A5080343941- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Nutritional Studies and Diet
- Climate change impacts on agriculture
- COVID-19 Clinical Research Studies
- Data Visualization and Analytics
- Rice Cultivation and Yield Improvement
- Long-Term Effects of COVID-19
- Persona Design and Applications
- Culinary Culture and Tourism
- Communication and COVID-19 Impact
- Advanced Graph Neural Networks
- Irrigation Practices and Water Management
- Diet and metabolism studies
- Gut microbiota and health
- Misinformation and Its Impacts
- Data-Driven Disease Surveillance
- Respiratory Support and Mechanisms
National Center for Supercomputing Applications
2019-2024
University of Illinois Urbana-Champaign
2016-2024
Lung epithelial and endothelial cell damage defective lung tissue repair contribute to fatal COVID-19.
We present Knowledge Engine for Genomics (KnowEnG), a free-to-use computational system analysis of genomics data sets, designed to accelerate biomedical discovery. It includes tools popular bioinformatics tasks such as gene prioritization, sample clustering, set analysis, and expression signature analysis. The specializes in "knowledge-guided" mining machine learning algorithms, which user-provided are analyzed light prior information about genes, aggregated from numerous knowledge bases...
The Pan American Health Organization/World Organization (PAHO/WHO) Anti-Infodemic Virtual Center for the Americas (AIVCA) is a project led by Department of Evidence and Intelligence Action in Health, PAHO Informatics, PAHO/WHO Collaborating on Information Systems at University Illinois, with participation staff consultants across region. Its goal to develop set tools—pairing AI human judgment—to help ministries health related institutions respond infodemics. Public officials will learn about...
Abstract Objectives Visual hierarchy underlies all visual design decisions related to information presentation. This manuscript describes the experience of a multidisciplinary health data visualization and software team in using redesign hereditary colorectal cancer lab report. Materials Methods A series interviews with representative users were conducted identify target user groups determine for each type. elements (eg, size, color, contrast, etc.) then assigned mirror workflow Results User...
Abstract We present KnowEnG, a free-to-use computational system for analysis of genomics data sets, designed to accelerate biomedical discovery. It includes tools popular bioinformatics tasks such as gene prioritization, sample clustering, set and expression signature analysis. The offers ‘knowledge-guided’ data-mining machine learning algorithms, where user-provided are analyzed in light prior information about genes, aggregated from numerous knowledge-bases encoded massive ‘Knowledge...
Background A growing body of literature supports the ability specific foods and nutrients to impact gastrointestinal microbiome. However, there is a dearth knowledge on interplay dietary components (e.g. nutrients), bacteria, bacterial metabolites. Current analytical approaches limit investigation these complex interrelations; therefore, further research utilizing modern machine learning methods needed. Objective We aimed fill gap in about interrelationship diet, microbiome, health by...
We present an open source extensible web framework for the analysis of different farm practices and programs easy dissemination their results to users. Currently, this is being applied two use cases --- a web-based decision support system cover crop management program tool assist farmers, academics, policymakers understand policies surrounding Farm Bill. Through first case, we address problem bridging gap between scientific research that happens in labs experimental plots day decisions taken...