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.
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research Analysis of Animal Models of Alopecia Areata(AA) Based on Clinical Features of Traditional Chinese and Western Medicine
Better models and evaluation methods for alopecia areata are needed.
research STIM1 R304W in mice causes subgingival hair growth and an increased fraction of trabecular bone
The STIM1 R304W mutation in mice leads to bone changes and teeth hair growth.
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 Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can mislead our understanding of COVID-19 risk and severity.
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 706 Predictive modeling of patient response to JAK/STAT inhibitors and dynamic patient-matching
Machine learning can predict how well patients with alopecia areata will respond to certain treatments.
research A novel mouse model demonstrates that oncogenic melanocyte stem cells engender melanoma resembling human disease
Oncogenic melanocyte stem cells can develop into melanoma similar to human cases.
research Genetic Fate Mapping Using Site-Specific Recombinases
The document concludes that careful design of genetic fate mapping experiments is crucial for accurate cell lineage tracing in mice.
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 Demonstration of photochemical grid model usage for ozone control assessment
Ingesting minoxidil can cause severe health issues, requiring urgent medical treatment.
research Body dynamics, social meaning-making, and scale heterogeneity: re-considering contextualization cues and language as mixed-mode semiosis
Confinement in farrowing crates doesn't increase chronic stress in sows, but hair cortisol measurements may not reliably indicate stress due to hair growth variations.
research Disease-related biomarkers as experimental endpoints in 3D skin culture models
research Modeling Chemotherapy-Induced Hair Loss: From Experimental Propositions toward Clinical Reality
A new model using mice with human hair follicles helps better understand hair loss from chemotherapy.
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 Scattering from Elliptical Hair Fibers Based on Microfacet Theory
research Foot shock stress prolongs the telogen stage of the spontaneous hair cycle in a non‐depilated mouse model
Stress in mice delays hair growth and treatments blocking substance P can partly reverse this effect.
research 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 Explaining and predicting the single channel versus multi-channel consumer: the case of an embarrassing product
The Theory of Planned Behaviour predicts consumer behavior better when emotions, personality, demographics, and marketing are included.
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 Alopecia Areata: Updates from the Mouse Perspective
Mouse models help understand alopecia areata and find treatments.
research The C3H/HeJ mouse and DEBR rat models for alopecia areata: review of preclinical drug screening approaches and results
Both mouse and rat models are effective for testing alopecia areata treatments.
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 Combination Therapies and the Theoretical Limits of Evidence-Based Medicine
The current system can't fully test all combination treatments, so alternative methods and regulatory flexibility are needed.
research Intranasal sensitization model of alopecia areata using pertussis toxin as adjuvant
Pertussis toxin may contribute to hair loss in alopecia areata.
research Biomechanics of hair fibre growth: A multi-scale modeling approach
The model shows that factors like follicle shape and stiffness are key for hair growth and anchoring.
research A machine learning and network framework to discover new indications for small molecules
The model successfully predicted new uses for existing drugs, like using certain hormonal and heart medications for respiratory and Parkinson's diseases, and a cancer drug for diabetes.
research Abstract 80
Different levels of shear stress affect where cells move and gather in a 3D-printed model, helping to better understand cell behavior in blood vessels.
research A 3D microtumour system that faithfully represents ovarian cancer minimal residual disease
The study developed a 3D model that closely imitates remaining ovarian cancer after treatment and identified a potential drug targeting resistant cancer cells.
research Three-Dimensional-Bioprinted Non-Small Cell Lung Cancer Models in a Mouse Phantom for Radiotherapy Research
3D bioprinted lung cancer models in a mouse-like structure offer a better way to study radiation effects without using live animals.