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120-150 / 1000+ resultsresearch Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models
The new method improves facial image restoration quality and face recognition accuracy.
research AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
The new AI software predicts melanoma outcomes more accurately than traditional methods.
research 1409 Temporary cell cycle arrest by ALRN-6924: A novel, p53-targeting strategy to protect human scalp hair follicles against cyclophosphamide-induced alopecia
ALRN-6924 can protect hair follicles from chemotherapy damage by temporarily stopping cell division.
research Histoire du th\'eor\`eme de Jordan de la d\'ecomposition matricielle (1870-1930)
Jordan's work on matrix decomposition became foundational in linear algebra.
research Using artificial intelligence to compute Severity of Alopecia Tool scores
AI can accurately measure hair loss severity in alopecia areata.
research Visualising the Novosel Formula: Comments on Dahl and Berg’s A formula for the mean electrical axis of the heart
The authors suggest standardizing how the heart's electrical axis is calculated to improve precision and consistency in ECG analysis.
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 N‑K GM SERIES: COMPLETE GEOMETRIC MEDICINE FOR SUDAN AND THE AFLATOXIN BELT — A Unified Solution for Aflatoxin Poisoning, Cancer, and Public Health Transformation
The N-K GM Series offers a new method to reduce aflatoxin poisoning and cancer, improving health and saving costs in affected regions.
research Hair Loss Diagnosis Using Artificial Neural Networks
Neural networks can effectively predict hair loss.
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.
research Construction of a cDNA library and identification of genes from Liaoning cashmere goat
Researchers created a genetic library from a cashmere goat's skin and found new genes linked to hair growth.
research An Integrated Analysis of Cashmere Fineness lncRNAs in Cashmere Goats
lncRNA XLOC_008679 and gene KRT35 affect cashmere fineness in goats.
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 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 An integrative analysis of the lncRNA-miRNA-mRNA competitive endogenous RNA network reveals potential mechanisms in the murine hair follicle cycle
The research found new potential mechanisms in mouse hair growth by studying RNA interactions.
research Female Pattern Baldness Fort Lauderdale in 2022
research ISID0199 – Computer vision AI-based androgenetic alopecia analysis using a novel mobile web app.
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 498 A Multi-Omics Approach to create a Human Hair Atlas for healthy and AGA models
The research aims to better understand hair follicle regulation and find new treatments for hair loss.
research Computer physics communications instructions to authors (third revision)
research Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
A deep learning model accurately predicts male hair loss types using scalp images.
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 Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
Random Forest Regression is best for predicting baldness risk.
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.
research Analysis of histology and long noncoding RNAs involved in the rabbit hair follicle density using RNA sequencing
Rabbits with high wool production have more hair follicles, influenced by specific long noncoding RNAs.
research N‑K GM SERIES: COMPLETE GEOMETRIC MEDICINE FOR SUDAN AND THE AFLATOXIN BELT — A Unified Solution for Aflatoxin Poisoning, Cancer, and Public Health Transformation
The N-K GM Series offers a free, effective solution to eliminate aflatoxin and cancer, improving health and life expectancy.
research Analysis of histology and long noncoding RNAs involved in the rabbit hair follicle density using RNA sequencing
Higher hair follicle density leads to more wool in rabbits, influenced by specific genes and lncRNAs.
research Consecutive transposition flaps for the management of slot formation after alopecia-reducing surgery.
Using consecutive transposition flaps can manage gaps in hair growth after multiple hair loss surgeries.