplantation utilizing KD spreader
The KD spreader makes hair transplants safer and easier, especially for beginners, by reducing damage to hair follicles.
research Molecular Evolution and Protein Structure Variation of Dkk Family
Dkk genes evolved faster in birds and reptiles, affecting hair development functions.
research A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
research An Integrated Analysis of Cashmere Fineness lncRNAs in Cashmere Goats
lncRNA XLOC_008679 and gene KRT35 affect cashmere fineness in goats.
research Nephronectin is Correlated with Poor Prognosis in Breast Cancer and Promotes Metastasis via its Integrin-Binding Motifs
Nephronectin is linked to worse breast cancer outcomes and helps cancer spread.
research The Dickkopf Protein Family in Non-Neoplastic Disorders: Emerging Roles and Therapeutic Targeting
DKK proteins could help diagnose and treat various non-cancerous diseases.