A5010331775- Fungal and yeast genetics research
- Protein Kinase Regulation and GTPase Signaling
- Diet, Metabolism, and Disease
- Diet and metabolism studies
- Microbial Metabolic Engineering and Bioproduction
- Inflammatory Bowel Disease
- Metabolism, Diabetes, and Cancer
- Photosynthetic Processes and Mechanisms
- Machine Learning in Healthcare
- Digital Transformation in Industry
- Statistical Methods in Clinical Trials
- Receptor Mechanisms and Signaling
- Helicobacter pylori-related gastroenterology studies
- Biofuel production and bioconversion
- Microscopic Colitis
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Artificial Intelligence in Healthcare and Education
- Gene Regulatory Network Analysis
- 14-3-3 protein interactions
AstraZeneca (United States)
2024
PricewaterhouseCoopers (United States)
2022-2023
University of North Carolina at Chapel Hill
2015
Physicians are often required to make treatment decisions for patients with Crohn's disease on the basis of limited objective information about state patient's gastrointestinal tissue while aiming achieve mucosal healing. Tools predict changes in health needed. We evaluated a computational approach integrating mechanistic model responder classifier temporal health. A hybrid mechanistic–statistical platform was developed biomarker and time courses disease. Eligible from VERSIFY study (n = 69)...
G protein–coupled receptor (GPCR) signaling is fundamental to physiological processes such as vision, the immune response, and wound healing. In budding yeast Saccharomyces cerevisiae, GPCRs detect respond gradients of pheromone during mating. After stimulation, GPCR Ste2 removed from cell membrane, new receptors are delivered growing edge. The regulator protein (RGS) Sst2 acts by accelerating GTP hydrolysis facilitating pathway desensitization. also known interact with Ste2. Here we show...
Lifestyle interventions have been shown to prevent or delay the onset of diabetes; however, inter-individual variability in responses such makes lifestyle recommendations challenging. We analyzed Japan Diabetes Outcome Intervention Trial-1 (J-DOIT1) study data using a previously published mechanistic simulation model type 2 diabetes and progression understand causes optimize dietary intervention strategies at an individual level. J-DOIT1, large-scale study, involved 2607 subjects with...
Abstract Lifestyle interventions have been shown to prevent or delay the onset of diabetes; however, inter-individual variability in responses such makes lifestyle recommendations challenging. We analyzed Japan Diabetes Outcome Intervention Trial-1 (J-DOIT1) study data using a previously published mechanistic simulation model type 2 diabetes and progression understand causes optimize dietary intervention strategies at an individual level. J-DOIT1, large-scale randomized study, involved 2607...