research A proposal for a new design: the exposure–crossover design
The "exposure–crossover design" helps assess individual changes in risk after events like car crashes.
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900-930 / 1000+ resultsresearch Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
The model predicts minoxidil's effectiveness and side effects better than traditional methods.
research Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
research Modeling share dynamics by extracting competition structure
The model can predict website market shares by identifying competition among them.
research Prediction of male-pattern baldness from genotypes
Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
research Modeling using discriminant analysis of the possibility of occurrence and features of the course of various forms of urticaria in ukrainian women depending on the features of anthropo-somatotypological indicators
The models accurately predicted urticaria in Ukrainian women but struggled to differentiate between mild and severe cases based on body structure.
research Specialization and the Physician Workforce
The document suggests changing medical education to balance generalists and specialists, focusing on patient needs.
research Hot Stuff: Thermal Imaging Aids in Cellulitis Diagnosis
The document concludes that a protein involved in hair growth may link to baldness and that more research is needed on its role in hair loss and skin cancer treatments.
research Comparative Analysis of Machine Learning Algorithms in Diagnosis of Polycystic Ovarian Syndrome
The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
research LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
research Testing the impact of trait prevalence priors in Bayesian-based genetic prediction modeling of human appearance traits
Using trait prevalence priors in genetic prediction models for appearance traits is currently impractical due to limited knowledge and potential accuracy issues.
research Human gene correlation analysis (HGCA): A tool for the identification of transcriptionally co-expressed genes
The HGCA tool helps identify genes that work together by analyzing their co-expression patterns.
research QSAR Analysis of a Series of Hydantoin‐based Androgen Receptor Modulators and Corresponding Binding Affinities
Researchers developed reliable models to predict how well certain compounds bind to androgen receptors, emphasizing the importance of atomic electronegativity.
research Applying Machine Learning Technique on Registry Data to Assess Factors Associated With In-Hospital Mortality Among STEMI Patients With Hypertension
Age, diabetes, and cardiogenic shock at PCI are key factors linked to in-hospital death in STEMI patients with hypertension.
research Predictive Skin Permeation of Ethinylestradiol,α-Asarone,Finasteride and Risperidone
The Potts-Guy model best predicts skin permeability for the tested drugs.
research Integrating Biomarkers from Correlation Analysis and Metric Learning for Hair Loss Classification
Combining biomarker analysis and advanced algorithms improves hair loss detection accuracy.
research A Genome-Wide Association Study and Machine-Learning Algorithm Analysis on the Prediction of Facial Phenotypes by Genotypes in Korean Women
The model accurately predicts skin conditions in Korean women using genetic information, aiding personalized skincare.
research Dermatological practice and psychiatry
Many skin patients have mental health issues, so dermatologists should consider psychological care.
research Potential Medical Uses of Cannabigerol: A Brief Overview
CBG may help with various medical conditions but needs more human research to confirm safety and effectiveness.
research 924 Efficient genome editing using CRISPR/Cas9 ribonucleoprotein approach in iPS cells for recessive dystrophic epidermolysis bullosa
Researchers fixed gene mutations causing a skin disease in stem cells, which then improved skin grafts in mice.
research G367(P) A chubby child: is this a sign of health or malnutrition?
A chubby child can still be malnourished.
research A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions
A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.
research Use of Single‐Cell Data and scPagwas Analysis to Identify T Cell Subsets and Construct a Prognostic Model for Clear Cell Renal Cell Carcinoma
T cell subsets are crucial in kidney cancer, and a new model predicts patient outcomes using key genes.
research Dodatek A: Model matematyczny AL/RC/ASE. Functional Androgen Axis (FOA) - wersja operacyjna v1.2
The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
research Smart Diagnostic System for Health Risk Assessment
WomenCare helps predict PCOD risk in women to encourage early medical consultation.
research Spontaneous tumour regression in keratoacanthomas is driven by Wnt/retinoic acid signalling cross-talk
Skin tumor regression is helped by retinoic acid signaling blocking Wnt signaling.
research A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
Machine learning can accurately predict mental disorders.
research Guidelines for the management of alopecia areata
The 2003 guidelines suggest that while some treatments can regrow hair in alopecia areata, none alter the disease's progression, and wigs may be the best option for extensive hair loss.
research Therapeutic anti-inflammatory potential of formyl-peptide receptor agonists
Formyl-peptide receptor agonists could be new anti-inflammatory drugs.
research Bioactive antiinflammatory antibacterial hemostatic citrate-based dressing with macrophage polarization regulation for accelerating wound healing and hair follicle neogenesis
A special dressing called FEA-PCEI can speed up wound healing, reduce scars, and help grow new hair follicles, but only at the right dosage.