research Further errors in polymorph identification: furosemide and finasteride
Errors found in identifying furosemide and finasteride polymorphs due to incomplete data.
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research Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
Machine learning can accurately predict PCOS phenotypes using lifestyle and symptom data.
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.
research The Dark Side of the Language: Pre-trained Transformers in the DarkNet
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
research Additional Benefit Scoring During Health Technology Assessment in Germany - Its Drivers and Impact on Pricing and Discount for Orphan Drugs
Orphan drug benefit scores in Germany are influenced by phase III data and lack of alternatives, but not linked to price or discounts.
research Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.2)"
The study improved and was accepted despite initial concerns about data clarity, methodology, and potential overfitting.
research Peer Review #2 of "Computational drug repositioning based on side-effects mined from social media (v0.2)"
The peer review highlighted the need for clearer data handling, questioned the study's validity, and recognized improvements from the original version.
research Dimensions of drug information
A new method organizes drug information to improve data use and create a comprehensive drug database.
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 Choice of recall period for patient-reported outcome (PRO) measures: criteria for consideration
Choosing the right recall period for patient feedback is important for accurate data and depends on the disease, symptom changes, and patient impact.
research Is there a therapeutic effect of botulinum toxin on scalp alopecia? Physiopathology and reported cases: A systematic review of the literature
Botulinum toxin's effectiveness for treating scalp alopecia is not well-supported due to insufficient data.
research Safety and efficacy of transdermal testosterone for treatment of hypoactive sexual desire disorder
Transdermal testosterone can improve sexual desire in postmenopausal women but lacks long-term safety data and is not FDA-approved for this use.
research Exploring the Potential of DALL-E 2 in Pediatric Dermatology: A Critical Analysis
DALL-E 2 is only accurate for acne in pediatric dermatology and needs better data for other conditions.
research MendelVar: gene prioritization at GWAS loci using phenotypic enrichment of Mendelian disease genes
MendelVar is a tool that helps identify important genes by combining GWAS data with Mendelian disease information.
research Gebelik ve emzirme döneminde kozmesötik kullanımı
Use of cosmeceuticals during pregnancy and breastfeeding is not recommended due to insufficient safety data.
research Managing scalp ringworm in children
New treatments for children's scalp ringworm are recommended based on recent data.
research A Comprehensive Review of Alopecia Areata Detection Using Self-Supervised Auto ML Models: Systematic Insights and Emerging Challenges
AI models are effective for detecting alopecia areata but face challenges like explaining results and data bias.
research Patient-reported outcomes, provider-reported outcomes, and physiologic parameters after gender-affirming hormone treatment in Canada: a systematic review
Gender-affirming hormone treatments need better patient-focused outcome measurements and standardized data collection.
research Les hormones sexuelles et la peau : questionnaire à l'attention des vétérinaires praticiens. Mise à jour bibliographique et synthèse
Sex hormones affect dog skin conditions, but more data is needed.
research Comment on “The effect of platelet-rich plasma on female androgenetic alopecia: A randomized controlled trial”: Phototrichogram analysis
Platelet-rich plasma therapy's effectiveness for female hair loss needs more accurate data and further examination.
research Histological findings of follicular units in patients with androgenetic alopecia before and after application of autologous platelet-rich plasma.
The effectiveness of APRP for hair loss is unclear due to limited data.
research Analysis of the human diseasome using phenotype similarity between common, genetic and infectious diseases
The study found that diseases can be grouped by symptoms and that the accuracy of predicting disease-related genes varies with the data source.
research Is methotrexate an effective and safe treatment for maintaining hair regrowth in people with alopecia totalis? A Critically Appraised Topic
Methotrexate's effectiveness for maintaining hair regrowth in alopecia totalis is unclear due to limited and biased data.