research Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation
The LTF gene may help predict and manage nonspecific orbital inflammation.
Search
for
Sort by
Research
300-330 / 1000+ resultsresearch 원저 : Mohs 미세도식 수술을 이용한 안검부 기저세포암의 준임상적 침윤 유형에 관한 연구
Oral minipulse therapy with betamethasone effectively promotes hair regrowth in alopecia areata with fewer side effects.
research A Model for Predicting Polycystic Ovary Syndrome Using Serum AMH, Menstrual Cycle Length, Body Mass Index and Serum Androstenedione in Chinese Reproductive Aged Population: A Retrospective Cohort Study
A model using hormone levels, cycle length, and BMI can help identify PCOS in Chinese women but isn't for screening teens.
research The Laxometer: increasing the safety of hair transplants that use a large number of grafts
The Laxometer helps make hair transplants with many grafts safer.
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 Cost-effectively dissecting the genetic architecture of complex wool traits in rabbits by low-coverage sequencing
Low-coverage sequencing is a cost-effective way to find genetic factors affecting rabbit wool traits.
research 1451 THE ASSOCIATION BETWEEN MALE PATTERN BALDNESS AND SECOND TO FORTH FINGER RATIO WITH PROSTATE CANCER- A PROSPECTIVE COHORT STUDY
Male pattern baldness may predict prostate cancer risk.
research 701 Rethinking alopecia scores: Correlating measures of hair loss with established photographic scoring systems
The conclusion suggests that a new system for measuring hair loss could be created using automated analysis of photographs.
research Epigenetic age estimation in saliva and in buccal cells
The model accurately predicts age from saliva and buccal cells for forensic use.
research Lichen Planus Activity and Damage Index (LiPADI)–Creation of the Questionnaire
LiPADI is a useful tool for monitoring the severity and treatment of lichen planus.
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 Evaluation of DNA Variants Associated with Androgenetic Alopecia and Their Potential to Predict Male Pattern Baldness
DNA variants can predict male pattern baldness, with higher risk scores increasing baldness likelihood.
research Proxalutamide Reduces the Rate of Hospitalization for COVID-19 Male Outpatients: A Randomized Double-Blinded Placebo-Controlled Trial
Proxalutamide significantly lowered hospital admissions for male COVID-19 patients compared to a placebo.
research First-in-human phase 1 study of ETC-159 an oral PORCN inhbitor in patients with advanced solid tumours.
ETC-159 was safe up to 30 mg, but no tumor shrinkage was seen.
research Association between genetically predicted leukocyte telomere length and non-scarring alopecia: A two-sample Mendelian randomization study
Shorter telomeres in white blood cells may increase the risk of a common type of hair loss.
research Prediction of gain-of-function and loss-of-function mutations using Combined Annotation Dependent Depletion (CADD)
C-scores can help predict gain-of-function and loss-of-function mutations.
research Facial Psoriasis Log-based Area and Severity Index: A valid and reliable severity measurement method detecting improvement of facial psoriasis in clinical practice settings
The Facial Psoriasis Log-based Area and Severity Index is a more effective way to measure improvements in facial psoriasis than the traditional method.
research The relationship between Homeostatic Model Assessment Insulin Resistance (HOMA-IR) values and pilonidal sinus disease in female adolescents: A retrospective study
High insulin levels may increase the risk of pilonidal sinus disease in female teens.
research Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
The new AI system improves remote skin condition diagnosis and access to care.
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 Optimization of finasteride nano-emulsion preparation by using chemometrics approaches (and/or Box-Behnken design and regresion model)
research Uniform boundedness and asymptotic behavior of solutions in a chemotaxis model for alopecia areata
research Development of predictive regression model for perceived hair breakage in Indian consumers
The model predicts hair breakage based on key hair properties and helps product developers.
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 Identification and expression of the target gene SLC24A2 of oar-miR-377 and its novel SNPs effects on wool traits in sheep
The TT genotype of a specific SNP in sheep is linked to better wool quality.
research Genetic prediction of male pattern baldness
Genetic factors can help predict male pattern baldness risk.
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 Second-to-fourth digit ratio and seborrheic dermatitis in males: a cross-sectional study*
Finger length ratios might predict risk for skin condition in males.
research Cost-effectively dissecting the genetic architecture of complex wool traits in rabbits by low-coverage sequencing
Low-coverage sequencing is a cost-effective way to identify genes related to wool traits in rabbits.
research Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
An intelligent system can classify hair follicles and measure hair loss severity with reasonable accuracy.