research PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
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180-210 / 1000+ resultsresearch Agglomerative clustering-based drugs graded for the risk signals of drug-induced cognitive disorder: a study on the FAERS database
Finasteride is high-risk for cognitive disorders, while Carbidopa/Levodopa, Topiramate, and Clonazepam are moderate-risk.
research A flexible fixed-sequence testing method for hierarchically ordered correlated multiple endpoints in clinical trials
The flexible fixed-sequence testing method allows for more effective evaluation of multiple goals in a clinical trial while controlling the risk of false positives.
research Epigenetic age estimation in saliva and in buccal cells
The model accurately predicts age from saliva and buccal cells for forensic use.
research A Comparative Analysis of Large Language Model Accuracy for Image-Based Hair Disease Identification in Diverse Skin Tones
ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
research Forensic DNA Phenotyping
Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.
research Modeling of ionizing radiation induced hair follicle regenerative dynamics
Hair follicles can regenerate after radiation damage but not during a specific growth phase.
research IGF2BP2 and IGFBP3 Genotypes, Haplotypes, and Genetic Models Studies in Polycystic Ovary Syndrome
Certain genetic variations in IGF2BP2 and IGFBP3 are linked to a higher risk of PCOS.
research Animal Models of Psoriasis – What Can We Learn from Them?
Rodent models helped understand psoriasis but none perfectly replicated the disease.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
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 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 The Pathogenesis of Alopecia Areata in Rodent Models
Alopecia Areata is an autoimmune disease affecting hair follicles, influenced by genetic and environmental factors, with rodent models being essential for research.
research 1430 Modeling the onset of senescence associated secretory phenotype predicts therapeutic targets
The research found that blocking a gene called NEMO can potentially prevent harmful effects of aging at the cellular level.
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 A computationally inferred regulatory heart aging model including post-transcriptional regulations
Researchers created a model to understand heart aging, highlighting key genes and pathways, and suggesting miR-208a as a potential heart attack biomarker.
research KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
research Author response: Interplay of opposing fate choices stalls oncogenic growth in murine skin epithelium
The balance between cell renewal and differentiation controls the growth of cancerous cells in mouse skin.
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 Abstracts
The model helps improve medical devices by showing how skin deforms under pressure.
research Self-Organizing and Stochastic Behaviors During the Regeneration of Hair Stem Cells
Hair stem cell regeneration is controlled by signals that can explain different hair growth patterns and baldness.
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 A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
research Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models
Mitochondrial genes help predict breast cancer outcomes and spread.
research 200 Deep learning model to predict sentinel lymph node status in melanoma patients
The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
research Mutant laboratory mice with abnormalities in hair follicle morphogenesis, cycling, and/or structure: An update
The document concludes that mouse models are crucial for studying hair biology and that all mutant mice may have hair growth abnormalities that require detailed analysis to identify.
research Evaluation of DNA Variants Associated with Androgenetic Alopecia and Their Potential to Predict Male Pattern Baldness
DNA variants can predict male pattern baldness, with higher risk scores increasing baldness likelihood.
research A computational modelling framework to quantify the effects of passaging cell lines
Passage numbers affect cell growth and experiment results.
research Logic-based modeling and drug repurposing for the prediction of novel therapeutic targets and combination regimens against E2F1-driven melanoma progression
Tadalafil and Finasteride may help treat aggressive melanoma.
research An Early Hair Loss Detection and Prediction Method Based on Machine Learning
Machine learning can accurately predict hair loss early, improving treatment options.