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 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 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 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 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 A lipid–polymer hybrid nanoparticle (LPN)-loaded dissolving microneedle patch for promoting hair regrowth by transdermal miR-218 delivery
The microneedle patch effectively promotes hair regrowth by delivering miR-218.
research Effects of lncRNA MTC on protein expression in skin fibroblasts of Liaoning Cashmere goat based on iTRAQ technique
lncRNA MTC helps goat skin cells grow and may aid hair growth by controlling proteins linked to cell growth.
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 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 Perbandingan Algoritma Multi-Thresholding, Konversi Biner, Low-Pass Filtering pada Segmentasi Rambut Kaki
Multi-thresholding is the best method for separating hair from skin in laser hair removal.
research 139 Identification of long noncoding RNAs in mouse hair follicle stem cells using computational methods
Scientists found new and known long non-coding RNAs in mouse hair follicle stem cells that may be important for stem cell function and could be targets for cancer treatment.
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 A missense mutation in Lama3 causes androgen alopecia
A gene mutation in Lama3 is linked to a common type of hair loss.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
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 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 DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
research Analysis of lncRNAs Expression Profiles in Hair Follicle of Hu Sheep Lambskin
lncRNAs may regulate hair follicle development in Hu 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 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 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 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.
research An Integrated Analysis of Cashmere Fineness lncRNAs in Cashmere Goats
lncRNA XLOC_008679 and gene KRT35 affect cashmere fineness in goats.
research Lichen myxedematosus in a patient with hepatocellular carcinoma
Removing the liver tumor improved the patient's skin condition and hair growth.
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 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 Expression profile of long non-coding RNA in inner Mongolian cashmere goat with putative roles in hair follicles development
Certain long non-coding RNAs are important for the growth of hair follicles in Inner Mongolian cashmere goats.
research Nε-(carboxymethyl) lysine (CML) inhibits hair follicle formation by suppressing hair bulb condensation
research Synthesis of minoxidil conjugates and their evaluation as HL-60 differentiation agents
Some minoxidil combinations can help differentiate leukemia cells without harming other 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.