research LOP12
Sentinel lymph node biopsy is recommended for all types of desmoplastic melanoma due to higher rates of nodal metastasis.
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research Screened of long non-coding RNA related to wool development and fineness in Gansu alpine fine-wool sheep
Long non-coding RNAs help regulate wool fineness in Gansu alpine fine-wool sheep.
research LncRNA MSTRG.14227.1 regulates the morphogenesis of secondary hair follicles in Inner Mongolia cashmere goats via targeting ADAMTS3 by sponging chi-miR-433
LncRNA MSTRG.14227.1 hinders hair follicle development in cashmere goats, affecting cashmere quality.
research A missense mutation in Lama3 causes androgen alopecia
A gene mutation in Lama3 is linked to a common type of hair loss.
research Identification of Hypoxia and Mitochondrial-related Gene Signature and Prediction of Prognostic Model in Lung Adenocarcinoma
A gene-based model predicts lung adenocarcinoma outcomes and helps guide treatment decisions.
research Rule-out test for autism using machine-learning analysis of molecular temporal dynamics in hair - a multicenter study
A machine-learning test using hair can help detect autism early in infants.
research BaldPredict: AI-Driven Prediction Model for Alopecia Areata
AI can improve alopecia areata diagnosis with high accuracy.
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 DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research A quantitative technique to analyze and evaluate microstructures of skin hair follicles based on mueller matrix polarimetry
The technique accurately identifies and evaluates hair follicle structures in skin.
research Medical Reasoning with Large Language Models: A Survey and MR-Bench
Large language models struggle with accurate clinical decision-making compared to real-world needs.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research Minimizing Factual Inconsistency and Hallucination in Large Language Models
A new method improves the accuracy and reliability of language models by up to 42%.
research Analysis of lncRNAs Expression Profiles in Hair Follicle of Hu Sheep Lambskin
lncRNAs may regulate hair follicle development in Hu sheep.
research Discovery and Comprehensive Analysis of miRNAs from Liaoning Cashmere Goat Skin during Anagen
Certain miRNAs are linked to Cashmere goat hair quality.
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 scMC learns biological variation through the alignment of multiple single-cell genomics datasets
scMC effectively separates biological signals from technical noise in single-cell genomics data.
research LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
research Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
Fine-tuned BERT models are better than LLMs for detecting bias in medical data.
research An Integrated Analysis of Cashmere Fineness lncRNAs in Cashmere Goats
lncRNA XLOC_008679 and gene KRT35 affect cashmere fineness in goats.
research Long-lived proteins and DNA as candidate predictive biomarkers for tissue associated diseases
Long-lived proteins may predict age-related diseases.
research Lichen myxedematosus in a patient with hepatocellular carcinoma
Removing the liver tumor improved the patient's skin condition and hair growth.
research LncRNA MTC enhances the proliferation of Liaoning cashmere goat skin fibroblasts by modulating GSTM1-ASK1 interaction
LncRNA MTC boosts growth of goat skin cells, improving cashmere quality.
research Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
Deep learning can improve non-invasive alopecia diagnosis using hair images.
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 Application of lncRNA-miRNA-mRNA ceRNA network analysis in the treatment of androgenic alopecia.
The lncRNA LOXL1-AS1 may help diagnose and treat androgenic alopecia.
research 202 Automated assessment of tumor infiltrating lymphocytes informs mortality in thin melanoma
An automated system can predict death risk in thin melanoma by analyzing immune cells.
research AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
The AI model accurately classifies Alopecia Areata with 96.94% accuracy.
research Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.