research Diagnostic value of the diagonal earlobe crease in combination with lipoprotein(a) in coronary heart disease
Diagonal earlobe crease and lipoprotein(a) together help diagnose coronary heart disease.
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research Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and An Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
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 Correlation of Hair Mineral Concentrations with Insulin Resistance in Korean Males
Higher hair calcium to magnesium ratios and lower chromium levels in hair may indicate insulin resistance in Korean men.
research How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders
AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
research Trichoscopic Features, Clinical Correlates, and Risk Prediction in Female Pattern Hair Loss: A Retrospective Case-Control Study
Female pattern hair loss is linked to genetics, family history, and lifestyle factors.
research Identification of SLC40A1, LCN2, CREB5, and SLC7A11 as ferroptosis-related biomarkers in alopecia areata through machine learning
Four genes are potential markers for hair loss condition alopecia areata, linked to a specific type of cell death.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research The coenzyme A precursor pantethine enhances antitumor immunity in sarcoma
Pantethine may boost the immune system's ability to fight sarcoma.
research 1747 PREDICTION OF BLADDER PROSTATIC OBSTRUCTION: DEVELOPMENT OF A SIMPLIFIED CLINICAL NOMOGRAM
Researchers created a simple tool to predict bladder blockage from prostate enlargement using urine flow rate and prostate volume.
research Higher body mass index is associated with greater severity of alopecia in men with male-pattern androgenetic alopecia in Taiwan: A cross-sectional study
Higher BMI links to worse hair loss in Taiwanese men.
research The G1/S transition in mammalian stem cells in vivo is autonomously regulated by cell size
Cell size controls when stem cells divide.
research All ABSTRACT
Personalized, minimally invasive treatments improve urology outcomes.
research Hair, Cutaneous Homeostasis and Stem Cell Functions
Proteins like aPKC and PDGF-AA, substances like adenosine and ATP, and adipose-derived stem cells all play important roles in hair growth and health, and could potentially be used to treat hair loss and skin conditions.
research Abstracts from the 55th European Society of Human Genetics (ESHG) Conference: Oral Presentations
NIPT can help detect potential maternal cancer, and GIPXplore can identify immune diseases in pregnancies.
research Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
Deep learning effectively diagnoses scalp disorders, but improvements are needed.
research Familial aggregation of alopecia areata
Alopecia areata, a common autoimmune hair loss condition, often runs in families.
research The pathogenesis of alopecia areata
Alopecia areata is an autoimmune disease affecting hair follicles and may harm heart health.
research Multivariate analysis of prognostic factors in patients with rapidly progressive alopecia areata
Patients with rapidly progressive alopecia areata often have a better outlook and shorter disease duration, with regrown fine hairs and no past alopecia being positive signs.
research Forensic and Legal Medicine
Forensic medicine is crucial for justice and needs continuous innovation and technology integration.
research Therapeutic small extracellular vesicles from key human stem and immune cellular sources: A review
Small extracellular vesicles from stem and immune cells show promise for treating various diseases but face challenges in clinical use.
research Type 2 Diabetes, Metabolic Syndrome and Lipid Metabolism
Type 2 diabetes in youth is increasing, with high treatment failure rates and more severe than Type 1; certain drugs can lower lipid levels effectively with varying side effects, and apples may benefit heart health like statins but with fewer side effects.
research Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
research Genetic prediction of male pattern baldness based on large independent datasets
New models predict male pattern baldness better than old ones but still need improvement.
research Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Machine learning can effectively predict type 2 diabetes risk.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research Associations of Omega-3 (n-3) Fatty Acids With Male Pattern Hair Loss Improvement: A Prospective Cohort Study
Omega-3 fatty acids may not help and could harm hair loss improvement in middle-aged or elderly men.
research A Profuse Pipeline of Promising Options
The document concludes that significant investment in agricultural innovation is necessary to achieve global food security and nutrition.
research Assessment of college students’ mental health status based on temporal perception and hybrid clustering algorithm under the impact of public health events
A new method accurately measures college students' mental health by considering time perception and clustering techniques.
research Detecting shortcut learning for fair medical AI using shortcut testing
The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.