research Evaluating statistics in clinical trials: Making the unintelligible intelligible
Doctors need to understand statistics to properly evaluate clinical trials for patient care.
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research Limitations of Treatment-Induced Alopecia Grading Instruments in Evaluating Therapeutic Response
Current methods for grading hair loss from cancer treatment are not accurate enough and need improvement.
research 129 Utilizing Polygenic score in predicting the disease activity and arthritis in psoriasis patients
Polygenic Score can help predict severe psoriasis and psoriatic arthritis.
research Identification and Expression of the Target Gene SLC24A2 of oar-miR-377 and Its Novel SNPs Effects on Wool Traits in Sheep
A specific genetic variation affects wool quality in sheep.
research Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
The new method improves accuracy in segmenting scalp tissue layers.
research Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings
Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.
research The Trichoscopy Derived Sinclair Scale: Enhancing visual assessment through quantitative trichoscopy
The Trichoscopy Derived Sinclair Scale offers a more accurate and reliable way to measure hair loss severity than the traditional visual method.
research Real-World Quantification of Treatment Response to Low-Dose Oral Minoxidil in Non-Scarring Alopecia
Low-dose oral minoxidil significantly improves hair density in non-scarring alopecia.
research An Integrated Approach for Diabetes Detection Using Fisher Score Feature Selection and Capsule Network
The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.
research Pitfalls of PCR-Based Strategy for Genotyping Cre-Loxp Mice
PCR genotyping in cre-loxP mice can be inaccurate due to unintended gene deletions in non-target tissues.
research Development and Validation of a Dermoscopic Severity Score for Female Pattern Hair Loss
A reliable severity score for female pattern hair loss was developed and validated.
research Is there a relationship between alopecia and anthropometric indicators? Modern scientific view
Anthropometric measurements like weight and BMI may help identify alopecia risk groups.
research A study of the Geheimratsacken angle as predictor for early diagnosis of androgenetic alopecia in adolescent population
research BH04 Growing interest: a survey of low-dose oral minoxidil prescribing for hair loss
Low-dose oral minoxidil is increasingly used by dermatologists in the UK and Ireland to treat various hair loss conditions.
research Linear alopecia in pediatrics: RCM and dermoscopy reveal diagnostic cues
RCM and dermoscopy help identify different types of hair loss in children.
research Validation of the Cutaneous Lupus Disease Area and Severity Index (CLASI) using physician- and patient-assessed health outcome measures
CLASI is a valid tool for assessing skin activity and damage in lupus patients.
research Comparison of mathematical indices of insulin resistance for clinical application in the four phenotypes of polycystic ovarian syndrome
Insulin resistance varies among PCOS types, and simple math tools can help identify it early.
research The Adapted Classification of Male Pattern Hair Loss Improves Reliability
Adapted classification better assesses male pattern hair loss and its link to heart disease.
research Left ventricular myocardial mass index and its correlates as an early marker of cardiovascular risk among nonobese normotensive Indian women with polycystic ovary syndrome: lessons from a cross-sectional study
Nonobese, normotensive Indian women with PCOS may have a higher risk of heart problems linked to inflammation and insulin resistance.
research Correlation between sebum level and severity of male androgenetic alopecia
Higher sebum levels are linked to more severe male baldness.
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 Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
research Penerapan Algoritma Naive Bayes untuk Prediksi Kerontokan Rambut
Naive Bayes algorithm can help predict hair loss risk early.
research Alopecia areata: Multivariate analysis for predicting its clinical course
Certain factors like patchy hair loss at the back of the head, being female, and younger age at diagnosis can lead to a worse outcome for alopecia areata.
research Why care about Linear Hair Growth Rates (LHGR)? A study using in vivo imaging and computer assisted image analysis after manual processing (CAIAMP) in unaffected male controls and men with male pattern hair loss (MPHL)
Thicker hair grows faster; hair loss patients have slower growth.
research A new practical classification for spatial distribution and morphology of human hair: Ahmad's LGMA classification
Dr. Muhammad Ahmad created a hair classification system to help improve hair restoration surgery outcomes.
research Validation of International Classification of Diseases Codes for Dermatologic Conditions
ICD codes for skin conditions vary in accuracy, needing better validation for some common conditions.
research Investigation of the association of the MLPH gene with seasonal canine flank alopecia in Rhodesian Ridgeback dogs
The MLPH gene is not linked to seasonal hair loss in Rhodesian Ridgeback dogs.
research The Polycystic Ovary Syndrome Health-Related Quality-of-Life Questionnaire: Confirmatory Factor Analysis
The questionnaire is valid and reliable but needs more testing for future predictions.
research Progressive Hair Loss and Myocardial Degeneration in Rough Coat Mice: Reduced Lysyl Oxidase-Like (LOXL) in the Skin and Heart
The gene causing hair loss and heart issues in rough coat mice is still unknown.