research Melanoma follow-up and mortality: A large-scale study of Medicare patients
Regular follow-up visits, especially with dermatologists, can lower death rates for melanoma patients, with socioeconomic factors also affecting outcomes.
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research New allergens for the 21st century
Recognizing new allergens can help reduce contact dermatitis cases.
research PD20-08 INVESTIGATION OF SEXUAL DYSFUNCTION LINKED TO FINASTERIDE USE: A PHARMACOVIGILANCE ANALYSIS
Finasteride use is strongly linked to sexual dysfunction, especially in young men treating hair loss.
research The temptation of large numbers
Large databases in research can lead to misleading conclusions due to biases and chance findings; researchers should analyze data more rigorously.
research A Comprehensive Survey on Vitiligo Detection Using Deep Learning
Better datasets and methods are needed for reliable vitiligo detection using deep learning.
research AN OBSERVATIONAL STUDY TO STANDARDIZE THE DERMOSCOPIC FINDINGS OF NORMAL SCALP AND HAIRS IN MALE
Standardized data is essential for diagnosing scalp and hair conditions in males.
research Poster 252 Patient Registry of Outcomes in Spasticity Care
The data suggests that dosing differences can help manage spasticity in patients with upper motor neuron dysfunction.
research Google Trends as a Tool for Evaluating Public Interest in Facial Cosmetic Procedures
Google Trends data on facial cosmetic procedures matches actual surgery numbers, showing it can help plastic surgeons understand public interest.
research Corrigendum to “Endocrine controls of primary adult human stem cell biology: Thyroid hormones stimulate keratin 15 expression, apoptosis, and differentiation in human hair follicle epithelial stem cells in situ and in vitro” [Eur. J. Cell Biol. (2010) 769–777]
The authors clarified data overlap and corrected a figure error, apologizing for any confusion.
research Enhancing the diagnostic yield of monogenic diabetes in unresolved cases with early-onset hyperglycemia
Combining genetic and physical data improves diagnosis and treatment for early-onset monogenic diabetes.
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 Using a capture–recapture method to assess the frequency of adverse drug reactions in a French university hospital
The study found that combining different databases gives a better estimate of drug side effects in hospitals.
research Twenty-Five and Up (25Up) Study: A New Wave of the Brisbane Longitudinal Twin Study
The 25Up study collected extensive data on mental disorders and related factors in Australian twins and siblings to investigate the genetics of psychiatric illnesses.
research International collaboration and rapid harmonization across dermatologic COVID-19 registries
Global collaboration in dermatology improved data sharing and patient care during COVID-19.
research Traditional Knowledge Digital Library: The Challenges Ahead
The document suggests creating a secure database for indigenous knowledge and recommends that the TKDL actively fight patents that slightly alter traditional knowledge.
research Retraction of: Comparison of finasteride versus flutamide in the treatment of hirsutism
The article was retracted due to data integrity issues.
research Review on Alopecia Areata in the Middle East and Africa: Landscape and Unmet Needs
The Middle East and Africa need better data, treatment consensus, and support for Alopecia Areata.
research Dimensions of drug information
A new method organizes drug information to improve data use and create a comprehensive drug database.
research Retraction of “Crystallization Engineering in Aza-Steroid: Application in the Development of Finasteride”
Authors retracted paper due to errors in data and mislabeling.
research The current role of laser/light sources in the treatment of male and female pattern hair loss
Laser/light treatments for hair loss are popular but lack scientific data proving effectiveness.
research Further errors in polymorph identification: furosemide and finasteride
Errors found in identifying furosemide and finasteride polymorphs due to incomplete data.
research Dealing with information overload: application of evidence at point of care
Healthcare providers need skills to effectively use up-to-date, evidence-based information for better patient care.
research HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
"HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.
research AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
SL-HyDE improves medical information retrieval accuracy without needing labeled data.
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 Microsporum canis-Induced Tinea Capitis: A Rapid Screening Algorithm
A rapid screening method using trichoscopy and clinical data can improve diagnosis and treatment of tinea capitis.
research Comments on “Maternal–fetal safety evaluation of an aqueous extract of Casearia sylvestris [AECS ] leaves in rats” (Nagaoka et al., 2023 [DOI : 10.1002/bdr2.2257])
The commentary stresses the importance of using historical control data and proper interpretation in evaluating developmental toxicity.
research ARTIFICIAL INTELLIGENCE TECHNIQUES IN PREDICTION OF COVID-19 MORTALITY AND ITS RELATED FACTORS: A MULTI-CENTER STUDY
AI can effectively predict COVID-19 mortality risk using patient data.
research What happens when simulations get real and cosmetic dermatology goes virtual?
AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.
research Is It Time to Re-Imagine Clinical Trials in Nephrology?
Metatrials could improve clinical research in nephrology by speeding up data collection and overcoming challenges like patient recruitment.