A5077673716- Algebraic and Geometric Analysis
- AI in cancer detection
- Data Management and Algorithms
- Asthma and respiratory diseases
- Semantic Web and Ontologies
- Urticaria and Related Conditions
- Mathematical Analysis and Transform Methods
- Focus Groups and Qualitative Methods
- Artificial Intelligence in Healthcare and Education
- Service-Oriented Architecture and Web Services
- Marketing and Advertising Strategies
- Dermatology and Skin Diseases
- Social Media in Health Education
- Advanced Topics in Algebra
- Radiomics and Machine Learning in Medical Imaging
- Advanced Algebra and Geometry
Johns Hopkins Medicine
2025
Johns Hopkins University
2025
University of Maryland, Baltimore
2025
George Mason University
2004-2009
This retrospective study investigates the role of baseline immunoglobulin E (IgE) levels in predicting therapeutic response to dupilumab prurigo nodularis (PN) patients. Our findings show that patients with elevated IgE experienced significantly greater relief from pruritus, suggesting could serve as a biomarker for identifying individuals who are more likely benefit IL-4 and IL-13-targeted therapies. These results support development personalized treatment strategies based on inflammatory...
Knowledge Sifter is a scaleable agent-based system that supports access to heterogeneous information sources such as the Web, open-source repositories, XML-databases and emerging Semantic Web. User query specification supported by user agent accesses multiple ontologies using an integrated conceptual model. A collection of cooperating agents interactive specification, refinement, decomposition, processing, well result ranking presentation. The architecture general modular so can be easily...
In this article we exploit some general results on the tensor product of free resolutions to deduce important new algebraic properties biregular functions in 2n quaternionic variables. particular, are able construct a minimal resolution for associated module and compute all relevant graded Betti numbers.
<sec> <title>UNSTRUCTURED</title> The dermatology match is a highly discussed topic, and creators online often comment about the qualifications needed to match. Social media posts can share differing advice with potential misinformation that cause excess stress deter students interested in dermatology. We aimed assess quality of information process, sources from Reddit, Student Doctor Network (SDN), TikTok. In March 2024, “How into dermatology” “Advice for process” was searched on these...