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.
Search
for
Sort by
Research
840-870 / 1000+ results research Transduction‐induced overexpression of Merkel cell T antigens in human hair follicles induces formation of pathological cell clusters with Merkel cell carcinoma‐like phenotype
Overexpressing Merkel cell virus proteins in human hair follicles can create clusters of cells that resemble Merkel cell cancer.
research 644 Tumor cell adhesion as a risk factor for SLN metastasis and predictor of disease recurrence in primary cutaneous melanoma
Tumor cell adhesion is linked to higher risk of SLN metastasis and melanoma recurrence, and a model including these factors predicts these outcomes better than one with just clinical data.
research A New Technique for Quantitative Analysis of Hair Loss in Mice Using Grayscale Analysis
A new method measures mouse hair loss using shades of gray.
research Simulation Guided Hair Dynamics Modeling from Video
The method improves hair animation from video by combining image techniques and simulations.
research Optimizing skin disease diagnosis: harnessing online community data with contrastive learning and clustering techniques
Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
research Post-Exposure Syndromes as State-Space Trapping: A set-theoretic perspective on PSSD and the post-exposure family.
Post-Exposure Syndromes are persistent conditions caused by past exposures, needing unique interventions.
research Evidence that mirex promotes a unique population of epidermal cells that cannot be distinguished by their mutant Ha-ras genotype
Mirex seems to promote a unique group of skin cells different from those affected by another tumor promoter, TPA.
research Transgenic Flash Mice for In Vivo Quantitative Monitoring of Canonical Wnt Signaling to Track Hair Follicle Cycle Dynamics
Researchers developed a mouse model that tracks hair growth using bioluminescence, improving accuracy in studying hair cycles.
research A Novel Nomogram for Predicting Gonadotropin-Releasing Hormone Analogue Treatment Outcome in Girls with Idiopathic Central Precocious Puberty
A new model helps predict treatment success in girls with early puberty.
research Discovery of a novel and highly selective JAK3 inhibitor as a potent hair growth promoter
MJ04, a new compound, effectively promotes hair growth and is a potential topical treatment for hair loss.
research Evaluating HWE and Association in Genome Wide Association Studies: A Unified Procedure
The new method improves SNP analysis in genetic studies by combining tests, enhancing accuracy and cost-effectiveness.
research Homogenization theory captures macroscopic flow discontinuities across Janus membranes
The homogenization theory effectively describes how flow behaves differently across asymmetric membranes.
research A Point to Consider in the Statistical Analysis of Scientific Studies
research Animal models of psoriasis—highlights and drawbacks
Animal models help study psoriasis but have limitations and don't fully mimic the human disease.
research Forensic DNA phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges like inconsistent terms and limited genetic knowledge.
research The Pharma Market as Reflected by Patents
The document shows the state of pharmaceutical patents as of 1999, focusing on treatments for various diseases.
research Cognitive and personal potential of adaptation to multitasking conditions in bank employees
Bank employees' multitasking effectiveness improves with cognitive flexibility, time management, stress tolerance, motivation, and specialized training.
research A novel immune competent murine hypertrophic scar contracture model: A tool to elucidate disease mechanism and develop new therapies
The model helps understand scar contraction and develop new treatments.
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 Pattern formation on regular polygons and circles
Domain shape greatly affects pattern formation.
research Correlation and regression analysis of the KRT27 and ELOVL4 genes in cashmere fineness and other production performances in Liaoning cashmere goats
Certain gene combinations improve cashmere quality and production in Liaoning goats.
research Characterization of a new, inducible transgenic mouse model with GFP expression in melanocytes and their precursors
A new mouse model helps study melanocyte cells using GFP expression.
research 0040 Machine learning algorithms as tools for identifying predictive autoantibody biomarkers in pemphigus vulgaris
Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.
research A study on multidimensional quantification of occupations : development of numerical criteria for a broad range of occupations
The study created a numerical system to describe and compare 601 jobs in Japan.
research Machine Learning--Enhanced Pharmacovigilance Assessment of Cardiac Adverse Events Associated With Minoxidil
Minoxidil is strongly linked to heart problems, and machine learning can improve drug safety checks.
research Decoding precision medicine in prediabetes: a citespace-based bibliometric analysis of current trends and future directions
Precision medicine is crucial for early diagnosis and personalized treatment in prediabetes.
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 Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
A hybrid model using traditional methods, trichoscopy, and AI improves hair loss assessment.
research Estimating the Effect of Finasteride on Kallikrein Marker Levels in Blood and the Use of Converted Markers in the Four-Kallikrein Model
Finasteride improves prostate cancer prediction by adjusting kallikrein marker levels.